US20130305060A9 - Distributed storage network data revision control - Google Patents

Abstract

Multiple revisions of an encoded data slice are generated, with each revision having the same slice name. Each of the data slices represents the same original data portion, but each is encoded so that no single data slice can be used to reconstruct the original data portion. Appropriate revision numbers are associated with each encoded data slice, and the encoded data slices and associated revision numbers are transmitted for storage in selected storage units of a distributed storage network. If write confirmations are received from at least a write threshold number of storage units, a commit command is transmitted so that the most recently written data slices will be available for access. After a commit command is issued, a current directory used to access the encoded data slices can be sliced, encoded, and stored in the same way as the data slices.

Description

CROSS REFERENCE TO RELATED PATENTS
• The present U.S. Utility patent application claims priority pursuant to 35 U.S.C. §119(e) to U.S. Provisional Application Ser. No. 61/256,226, entitled “DISTRIBUTED STORAGE NETWORK DATA REVISION CONTROL,” (Attorney Docket No. CS089), filed Oct. 29, 2009, pending, which is hereby incorporated herein by reference in its entirety and made part of the present U.S. Utility patent application for all purposes.
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT
• NOT APPLICABLE
INCORPORATION-BY-REFERENCE OF MATERIAL SUBMITTED ON A COMPACT DISC
• NOT APPLICABLE
BACKGROUND OF THE INVENTION
• 1. Technical Field of the Invention
• This invention relates generally to computing systems and more particularly to data storage solutions within such computing systems.
• 2. Description of Related Art
• Computers are known to communicate, process, and store data. Such computers range from wireless smart phones to data centers that support millions of web searches, stock trades, or on-line purchases every day. In general, a computing system generates data and/or manipulates data from one form into another. For instance, an image sensor of the computing system generates raw picture data and, using an image compression program (e.g., JPEG, MPEG, etc.), the computing system manipulates the raw picture data into a standardized compressed image.
• With continued advances in processing speed and communication speed, computers are capable of processing real time multimedia data for applications ranging from simple voice communications to streaming high definition video. As such, general-purpose information appliances are replacing purpose-built communications devices (e.g., a telephone). For example, smart phones can support telephony communications but they are also capable of text messaging and accessing the internet to perform functions including email, web browsing, remote applications access, and media communications (e.g., telephony voice, image transfer, music files, video files, real time video streaming. etc.).
• Each type of computer is constructed and operates in accordance with one or more communication, processing, and storage standards. As a result of standardization and with advances in technology, more and more information content is being converted into digital formats. For example, more digital cameras are now being sold than film cameras, thus producing more digital pictures. As another example, web-based programming is becoming an alternative to over the air television broadcasts and/or cable broadcasts. As further examples, papers, books, video entertainment, home video, etc. are now being stored digitally, which increases the demand on the storage function of computers.
• A typical computer storage system includes one or more memory devices aligned with the needs of the various operational aspects of the computer's processing and communication functions. Generally, the immediacy of access dictates what type of memory device is used. For example, random access memory (RAM) memory can be accessed in any random order with a constant response time, thus it is typically used for cache memory and main memory. By contrast, memory device technologies that require physical movement such as magnetic disks, tapes, and optical discs, have a variable response time as the physical movement can take longer than the data transfer, thus they are typically used for secondary memory (e.g., hard drive, backup memory, etc.).
• A computer's storage system will be compliant with one or more computer storage standards that include, but are not limited to, network file system (NFS), flash file system (FFS), disk file system (DFS), small computer system interface (SCSI), internet small computer system interface (iSCSI), file transfer protocol (FTP), and web-based distributed authoring and versioning (WebDAV). These standards specify the data storage format (e.g., files, data objects, data blocks, directories, etc.) and interfacing between the computer's processing function and its storage system, which is a primary function of the computer's memory controller.
• Despite the standardization of the computer and its storage system, memory devices fail; especially commercial grade memory devices that utilize technologies incorporating physical movement (e.g., a disc drive). For example, it is fairly common for a disc drive to routinely suffer from bit level corruption and to completely fail after three years of use. One solution is to a higher-grade disc drive, which adds significant cost to a computer.
• Another solution is to utilize multiple levels of redundant disc drives to replicate the data into two or more copies. One such redundant drive approach is called redundant array of independent discs (RAID). In a RAID device, a RAID controller adds parity data to the original data before storing it across the array. The parity data is calculated from the original data such that the failure of a disc will not result in the loss of the original data. For example, RAID 5 uses three discs to protect data from the failure of a single disc. The parity data, and associated redundancy overhead data, reduces the storage capacity of three independent discs by one third (e.g., n−1=capacity). RAID 6 can recover from a loss of two discs and requires a minimum of four discs with a storage capacity of n−2.
• While RAID addresses the memory device failure issue, it is not without its own failures issues that affect its effectiveness, efficiency and security. For instance, as more discs are added to the array, the probability of a disc failure increases, which increases the demand for maintenance. For example, when a disc fails, it needs to be manually replaced before another disc fails and the data stored in the RAID device is lost. To reduce the risk of data loss, data on a RAID device is typically copied on to one or more other RAID devices. While this addresses the loss of data issue, it raises a security issue since multiple copies of data are available, which increases the chances of unauthorized access. Further, as the amount of data being stored grows, the overhead of RAID devices becomes a non-trivial efficiency issue.
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS
• FIG. 1 is a schematic block diagram of an embodiment of a computing system in accordance with the invention;
• FIG. 2 is a schematic block diagram of an embodiment of a computing core in accordance with the invention;
• FIG. 3 is a schematic block diagram of an embodiment of a distributed storage processing unit in accordance with the invention;
• FIG. 4 is a schematic block diagram of an embodiment of a grid module in accordance with the invention;
• FIG. 5 is a diagram of an example embodiment of error coded data slice creation in accordance with the invention;
• FIG. 6 is a flowchart illustrating the determination of a data revision number;
• FIG. 7 is a flowchart illustrating the retrieving of like revision data;
• FIG. 8 is a flowchart illustrating the storing of data;
• FIG. 9 is another flowchart illustrating the storing of data;
• FIG. 10 is another flowchart illustrating the storing of data;
• FIG. 11 is a flowchart illustrating the deleting of data; and
• FIG. 12 is a flowchart illustrating the retrieving of data
DETAILED DESCRIPTION OF THE INVENTION
• FIG. 1 is a schematic block diagram of acomputing system10 that includes one or more of a first type of user devices12, one or more of a second type of user devices14, at least one distributed storage (DS)processing unit16, at least oneDS managing unit18, at least one storageintegrity processing unit20, and a distributed storage network (DSN)memory22 coupled via anetwork24. Thenetwork24 may include one or more wireless and/or wire lined communication systems; one or more private intranet systems and/or public internet systems; and/or one or more local area networks (LAN) and/or wide area networks (WAN).
• TheDSN memory22 includes a plurality of distributed storage (DS)units36 for storing data of the system. Each of theDS units36 includes a processing module and memory and may be located at a geographically different site than the other DS units (e.g., one in Chicago, one in Milwaukee, etc.). The processing module may be a single processing device or a plurality of processing devices. Such a processing device may be a microprocessor, micro-controller, digital signal processor, microcomputer, central processing unit, field programmable gate array, programmable logic device, state machine, logic circuitry, analog circuitry, digital circuitry, and/or any device that manipulates signals (analog and/or digital) based on hard coding of the circuitry and/or operational instructions. The processing module may have an associated memory and/or memory element, which may be a single memory device, a plurality of memory devices, and/or embedded circuitry of the processing module. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, and/or any device that stores digital information. Note that if the processing module includes more than one processing device, the processing devices may be centrally located (e.g., directly coupled together via a wired and/or wireless bus structure) or may be distributedly located (e.g., cloud computing via indirect coupling via a local area network and/or a wide area network). Further note that when the processing module implements one or more of its functions via a state machine, analog circuitry, digital circuitry, and/or logic circuitry, the memory and/or memory element storing the corresponding operational instructions may be embedded within, or external to, the circuitry comprising the state machine, analog circuitry, digital circuitry, and/or logic circuitry. Still further note that, the memory element stores, and the processing module executes, hard coded and/or operational instructions corresponding to at least some of the steps and/or functions illustrated inFIGS. 1-12.
• Each of the user devices12-14, theDS processing unit16, theDS managing unit18, and the storageintegrity processing unit20 may be a portable computing device (e.g., a social networking device, a gaming device, a cell phone, a smart phone, a personal digital assistant, a digital music player, a digital video player, a laptop computer, a handheld computer, a video game controller, and/or any other portable device that includes a computing core) and/or a fixed computing device (e.g., a personal computer, a computer server, a cable set-top box, a satellite receiver, a television set, a printer, a fax machine, home entertainment equipment, a video game console, and/or any type of home or office computing equipment). Such a portable or fixed computing device includes acomputing core26 and one ormore interfaces30,32, and/or33. An embodiment of thecomputing core26 will be described with reference toFIG. 2.
• With respect to the interfaces, each of theinterfaces30,32, and33 includes software and/or hardware to support one or more communication links via thenetwork24 and/or directly. For example, interfaces30 support a communication link (wired, wireless, direct, via a LAN, via thenetwork24, etc.) between the first type of user device14 and theDS processing unit16. As another example,DSN interface32 supports a plurality of communication links via thenetwork24 between theDSN memory22 and theDS processing unit16, the first type of user device12, and/or the storageintegrity processing unit20. As yet another example,interface33 supports a communication link between theDS managing unit18 and any one of the other devices and/orunits12,14,16,20, and/or22 via thenetwork24.
• In general and with respect to data storage, thesystem10 supports three primary functions: distributed network data storage management, distributed data storage and retrieval, and data storage integrity verification. In accordance with these three primary functions, data can be distributedly stored in a plurality of physically different locations and subsequently retrieved in a reliable and secure manner regardless of failures of individual storage devices, failures of network equipment, the duration of storage, the amount of data being stored, attempts at hacking the data, etc.
• TheDS managing unit18 performs distributed network data storage management functions, which include establishing distributed data storage parameters, performing network operations, performing network administration, and/or performing network maintenance. TheDS managing unit18 establishes the distributed data storage parameters (e.g., allocation of virtual DSN memory space, distributed storage parameters, security parameters, billing information, user profile information, etc.) for one or more of the user devices12-14 (e.g., established for individual devices, established for a user group of devices, established for public access by the user devices, etc.). For example, theDS managing unit18 coordinates the creation of a vault (e.g., a virtual memory block) within theDSN memory22 for a user device (for a group of devices, or for public access). TheDS managing unit18 also determines the distributed data storage parameters for the vault. In particular, theDS managing unit18 determines a number of slices (e.g., the number that a data segment of a data file and/or data block is partitioned into for distributed storage) and a read threshold value (e.g., the minimum number of slices required to reconstruct the data segment).
• As another example, theDS managing module18 creates and stores, locally or within theDSN memory22, user profile information. The user profile information includes one or more of authentication information, permissions, and/or the security parameters. The security parameters may include one or more of encryption/decryption scheme, one or more encryption keys, key generation scheme, and data encoding/decoding scheme.
• As yet another example, theDS managing unit18 creates billing information for a particular user, user group, vault access, public vault access, etc. For instance, theDS managing unit18 tracks the number of times user accesses a private vault and/or public vaults, which can be used to generate a per-access bill. In another instance, theDS managing unit18 tracks the amount of data stored and/or retrieved by a user device and/or a user group, which can be used to generate a per-data-amount bill.
• TheDS managing unit18 also performs network operations, network administration, and/or network maintenance. As at least part of performing the network operations and/or administration, theDS managing unit18 monitors performance of the devices and/or units of thesystem10 for potential failures, determines the devices and/or unit's activation status, determines the devices' and/or units' loading, and any other system level operation that affects the performance level of thesystem10. For example, theDS managing unit18 receives and aggregates network management alarms, alerts, errors, status information, performance information, and messages from the devices12-14 and/or theunits16,20,22. For example, theDS managing unit18 receives a simple network management protocol (SNMP) message regarding the status of theDS processing unit16.
• TheDS managing unit18 performs the network maintenance by identifying equipment within thesystem10 that needs replacing, upgrading, repairing, and/or expanding. For example, theDS managing unit18 determines that theDSN memory22 needsmore DS units36 or that one or more of theDS units36 needs updating.
• The second primary function (i.e., distributed data storage and retrieval) begins and ends with a user device12-14. For instance, if a second type of user device14 has adata file38 and/or data block40 to store in theDSN memory22, it send the data file38 and/or data block40 to theDS processing unit16 via itsinterface30. As will be described in greater detail with reference toFIG. 2, theinterface30 functions to mimic a conventional operating system (OS) file system interface (e.g., network file system (NFS), flash file system (FFS), disk file system (DFS), file transfer protocol (FTP), web-based distributed authoring and versioning (WebDAV), etc.) and/or a block memory interface (e.g., small computer system interface (SCSI), internet small computer system interface (iSCSI), etc.). In addition, theinterface30 may attach a user identification code (ID) to the data file38 and/ordata block40.
• TheDS processing unit16 receives the data file38 and/or data block40 via itsinterface30 and performs a distributed storage (DS)process34 thereon (e.g., an error coding dispersal storage function). TheDS processing34 begins by partitioning the data file38 and/or data block40 into one or more data segments, which is represented as Y data segments. For example, theDS processing34 may partition the data file38 and/or data block40 into a fixed byte size segment (e.g., 2¹to 2ⁿbytes, where n=>2) or a variable byte size (e.g., change byte size from segment to segment, or from groups of segments to groups of segments, etc.).
• For each of the Y data segments, theDS processing34 error encodes (e.g., forward error correction (FEC), information dispersal algorithm, or error correction coding) and slices (or slices then error encodes) the data segment into a plurality of error coded (EC) data slices42-48, which is represented as X slices per data segment. The number of slices (X) per segment, which corresponds to a number of pillars n, is set in accordance with the distributed data storage parameters and the error coding scheme. For example, if a Reed-Solomon (or other FEC scheme) is used in an n/k system, then a data segment is divided into n slices, where k number of slices is needed to reconstruct the original data (i.e., k is the threshold). As a few specific examples, the n/k factor may be 5/3; 6/4; 8/6; 8/5; 16/10.
• For each slice42-48, theDS processing unit16 creates a unique slice name and associates it with, or appends it to, the corresponding slice42-48. The slice name includes universal DSN memory addressing routing information (e.g., virtual memory addresses in the DSN memory22) and user-specific information (e.g., user ID, file name, data block identifier, etc.).
• TheDS processing unit16 transmits the plurality of EC slices42-48 to a plurality ofDS units36 of theDSN memory22 via theDSN interface32 and thenetwork24. TheDSN interface32 formats each of the slices for transmission via thenetwork24. For example, theDSN interface32 may utilize an internet protocol (e.g., TCP/IP, etc.) to packetize the slices42-48 for transmission via thenetwork24.
• The number ofDS units36 receiving the slices42-48 is dependent on the distributed data storage parameters established by theDS managing unit18. For example, theDS managing unit18 may indicate that each slice is to be stored in adifferent DS unit36. As another example, theDS managing unit18 may indicate that like slice numbers of different data segments are to be stored in thesame DS unit36. For example, the first slice of each of the data segments is to be stored in afirst DS unit36, the second slice of each of the data segments is to be stored in asecond DS unit36, etc. In this manner, the data is encoded and distributedly stored at physically diverse locations to improved data storage integrity and security. Further examples of encoding the data segments will be provided with reference to one or more ofFIGS. 2-12.
• EachDS unit36 that receives a slice42-48 for storage translates the virtual DSN memory address of the slice into a local physical address for storage. Accordingly, eachDS unit36 maintains a virtual to physical memory mapping to assist in the storage and retrieval of data.
• The first type of user device12 performs a similar function to store data in theDSN memory22 with the exception that it includes the DS processing. As such, the device12 encodes and slices the data file and/or data block it has to store. The device then transmits theslices11 to the DSN memory via itsDSN interface32 and thenetwork24.
• For a second type of user device14 to retrieve a data file or data block from memory, it issues a read command via itsinterface30 to theDS processing unit16. TheDS processing unit16 performs theDS processing34 to identify theDS units36 storing the slices of the data file and/or data block based on the read command. TheDS processing unit16 may also communicate with theDS managing unit18 to verify that the user device14 is authorized to access the requested data.
• Assuming that the user device is authorized to access the requested data, theDS processing unit16 issues slice read commands to at least a threshold number of theDS units36 storing the requested data (e.g., to at least 10 DS units for a 16/10 error coding scheme). Each of theDS units36 receiving the slice read command, verifies the command, accesses its virtual to physical memory mapping, retrieves the requested slice, or slices, and transmits it to theDS processing unit16.
• Once theDS processing unit16 has received a read threshold number of slices for a data segment, it performs an error decoding function and de-slicing to reconstruct the data segment. When Y number of data segments has been reconstructed, theDS processing unit16 provides the data file38 and/or data block40 to the user device14. Note that the first type of user device12 performs a similar process to retrieve a data file and/or data block.
• The storageintegrity processing unit20 performs the third primary function of data storage integrity verification. In general, the storageintegrity processing unit20 periodically retrievesslices45, and/or slice names, of a data file or data block of a user device to verify that one or more slices have not been corrupted or lost (e.g., the DS unit failed). The retrieval process mimics the read process previously described.
• If the storageintegrity processing unit20 determines that one or more slices is corrupted or lost, it rebuilds the corrupted or lost slice(s) in accordance with the error coding scheme. The storageintegrity processing unit20 stores the rebuild slice, or slices, in the appropriate DS unit(s)36 in a manner that mimics the write process previously described.
• FIG. 2 is a schematic block diagram of an embodiment of acomputing core26 that includes aprocessing module50, amemory controller52,main memory54, a videographics processing unit55, an input/output (IO)controller56, a peripheral component interconnect (PCI)interface58, at least one IOdevice interface module62, a read only memory (ROM) basic input output system (BIOS)64, and one or more memory interface modules. The memory interface module(s) includes one or more of a universal serial bus (USB) interface module66, a host bus adapter (HBA)interface module68, anetwork interface module70, aflash interface module72, a harddrive interface module74, and aDSN interface module76. Note theDSN interface module76 and/or thenetwork interface module70 may function as theinterface30 of the user device14 ofFIG. 1. Further note that the IOdevice interface module62 and/or the memory interface modules may be collectively or individually referred to as IO ports.
• Theprocessing module50 may be a single processing device or a plurality of processing devices. Such a processing device may be a microprocessor, micro-controller, digital signal processor, microcomputer, central processing unit, field programmable gate array, programmable logic device, state machine, logic circuitry, analog circuitry, digital circuitry, and/or any device that manipulates signals (analog and/or digital) based on hard coding of the circuitry and/or operational instructions. Theprocessing module50 may have an associated memory and/or memory element, which may be a single memory device, a plurality of memory devices, and/or embedded circuitry of theprocessing module50. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, and/or any device that stores digital information. Note that if theprocessing module50 includes more than one processing device, the processing devices may be centrally located (e.g., directly coupled together via a wired and/or wireless bus structure) or may be distributedly located (e.g., cloud computing via indirect coupling via a local area network and/or a wide area network). Further note that when theprocessing module50 implements one or more of its functions via a state machine, analog circuitry, digital circuitry, and/or logic circuitry, the memory and/or memory element storing the corresponding operational instructions may be embedded within, or external to, the circuitry comprising the state machine, analog circuitry, digital circuitry, and/or logic circuitry. Still further note that, the memory element stores, and theprocessing module50 executes, hard coded and/or operational instructions corresponding to at least some of the steps and/or functions illustrated inFIGS. 1-12.
• FIG. 3 is a schematic block diagram of an embodiment of a dispersed storage (DS)processing module34 of user device12 and/or of theDS processing unit16. TheDS processing module34 includes agateway module78, anaccess module80, agrid module82, and astorage module84. TheDS processing module34 may also include aninterface30 and theDSnet interface32 or theinterfaces68 and/or70 may be part of user12 or of the DS processing unit14. TheDS processing module34 may further include a bypass/feedback path between thestorage module84 to thegateway module78. Note that the modules78-84 of theDS processing module34 may be in a single unit or distributed across multiple units.
• In an example of storing data, thegateway module78 receives an incoming data object that includes a user ID field86, anobject name field88, and thedata field40 and may also receive corresponding information that includes a process identifier (e.g., an internal process/application ID), metadata, a file system directory, a block number, a transaction message, a user device identity (ID), a data object identifier, a source name, and/or user information. Thegateway module78 authenticates the user associated with the data object by verifying the user ID86 with the managingunit18 and/or another authenticating unit.
• When the user is authenticated, thegateway module78 obtains user information from themanagement unit18, the user device, and/or the other authenticating unit. The user information includes a vault identifier, operational parameters, and user attributes (e.g., user data, billing information, etc.). A vault identifier identifies a vault, which is a virtual memory space that maps to a set ofDS storage units36. For example, vault1 (i.e.,user1's DSN memory space) includes eight DS storage units (X=8 wide) and vault2 (i.e.,user2's DSN memory space) includes sixteen DS storage units (X=16 wide). The operational parameters may include an error coding algorithm, the width n (number of pillars X or slices per segment for this vault), a read threshold T, a write threshold, an encryption algorithm, a slicing parameter, a compression algorithm, an integrity check method, caching settings, parallelism settings, and/or other parameters that may be used to access the DSN memory layer.
• Thegateway module78 uses the user information to assign asource name35 to the data. For instance, thegateway module60 determines thesource name35 of the data object40 based on the vault identifier and the data object. For example, the source name may contain a file identifier (ID), a vault generation number, a reserved field, and a vault identifier (ID). As another example, thegateway module78 may generate the file ID based on a hash function of the data object40. Note that thegateway module78 may also perform message conversion, protocol conversion, electrical conversion, optical conversion, access control, user identification, user information retrieval, traffic monitoring, statistics generation, configuration, management, and/or source name determination.
• Theaccess module80 receives the data object40 and creates a series ofdata segments1 through Y90-92 in accordance with a data storage protocol (e.g., file storage system, a block storage system, and/or an aggregated block storage system). The number of segments Y may be chosen or randomly assigned based on a selected segment size and the size of the data object. For example, if the number of segments is chosen to be a fixed number, then the size of the segments varies as a function of the size of the data object. For instance, if the data object is an image file of 4,194,304 eight bit bytes (e.g., 33,554,432 bits) and the number of segments Y=131,072, then each segment is 256 bits or 32 bytes. As another example, if segment sized is fixed, then the number of segments Y varies based on the size of data object. For instance, if the data object is an image file of 4,194,304 bytes and the fixed size of each segment is 4,096 bytes, the then number of segments Y=1,024. Note that each segment is associated with the same source name.
• Thegrid module82 receives the data segments and may manipulate (e.g., compression, encryption, cyclic redundancy check (CRC), etc.) each of the data segments before performing an error coding function of the error coding dispersal storage function to produce a pre-manipulated data segment. After manipulating a data segment, if applicable, thegrid module82 error encodes (e.g., Reed-Solomon, Convolution encoding, Trellis encoding, etc.) the data segment or manipulated data segment into X error coded data slices42-44.
• The value X, or the number of pillars (e.g., X=16), is chosen as a parameter of the error coding dispersal storage function. Other parameters of the error coding dispersal function include a read threshold T, a write threshold W, etc. The read threshold (e.g., T=10, when X=16) corresponds to the minimum number of error-free error coded data slices required to reconstruct the data segment. In other words, theDS processing module34 can compensate for X−T (e.g., 16−10=6) missing error coded data slices per data segment. The write threshold W corresponds to a minimum number of DS storage units that acknowledge proper storage of their respective data slices before the DS processing module indicates proper storage of the encoded data segment. Note that the write threshold is greater than or equal to the read threshold for a given number of pillars (X).
• For each data slice of a data segment, thegrid module82 generates aunique slice name37 and attaches it thereto. Theslice name37 includes a universal routing information field and a vault specific field and may be 48 bytes (e.g., 24 bytes for each of the universal routing information field and the vault specific field). As illustrated, the universal routing information field includes a slice index, a vault ID, a vault generation, and a reserved field. The slice index is based on the pillar number and the vault ID and, as such, is unique for each pillar (e.g., slices of the same pillar for the same vault for any segment will share the same slice index). The vault specific field includes a data name, which includes a file ID and a segment number (e.g., a sequential numbering of data segments1-Y of a simple data object or a data block number).
• Prior to outputting the error coded data slices of a data segment, the grid module may perform post-slice manipulation on the slices. If enabled, the manipulation includes slice level compression, encryption, CRC, addressing, tagging, and/or other manipulation to improve the effectiveness of the computing system.
• When the error coded data slices of a data segment are ready to be outputted, thegrid module82 determines which of theDS storage units36 will store the EC data slices based on a dispersed storage memory mapping associated with the user's vault and/orDS storage unit36 attributes. The DS storage unit attributes may include availability, self-selection, performance history, link speed, link latency, ownership, available DSN memory, domain, cost, a prioritization scheme, a centralized selection message from another source, a lookup table, data ownership, and/or any other factor to optimize the operation of the computing system. Note that the number ofDS storage units36 is equal to or greater than the number of pillars (e.g., X) so that no more than one error coded data slice of the same data segment is stored on the sameDS storage unit36. Further note that EC data slices of the same pillar number but of different segments (e.g., EC data slice1 ofdata segment1 and EC data slice1 of data segment2) may be stored on the same or differentDS storage units36.
• Thestorage module84 performs an integrity check on the outbound encoded data slices and, when successful, identifies a plurality of DS storage units based on information provided by the grid module. The storage module then outputs the encoded data slices1 through X of eachsegment1 through Y to the DS storage units. Each of theDS storage units36 stores its EC data slice(s) and maintains a local virtual DSN address to physical location table to convert the virtual DSN address of the EC data slice(s) into physical storage addresses.
• In an example of a read operation, the user device12 and/or14 sends a read request to the DS processing unit14, which authenticates the request. When the request is authentic, the DS processing unit14 sends a read message to each of theDS storage units36 storing slices of the data object being read. The slices are received via theDSnet interface32 and processed by thestorage module84, which performs a parity check and provides the slices to thegrid module82 when the parity check was successful. Thegrid module82 decodes the slices in accordance with the error coding dispersal storage function to reconstruct the data segment. Theaccess module80 reconstructs the data object from the data segments and thegateway module78 formats the data object for transmission to the user device.
• FIG. 4 is a schematic block diagram of an embodiment of agrid module82 that includes acontrol unit73, apre-slice manipulator75, anencoder77, aslicer79, apost-slice manipulator81, a pre-slice de-manipulator83, adecoder85, a de-slicer87, and/or a post-slice de-manipulator89. Note that thecontrol unit73 may be partially or completely external to thegrid module82. For example, thecontrol unit73 may be part of the computing core at a remote location, part of a user device, part of theDS managing unit18, or distributed amongst one or more DS storage units.
• In an example of write operation, thepre-slice manipulator75 receives a data segment90-92 and a write instruction from an authorized user device. Thepre-slice manipulator75 determines if pre-manipulation of the data segment90-92 is required and, if so, what type. Thepre-slice manipulator75 may make the determination independently or based on instructions from thecontrol unit73, where the determination is based on a computing system-wide predetermination, a table lookup, vault parameters associated with the user identification, the type of data, security requirements, available DSN memory, performance requirements, and/or other metadata.
• Once a positive determination is made, thepre-slice manipulator75 manipulates the data segment90-92 in accordance with the type of manipulation. For example, the type of manipulation may be compression (e.g., Lempel-Ziv-Welch, Huffman, Golomb, fractal, wavelet, etc.), signatures (e.g., Digital Signature Algorithm (DSA), Elliptic Curve DSA, Secure Hash Algorithm, etc.), watermarking, tagging, encryption (e.g., Data Encryption Standard, Advanced Encryption Standard, etc.), adding metadata (e.g., time/date stamping, user information, file type, etc.), cyclic redundancy check (e.g., CRC32), and/or other data manipulations to produce the pre-manipulated data segment.
• Theencoder77 encodes thepre-manipulated data segment92 using a forward error correction (FEC) encoder (and/or other type of erasure coding and/or error coding) to produce an encodeddata segment94. Theencoder77 determines which forward error correction algorithm to use based on a predetermination associated with the user's vault, a time based algorithm, user direction, DS managing unit direction, control unit direction, as a function of the data type, as a function of thedata segment92 metadata, and/or any other factor to determine algorithm type. The forward error correction algorithm may be Golay, Multidimensional parity, Reed-Solomon, Hamming, Bose Ray Chauduri Hocquenghem (BCH), Cauchy-Reed-Solomon, or any other FEC encoder. Note that theencoder77 may use a different encoding algorithm for eachdata segment92, the same encoding algorithm for thedata segments92 of a data object, or a combination thereof.
• The encodeddata segment94 is of greater size than thedata segment92 by the overhead rate of the encoding algorithm by a factor of X/T, where X is the width or number of slices, and T is the read threshold. In this regard, the corresponding decoding process can accommodate at most X-T missing EC data slices and still recreate thedata segment92. For example, if X=16 and T=10, then thedata segment92 will be recoverable as long as 10 or more EC data slices per segment are not corrupted.
• Theslicer79 transforms the encodeddata segment94 into EC data slices in accordance with the slicing parameter from the vault for this user and/ordata segment92. For example, if the slicing parameter is X=16, then the slicer slices each encodeddata segment94 into 16 encoded slices.
• Thepost-slice manipulator81 performs, if enabled, post-manipulation on the encoded slices to produce the EC data slices. If enabled, thepost-slice manipulator81 determines the type of post-manipulation, which may be based on a computing system-wide predetermination, parameters in the vault for this user, a table lookup, the user identification, the type of data, security requirements, available DSN memory, performance requirements, control unit directed, and/or other metadata. Note that the type of post-slice manipulation may include slice level compression, signatures, encryption, CRC, addressing, watermarking, tagging, adding metadata, and/or other manipulation to improve the effectiveness of the computing system.
• In an example of a read operation, the post-slice de-manipulator89 receives at least a read threshold number of EC data slices and performs the inverse function of thepost-slice manipulator81 to produce a plurality of encoded slices. The de-slicer87 de-slices the encoded slices to produce an encodeddata segment94. Thedecoder85 performs the inverse function of theencoder77 to recapture the data segment90-92. The pre-slice de-manipulator83 performs the inverse function of thepre-slice manipulator75 to recapture the data segment.
• FIG. 5 is a diagram of an example of slicing an encodeddata segment94 by theslicer79. In this example, the encoded data segment includes thirty-two bits, but may include more or less bits. Theslicer79 disperses the bits of the encodeddata segment94 across the EC data slices in a pattern as shown. As such, each EC data slice does not include consecutive bits of thedata segment94 reducing the impact of consecutive bit failures on data recovery. For example, if EC data slice2 (which includesbits1,5,9,13,17,25, and29) is unavailable (e.g., lost, inaccessible, or corrupted), the data segment can be reconstructed from the other EC data slices (e.g., 1, 3 and 4 for a read threshold of 3 and a width of 4).
• FIG. 6 is a flowchart illustrating the determination of a data revision number where the DS processing determines the revision number and appends it to, or associates it with EC data slices being distributedly stored. The DS processing subsequent retrieval of EC data slices verifies that the slices utilized to recreate the data segment have the same appended revision number to improve data consistency and system performance. The retrieval method will be discussed in greater detail with reference toFIG. 7.
• Themethod600 begins with thestep602 where the DS processing creates EC data slices for a data segment in accordance with the operational parameters as previously discussed. As illustrated byblock604, the DS processing determines the revision number for the slices of the data segment based on one or more of a timestamp, a random number, the user vault ID, the user ID, the data object ID, a hash of the data object, and/or a hash of the data object ID. For example, the revision number may be eight bytes and comprise a UNIX time timestamp and a random number (e.g., to provide an improvement of a unique revision number when data is stored at the same time).
• As illustrated byblock606, the DS processing appends the revision number to each pillar slice of the same data segment such that each pillar slice of the same data segment has the same revision number. In an embodiment, the DS processing appends the same revision number to all the slices of all the data segments of the data object. In another embodiment, the DS processing appends the same revision number to all the slices of each data segment but the revision numbers from data segment to data segment of the data object are different.
• As illustrated byblock608, the DS processing determines the DS units to send the slices to in accordance with the virtual DSN address to physical location table for the user vault of the data object.
• As illustrated byblock610, the DS processing sends a write command and slices with the appended revision number to the DS units such that the DS units will store the slices and send a write confirmation message to the DS processing in response. Note that the slices are substantially sent in parallel from the DS processing to the DS units via similar or different portions of the network. Networks are known to fail from time to time thus all of the DS units may not receive the slices. As a result of network failures and other potential issues, the DS units may contain slices with different revision numbers for the same data object and/or data segment.
• The DS processing receives the write confirmation message from the DS units. The DS processing determines a write threshold (e.g., from the user vault, a command, a predetermination) where the write threshold is the minimum number of pillars required to store the unique slices of the same data segment to meet the criteria of a favorable write sequence. The write threshold is less than the pillar width n and greater than the read threshold (discussed previously).
• As illustrated byblocks612 and616, the DS processing determines if the number of received write confirmation messages is equal to or greater than the write threshold. The determination may be based on one or more of comparing the number of received write confirmations to the write threshold, a command, a predetermination, and/or a system performance indicator. The DS processing may continue to keep checking for new write confirmations when the DS processing determines that the number of received write confirmation messages is not equal to or greater than the write threshold. As further illustrated byblock616, the DS processing may fail the write sequence if a predetermined period of time expires before the DS processing determines that the number of received write confirmation messages is equal to or greater than the write threshold.
• As illustrated byblocks614, the DS processing sends a write commit command to the DS units when the DS processing determines that the number of received write confirmation messages is equal to or greater than the write threshold. The DS unit makes the slice visible on subsequent retrievals when the DS unit receives the write commit command for slices the DS unit has write confirmed.
• The DS unit may request the slice be resent from the DS processing when the DS unit receives the write commit command for slices the DS unit has not write confirmed. The DS processing sends the write command and slices with the appended revision number to the DS units such that the DS units will store the slices and send a write confirmation message to the DS processing in response when the DS processing receives the slice request from the DS unit.
• FIG. 7 is a flowchart illustrating the retrieving of like revision data where the DS processing retrieves slices from the DS unit pillars and verifies that the slices have the same appended revision numbers to improve data consistency.
• According tomethod700, atblock702 the DS processing determines the DS units (the pillars) to retrieve slices from in accordance with the virtual DSN address to physical location table for the user vault of the data object. As further illustrated byblock702, the DS processing sends a retrieve command message to the DS units where the message includes the slice name. The DS processing sends the retrieve command to at least a read threshold number of DS units. For example, the DS processing sends the retrieve command to ten DS units in a 16/10 DSN system. In another example, the DS processing sends the retrieve command to twelve DS units in a 16/10 DSN system to provide better performance. The DS processing may create and temporarily save a list of DS units that were sent the retrieve command such that the DS processing may choose different DS units in a subsequent retrieval attempt if the present retrieval attempt fails. DS units send the slice and appended revision number corresponding the slice name to the DS processing when the DS unit receives the retrieval command message.
• As illustrated byblock704, the DS processing receives the slices and appended revision number from the DS units. The DS processing determines the number of received slices by counting them. The DS processing determines the read threshold number for this vault by retrieving the read threshold number form the vault. The DS processing proceeds to the next step when the DS processing determines that at least a read threshold number of slices have been received from the DS units.
• As illustrated byblocks706 and708, the DS processing determines if the appended revision numbers for the slices from each of the DS units are the same by comparing the revision numbers. Note that it is possible for some of the revision numbers to be different (e.g., as a result of a failure of a previous write sequence or some other DS unit failure).
• As illustrated byblock710, the DS processing determines different DS units to send retrieval commands and the DS processing sends the retrieve command to at least a read threshold number of DS units when the appended revision numbers for the slices from each of the current DS units are not the same. The determination may be based on which DS units were already tried (saved previously) and which of those were in a majority where the majority had the same revision number. In such a scenario, the DS processing need only send a retrieval command message to a smaller set of DS units that have not been tried yet. The method branches to the step of the DS processing receiving a read threshold number of slices with appended revision numbers from the DS units.
• As illustrated byblock712, the DS processing de-slices and decodes the slices to produce the data segment when the appended revision numbers for the slices from each of the current DS units are the same.
• FIG. 8 is a flowchart illustrating the storing of data where the DS processing utilizes a transaction process to improve data consistency.
• Themethod800 begins atblock802, where the DS processing receives a data object to store (e.g., from the user device). As illustrated byblock804, the DS processing creates the slices in accordance with the operational parameters and appends revision numbers created as previously discussed with reference toFIG. 6. The DS processing determines the DS units and sends a write command and the slices with the appended revision numbers. The determination may be based on the virtual DSN address to physical location table.
• As further illustrated byblock804, the DS unit sends a write command confirmation message to the DS processing in response to receiving the write command. The DS processing receives the write command confirmation messages, counts them, and determines if a write threshold number of confirmations has been received by comparing the count of received write command confirmation messages to the write threshold. The DS processing sends a write commit command to the DS units where the DS processing received a write command confirmation message. Note that now the newest revision is successfully stored in the DSN.
• In the next steps, the DS processing stores the directory in the DSN memory where the directory links the user root file to the data object to the slice name and revisions. In other words, the directory maps the data object to locations of encoded data slices generated from the data objects. These locations may be virtual DSN addresses, such as a source name or slice name that is further translated, e.g., via a lookup in a virtual DSN address to physical location table, to the DS unit locations, e.g., DS unit identifier.
• As illustrated byblock808, the DS processing determines the current directory (e.g., reading it in the DS processing file system, receiving it from the user device, etc.) and caches it locally in the DS processing. As shown atblock810, the DS processing creates slices for the current directory and sends the slices with the write command and a revision number (e.g., the directory is assigned a revision number) to the DS units associated with the user vault. After caching the current directory, and before sending the directory slices to be stored, a new entry can be added to represent the directory slices. The DS units receive the slices and write command and will process the write sequence as will be discussed in greater with reference toFIG. 9.
• As illustrated byblocks812 and814, the DS processing determines the response from the DS units where the response may be a write failure or a write success (e.g., a write command confirmation). The write failure may result from one or more of the slice names were already write locked (e.g., an active write transaction was already in process), the DS processing determines that the number of write confirmations is below the write threshold, and/or the number of write confirmations with the same revision numbers is below the write threshold.
• As illustrated byblock814, the DS processing branches back to the step of determining the directory when the DS processing determines the response from the DS units is a write failure.
• As illustrated byblock816, the DS processing sends a write commit command to the DS units where the DS processing received successful write confirmations when the DS processing determines the response from the DS units is a write success. Note that this step will activate the revision of the current directory.
• FIG. 9 is another flowchart illustrating the storing of data where the DS unit processes write transactions in accordance with a transaction process to improve the consistency of stored data.
• Themethod900 begins atblock902, where the DS unit receives a write command, slice name, revision number, and slice for storage. The DS unit may determine if this slice name is already in a write locked state (e.g., in an active write sequence) by a lookup. The DS unit may send a write lock failure message to the DS processing when the DS unit determines that this slice name is already in a write locked state.
• As illustrated byblock904, the DS unit may invoke write lock (e.g., write in a local table for this slice name) for this slice name when the DS unit determines that this slice name is not already in a write locked state.
• As illustrated byblock906, the DS unit stores the slice and revision and sends a write confirmation command message to the DS processing where the message includes the write confirmation, the slice name, and the revision.
• As illustrated byblock908, the DS unit starts a rollback timer where the time value may be determined by the DS unit based on a predetermined value (e.g., a lookup) or a variable value based in part on a system performance indicator. For example, a longer rollback timer may be determined when the system performance indicator indicates that the system is busier than the average.
• As illustrated byblock910, the DS unit determines if the write commit command has been received from the DS processing when the rollback timer is active. As illustrated byblock912, the DS unit removes the write lock and makes the slice visible in subsequent retrievals when the DS unit determines that a receive commit was received while the rollback timer is active.
• As illustrated byblock914, the DS unit determines if the rollback timer has expired when the DS unit determines that a receive commit has not been received while the rollback timer is active. The DS unit branches back to the step of determining if a write commit command has been received when the DS unit determines that the rollback timer has not expired.
• As illustrated byblock916, the DS unit rolls back the version to the previous slice version (e.g., subsequent retrievals will provide the last version, not the current version), removes the write lock for this slice name, and may delete the current version when the DS unit determines that the rollback timer has expired.
• Generally, after a write the DS unit may either commit or rollback. A rollback may be implemented in response to a rollback request, or in response to a failure to receive a commit command. Both a commit and a rollback result in the write lock for the slice being removed. In other embodiments, the same behavior as receiving a rollback request, can be implemented using an inactivity timer. In various embodiments, rolling back a request does not necessarily restore a slice to its previous version, because in general the state of the latest slice is changed using a commit procedure. Instead any temporary memory used for holding an uncommitted slice is freed. Also, when a slice is committed, any previous revisions for that slice continue to exist.
• FIG. 10 is another flowchart illustrating the storing of data where the DS unit stores a revision.
• Themethod1000 begins atblock1002, with the DS unit receiving a write command, slice name, slice, and revision from the DS processing. As illustrated byblock1004, the DS unit determines a local timestamp where in an embodiment the timestamp may be a UNIX time timestamp.
• As illustrated byblock1006, the DS unit stores the slice, revision, and timestamp. Note that the DS unit may not delete previous revisions of slices of the same data object such that the data object may be subsequently retrieved from previous revisions based in part on the timestamp.
• FIG. 11 is a flowchart illustrating the deleting of data where the DS unit processes a delete sequence for a revision.
• Themethod1100 begins atblock1102 with the DS unit receiving a delete command, slice name, and revision from the DS processing. In various embodiments, delete commands may not be used; instead a write command is used to cause the DS unit to “write” a delete marker. As illustrated atblock1104, the DS unit determines a local timestamp where in an embodiment the timestamp may be a UNIX time timestamp.
• As illustrated asblock1106, the DS unit appends the timestamp and a delete marker to the slice. Note that the DS unit may not delete the slice in favor of marking when the delete command was received. In another embodiment, the DS unit deletes selective slices to free up memory while preserving at least a read threshold number of slices per data such that the data object may be subsequently retrieved from previous revisions based in part on the timestamp.
• FIG. 12 is a flowchart illustrating the retrieving of data where the DS unit retrieves a particular revision of a data segment (e.g., of a data object) based in part on the timestamp. In other words, the DS unit will retrieve sluices of a snapshot of the data object.
• Themethod1200 begins atblock1202 with the DS unit receiving a read command, slice name, and timeframe from a requester (e.g., the DS processing unit, the DS managing unit, the storage integrity processing unit, or the user device). Note that the timeframe may or may not be exactly aligned with timestamps associated with previous revisions. As illustrated byblock1204, the DS unit determines which local timestamp is closest to the timeframe based on a comparison of timestamps to the timeframe.
• As illustrated byblock1206, the DS unit determines the slice for the timestamp based on a lookup. Note that this slice revision represents the snapshot closest to the received timeframe. As illustrated atblock1208, the DS unit retrieves the slice and revision and sends the slice and revision to the requester.
• In some embodiments, a read request returns all available revisions, rather than a specific version or versions associated with a specific time frame. When all revisions are returned in response to a read request, the DS processing unit can determine the best way to handle the various revisions received.
• As may be used herein, the terms “substantially” and “approximately” provides an industry-accepted tolerance for its corresponding term and/or relativity between items. Such an industry-accepted tolerance ranges from less than one percent to fifty percent and corresponds to, but is not limited to, component values, integrated circuit process variations, temperature variations, rise and fall times, and/or thermal noise. Such relativity between items ranges from a difference of a few percent to magnitude differences. As may also be used herein, the term(s) “coupled to” and/or “coupling” and/or includes direct coupling between items and/or indirect coupling between items via an intervening item (e.g., an item includes, but is not limited to, a component, an element, a circuit, and/or a module) where, for indirect coupling, the intervening item does not modify the information of a signal but may adjust its current level, voltage level, and/or power level. As may further be used herein, inferred coupling (i.e., where one element is coupled to another element by inference) includes direct and indirect coupling between two items in the same manner as “coupled to”. As may even further be used herein, the term “operable to” indicates that an item includes one or more of power connections, input(s), output(s), etc., to perform one or more its corresponding functions and may further include inferred coupling to one or more other items. As may still further be used herein, the term “associated with”, includes direct and/or indirect coupling of separate items and/or one item being embedded within another item. As may be used herein, the term “compares favorably”, indicates that a comparison between two or more items, signals, etc., provides a desired relationship. For example, when the desired relationship is thatsignal1 has a greater magnitude thansignal2, a favorable comparison may be achieved when the magnitude ofsignal1 is greater than that ofsignal2 or when the magnitude ofsignal2 is less than that ofsignal1.
• The present invention has also been described above with the aid of method steps illustrating the performance of specified functions and relationships thereof. The boundaries and sequence of these functional building blocks and method steps have been arbitrarily defined herein for convenience of description. Alternate boundaries and sequences can be defined so long as the specified functions and relationships are appropriately performed. Any such alternate boundaries or sequences are thus within the scope and spirit of the claimed invention.
• The present invention has been described above with the aid of functional building blocks illustrating the performance of certain significant functions. The boundaries of these functional building blocks have been arbitrarily defined for convenience of description. Alternate boundaries could be defined as long as the certain significant functions are appropriately performed. Similarly, flow diagram blocks may also have been arbitrarily defined herein to illustrate certain significant functionality. To the extent used, the flow diagram block boundaries and sequence could have been defined otherwise and still perform the certain significant functionality. Such alternate definitions of both functional building blocks and flow diagram blocks and sequences are thus within the scope and spirit of the claimed invention. One of average skill in the art will also recognize that the functional building blocks, and other illustrative blocks, modules and components herein, can be implemented as illustrated or by discrete components, application specific integrated circuits, processors executing appropriate software and the like or any combination thereof.

Claims (23)

What is claimed is:

1. A method comprising:

generating a plurality of encoded data slices, each of the plurality of encoded data slices including different encoded versions of a data portion, the different encoded versions encoded to prevent reconstruction of the data portion from a single encoded data slice but allow reconstruction of the data portion using at least a threshold number of encoded data slices;

determining revision numbers associated with respective data slices of the plurality of encoded data slices;

associating revision numbers with each of the plurality of encoded data slices; and

transmitting at least a write threshold number of the plurality of encoded data slices and associated revision numbers to be stored in distributed storage units included in a distributed storage network.

2. The method ofclaim 1, further comprising:

determining selected distributed storage units of a plurality of distributed storage units to which each of the plurality of encoded data slices is to be transmitted.

3. The method ofclaim 2, further comprising:

transmitting write commands associated with the plurality of encoded data slices to the selected distributed storage units; and

determining if write confirmations are received from at least a write threshold number of the selected distributed storage units.

4. The method ofclaim 3, further comprising:

sending a write commit command to the selected distributed storage units in response to receiving the write confirmations from at least a write threshold number of distributed storage units.

5. The method ofclaim 4, further comprising:

determining a current directory mapping data objects to locations of encoded data slices generated from the data objects, wherein the current directory reflects write confirmations associated with storage of the plurality of encoded data slices;

caching an instance of the current directory;

generating a plurality of encoded cache slices from the cached instance of the current directory; and

transmitting at least a write threshold number of the plurality of the encoded cache slices to selected distributed storage units.

6. The method ofclaim 5, further comprising:

determining whether at least a threshold number of write confirmations associated with the encoded cache slices have been received;

in response to a favorable determination, sending a write commit command to the selected distributed storage units; and

in response to an unfavorable determination, retransmitting at least some of the encoded cache slices to different selected storage units.

7. The method ofclaim 1, further comprising:

determining the revision numbers based on at least one of a timestamp, a random number, a user vault identifier, a user identifier, a data object identifier, a hash of the data object, and a hash of the data object identifier.

8. The method ofclaim 1, further comprising:

transmitting the at least a write threshold number of the plurality of encoded data slices to be stored in a plurality of different pillars; and

associating a same revision number with each of the plurality of encoded data slices included in a same pillar.

9. The method ofclaim 1, further comprising:

associating different revision numbers with different encoded data slices associated with a same data object.

10. A method comprising:

determining target distributed storage units from which to retrieve encoded data slices including a revision number, each of the encoded data slices generated from a common data portion and encoded to prevent reconstruction of the common data portion from a single encoded data slice, but to allow reconstruction of the common data portion using at least a threshold number of encoded data slices;

receiving at least a read threshold number of the encoded data slices in response to sending a retrieve command to the target distributed storage units;

determining if the revision numbers included in the at least a threshold number of encoded data slices match each other; and

in response to a favorable match, decoding the at least a read threshold number of encoded data slices to recover the common data portion.

11. The method ofclaim 10, further comprising:

in response to an at least partially unfavorable match, determining at least one different distributed storage unit from which to request encoded data slices.

12. The method ofclaim 11, further comprising:

determining the at least one different distributed storage unit based, at least in part, on which of the target distributed storage units provided encoded data slices with matching revision numbers.

13. The method ofclaim 10, further comprising:

sending a retrieve command to a number of the target distributed storage units at least as great as a read threshold number, but less than a total number of encoded data slices generated from a common data portion.

14. A distributed storage processing unit comprising:

a grid module to generate a plurality of encoded data slices, each of the plurality of encoded data slices including different encoded versions of a data portion, the different encoded versions encoded to prevent reconstruction of the data portion from a single encoded data slice but allow reconstruction of the data portion using at least a threshold number of encoded data slices;

a processor to determine revision numbers associated with respective data slices of the plurality of encoded data slices, and associate the revision numbers with each of the plurality of encoded data slices; and

an interface to transmit at least a write threshold number of the plurality of encoded data slices to be stored in distributed storage units included in a distributed storage network.

15. The distributed storage processing unit ofclaim 14, further comprising:

the processor further to determine selected distributed storage units of a plurality of distributed storage units to which each of the plurality of encoded data slices is to be transmitted;

the interface further to transmit write commands command associated with the plurality of encoded data slices to the selected distributed storage units; and

16. The distributed storage processing unit ofclaim 15, further comprising:

the processor further to determine if write confirmations are received from at least a write threshold number of the selected distributed storage units; and

the interface further to send a write commit command to the selected distributed storage units in response to receiving the write confirmations from at least a write threshold number of distributed storage units.

17. The distributed storage processing unit ofclaim 16, further comprising:

determining a current directory mapping data objects to locations of encoded data slices generated from the data objects, wherein the current directory reflects write confirmations associated with storage of the plurality of encoded data slices;

caching an instance of the current directory;

generating a plurality of encoded cache slices from the cached instance of the current directory; and

transmitting at least a write threshold number of the plurality of the encoded cache slices to particular distributed storage units.

18. The distributed storage processing unit ofclaim 17, further comprising:

determining whether at least a threshold number of write confirmations associated with the encoded cache slices have been received;

in response to a favorable determination, sending a write commit command to the particular distributed storage units; and

in response to an unfavorable determination, retransmitting at least some of the encoded cache slices to different particular storage units.

19. A distributed storage processing unit comprising:

a processor to determine target distributed storage units from which to retrieve encoded data slices including a revision number, each of the encoded data slices generated from a common data portion and encoded to prevent reconstruction of the common data portion from a single encoded data slice, but to allow reconstruction of the common data portion using at least a threshold number of encoded data slices;

an interface to receive at least a read threshold number of the encoded data slices in response to sending a retrieve command to the target distributed storage units;

the processor further to determine if the revision numbers included in the at least a threshold number of encoded data slices match each other; and

a grid module to decode the at least a read threshold number of encoded data slices to recover the common data portion in response to a favorable match.

20. The distributed storage processing unit ofclaim 19, further comprising:

the processor further to determine at least one different distributed storage unit from which to request encoded data slices, in response to an at least partially unfavorable match.

21. The distributed storage processing unit ofclaim 20, further comprising:

the processor further to determine the at least one different distributed storage unit based, at least in part, on which of the target distributed storage units provided encoded data slices with matching revision numbers.

22. The distributed storage processing unit ofclaim 19, further comprising:

the processor further to send a retrieve command to a number of the target distributed storage units at least as great as a read threshold number, but less than a total number of encoded data slices generated from a common data portion.

23. The distributed storage processing unit ofclaim 19, further comprising

the processor further to reconstruct the common data portion from encoded data slices having an earlier revision number in response to the interface failing to receive a read threshold number of a current revision number of encoded data slices.

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