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Diskless node

From Wikipedia, the free encyclopedia
Computer workstation operated without disk drives
A Sun-2/50 diskless workstation fromSun-2 series

Adiskless node (ordiskless workstation) is aworkstation or personal computer withoutdisk drives, which employsnetwork booting to load itsoperating system from aserver. (A computer may also be said toact as a diskless node, if its disks are unused and network booting is used.)

Diskless nodes (or computers acting as such) are sometimes known asnetwork computers orhybrid clients.Hybrid client may either just mean diskless node, or it may be used in a more particular sense to mean a diskless node which runssome, but not all,applications remotely, as in thethin client computing architecture.

Advantages of diskless nodes can include lower production cost, lower running costs, quieter operation, and manageability advantages (for example, centrally managed software installation).

In many universities and in some large organizations,PCs are used in a similar configuration, with some or all applications stored remotely butexecuted locally—again, for manageability reasons. However, these are not diskless nodes if they stillboot from a localhard drive.

Distinction between diskless nodes and centralized computing

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Diskless nodes processdata, thus using their ownCPU andRAM to runsoftware, but do not store data persistently—that task is handed off to a server. This is distinct fromthin clients, in which all significant processing happens remotely, on the server—the only software that runs on a thin client is the "thin" (i.e. relatively small and simple) client software, which handles simple input/output tasks to communicate with the user, such as drawing adialog box on thedisplay or waiting for user input.

A collective term encompassing both thin client computing, and its technological predecessor,text terminals (which are text-only), iscentralized computing.Thin clients and text terminals can both require powerful central processing facilities in the servers, in order to perform all significant processing tasks for all of the clients.

Diskless nodes can be seen as a compromise betweenrich clients (such as ordinary personal computers) and centralized computing, using central storage for efficiency, but not requiring centralized processing, and making efficient use of the powerful processing power of even the slowest of contemporary CPUs, which would tend to sit idle for much of the time under the centralized computing model.

Centralized computing
orThin client
Diskless nodeDataless node[1]Rich client
Localhard drives used for dataNoNoNoYes
Localhard drives used for OSNoNoYesYes
Local general-purpose processing usedNoYesYesYes

Principles of operation

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The operating system (OS) for a diskless node is loaded from a server, usingnetwork booting. In some cases, removable storage may be used to initiate the bootstrap process, such as aUSB flash drive, or other bootable media such as afloppy disk, CD or DVD. However, thefirmware in many modern computers can be configured to locate a server and begin the bootup process automatically, without the need to insert bootable media.

TheCarry-I book-size LAN station was an early diskless system based on anIntel 80286 processor and produced by Taiwan'sFlytech Technology circa 1991.

For network auto-booting, thePreboot Execution Environment (PXE) orBootstrap Protocol (BOOTP) network protocols are commonly used to find a server with files for booting the device. Standard full-size desktop PCs are able to be network-booted in this manner with an add-on network card that includes aUniversal Network Device Interface boot ROM. Diskless network booting is commonly a built-in feature of desktop and laptop PCs intended for business use, since it can be used on an otherwise disk-booted standard desktop computer to remotely run diagnostics, to install software, or to apply adisk image to the local hard drive.

After the bootstrapping process has been initiated, as described above, bootstrapping will take place according to one of three main approaches.

  • In the first approach (used, for example, by theLinux Terminal Server Project), thekernel is loaded into memory and then the rest of the operating system is accessed via anetwork filesystem connection to the server. (A smallRAM disk may be created to store temporary files locally.) This approach is sometimes called the "NFS root" technique when used with Linux or Unix client operating systems.
  • In the second approach, the kernel of the OS is loaded, and part of the system's memory is configured as a large RAM disk, and then the remainder of the OS image is fetched and loaded into the RAM disk. This is the implementation thatMicrosoft has chosen for itsWindows XP Embedded remote boot feature.[2]
  • In the third approach, disk operations are virtualized and are actually translated into a network protocol. The data that is usually stored in a disk drive are then stored in virtual disks files homed on a server. The disk operations such as requests to read/write disk sectors are translated into corresponding network requests and processed by a service or daemon running on the server side. This is the implementation that is used byNeoware Image Manager, Ardence, VHD Central Management System[3] and various "boot over iSCSI" products. This third approach differs from the first approach because what is remote is not afile system but actually a disk device (orraw device) and that the client OS is not aware that it is not running off a hard disk. This is why this approach is sometimes named "Virtual Hard Disk" or "Network Virtual Disk".

This third approach makes it easier to use client OS than having a complete disk image in RAM or using a read-only file system. In this approach, the system uses some "write cache" that stores every data that a diskless node has written. This write cache is usually a file, stored on a server (or on the client storage if any). It can also be a portion of the client RAM. This write cache can be persistent or volatile. When volatile, all the data that has been written by a specific client to the virtual disk are dismissed when said client is rebooted, and yet, user data can remain persistent if recorded in user (roaming) profiles or home folders (that are stored on remote servers). The two major commercial products (the one fromHewlett-Packard, and the other one fromCitrix Systems) that allow the deployment of Diskless Nodes that can bootMicrosoft Windows orLinux client OS use such write caches. The Citrix product cannot use persistent write cache, but VHD and HP product can.

Diskless Windows nodes

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Windows 3.x and Windows 95 OSR1[4] supported Remote Boot operations, fromNetWare servers,[5][failed verification]Windows NT Servers[6] and even DECPathworks servers.[7]

Third party software vendors such as Qualystem (acquired byNeoware), LanWorks (acquired by3Com), Ardence (acquired byCitrix Systems), APCT[8] and Xtreamining Technology[3] have developed and marketed software products aimed to remote-boot newer versions of theWindows product line: Windows 95 OSR2 and Windows 98 were supported by Qualystem and Lanworks, Windows NT was supported by APCT and Ardence (called VenturCom at that time), and Windows 2000/XP/2003/Vista/Windows 7 are supported byHewlett-Packard (which acquiredNeoware which had previously acquired Qualystem) and Citrix Systems (which acquiredArdence).

Comparison with rich clients

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Software installation and maintenance

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With essentially a single OS image for an array of machines (with perhaps some customizations for differences in hardware configurations among the nodes), installing software and maintaining installed software can be more efficient. Furthermore, anysystem changes made during operation (due to user action, worms, viruses, etc.) can be either wiped out when the power is removed (if the image is copied to a local RAM disk) such as Windows XP Embedded remote boot[9][10] or prohibited entirely (if the image is a network filesystem). This allows use in public access areas (such aslibraries) or in schools etc., where users might wish to experiment or attempt to "hack" the system.

However, it is not necessary to implement network booting to achieve either of the above advantages - ordinaryPCs (with the help of appropriate software) can be configured to download and reinstall their operating systems on (e.g.) a nightly basis, with extra work compared to using shared disk image that diskless nodes boot off.

Modern diskless nodes can share the very same disk image, using a 1:N relationship (1 disk image used simultaneously by N diskless nodes). This makes it very easy to install and maintain software applications: The administrator needs to install or maintain the application only once, and the clients can get the new application as soon as they boot off the updated image. Disk image sharing is made possible because they use the write cache: No client competes for any writing in a shared disk image, because each client writes to its own cache.

All the modern diskless nodes systems can also use a 1:1 Client-to-DiskImage relationship, where one client "owns" one disk image and writes directly into said disk image. No write cache is used then.

Making a modification in a shared disk image is usually made this way:

  1. The administrator makes a copy of the shared disk image that he/she wants to update (this can be done easily because the disk image file is opened only for reading)
  2. The administrator boots a diskless node in 1:1 mode (unshared mode) from the copy of the disk image he/she just made
  3. The administrator makes any modification to the disk image (for instance install a new software application, apply patches or hotfixes)
  4. The administrator shutdowns the diskless node that was using the disk image in 1:1 mode
  5. The administrator shares the modified disk image
  6. The diskless nodes use the shared disk image (1:N) as soon as they are rebooted.

Centralized storage

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The use of central disk storage also makes more efficient use of disk storage. This can cut storage costs, freeing up capital toinvest in more reliable, modern storage technologies, such asRAID arrays which support redundant operation, andstorage area networks which allow hot-adding of storage without any interruption. Further, it means that losses of disk drives to mechanical or electrical failure—which are statistically highly probable events over a timeframe of years, with a large number of disks involved—are often both less likely to happen (because there are typically fewer disk drives that can fail) and less likely to cause interruption (because they would likely be part of RAID arrays). This also means that the nodesthemselves are less likely to have hardware failures thanrich clients.

Diskless nodes share these advantages withthin clients.

Performance of centralized storage

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However, this storage efficiency can come at a price. As often happens in computing, increased storage efficiency sometimes comes at the price of decreased performance.

Large numbers of nodes making demands on the same server simultaneously can slow down everyone's experience. However, this can be mitigated by installing large amounts ofRAM on the server (which speeds up read operations by improvingcaching performance), by adding more servers (which distributes the I/O workload), or by adding more disks to a RAID array (which distributes thephysical I/O workload). In any case this is also a problem which can affectany client-server network to some extent, since, of course, rich clients also use servers to store user data.

Indeed, user data may be much more significant in size and may be accessed far more frequently than operating systems and programs in some environments, so moving to a diskless model will notnecessarily cause a noticeable degradation in performance.

Greaternetwork bandwidth (i.e. capacity) will also be used in a diskless model, compared to a rich client model. This does not necessarily mean that a higher capacity network infrastructure will need to be installed—it could simply mean that a higher proportion of the existing network capacity will be used.

Finally, the combination of network data transferlatencies (physically transferring the data over the network) and contention latencies (waiting for the server to process other nodes' requests before yours) can lead to an unacceptable degradation in performance compared to using local drives, depending on the nature of the application and the capacity of the network infrastructure and the server.

Other advantages

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Another example of a situation where a diskless node would be useful is in a possibly hazardous environment where computers are likely to be damaged or destroyed, thus making the need for inexpensive nodes, and minimal hardware a benefit. Again, thin clients can also be used here.

Diskless machines may also consume little power and make little noise, which implies potentialenvironmental benefits and makes them ideal for somecomputer cluster applications.

Comparison with thin clients

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Both thin client and diskless node architectures employ diskless clients which have advantages over rich clients (see above), but differ with regard to the location of processing.

Advantages of diskless nodes over thin clients

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  • Distributed load Theprocessing load of diskless nodes is distributed. Each user gets its own processing isolated environment, barely affecting other users in the network, as long as their workload is not filesystem-intensive. Thin clients rely on the central server for the processing and thus require a fast server. When the central server is busy and slow, both kinds of clients will be affected, but thin clients will be slowed completely, whereas diskless nodes will only be slowed when accessing data on the server.
  • Better multimedia performance. Diskless nodes have advantages over thin clients inmultimedia-rich applications that would be bandwidth intensive if fully served. For example, diskless nodes are well suited forvideo gaming because the rendering is local, lowering the latency.
  • Peripheral support Diskless nodes are typically ordinary personal computers orworkstations with no hard drives supplied, which means the usual large variety ofperipherals can be added. By contrast, thin clients are typically very small, sealed boxes with no possibility for internal expansion, and limited or non-existent possibility for external expansion. Even if e.g. aUSB device can bephysically attached to a thin client, the thin client software might not support peripherals beyond the basic input and output devices - for example, it may not be compatible withgraphics tablets,digital cameras orscanners.

Advantages of thin clients over diskless nodes

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  • Thehardware is cheaper on thin clients, since processing requirements on the client are minimal, and3D acceleration and elaborate audio support are not usually provided. Of course, a diskless node can also be purchased with a cheap CPU and minimal multimedia support, if suitable. Thus, cost savings may be smaller than they first appear for some organizations. However, many large organizations habitually buy hardware with a higher than necessary specification to meet the needs of particular applications and uses, or to ensurefuture proofing(see next point). There are also less "rational" reasons for overspecifying hardware which quite often come into play: departments wastefully using up budgets in order to retain their current budget levels for next year; and uncertainty about the future, or lack of technical knowledge, or lack of care and attention, when choosing PC specifications. Taking all these factors into account, thin clients may bring the most substantial savings, as only the servers are likely to be substantially "gold-plated" and/or "future-proofed" in the thin client model.
  • Future proofing is not much of an issue for thin clients, which are likely to remain useful for the entirety of their replacement cycle - one to four years, or even longer - as the burden is on the servers. There are issues when it comes to diskless nodes, as the processing load is potentially much higher, thus meaning more consideration is required when purchasing. Thin client networks may require significantly more powerful servers in the future, whereas a diskless nodes network may in future need a server upgrade, a client upgrade, or both.
  • Thin client networks haveless network bandwidth consumption potentially, since much data is simply read by the server and processed there, and only transferred to the client in small pieces, as and when needed for display. Also, transferring graphical data to the display is usually more suited for efficientdata compression and optimisation technologies (see e.g.NX technology) than transferring arbitraryprograms, or user data. In many typical application scenarios, both total bandwidth consumption and "burst" consumption would be expected to be less for an efficient thin client, than for a diskless node.

See also

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Notes

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  1. ^Mike Eisler; Ricardo Labiaga; Hal Stern (July 1, 2001).Managing NFS and NIS. O'Reilly Media, Inc. p. 166.
  2. ^"Remote Boot Feature Overview".Windows Embedded Developer Center. Archived fromthe original on 2008-04-23.
  3. ^ab"VHD Central Management System".Xtreaming Technology Inc. Archived fromthe original on 2014-03-23. Retrieved2014-03-22.
  4. ^"Windows 95: Server-Based Setup for Windows 95".Microsoft TechNet. Archived fromthe original on 2006-11-24.
  5. ^"HP Networking: switches, routers, wired, wireless, HP TippingPoint Security – HP®". h17007.www1.hp.com. Archived fromthe original on 22 March 2014. Retrieved22 March 2014.
  6. ^"Explanation of How Windows NT Server 4.0 Remoteboot Works". support.microsoft.com. Archived fromthe original on 2014-03-23. Retrieved2014-03-22.
  7. ^"DEC Pathworks Remote Boot Workstations Under Windows 3.1". support.microsoft.com. Archived fromthe original on 2014-03-23. Retrieved2014-03-22.
  8. ^"AbsolutBoot".APCT - Advanced PC Technologies. Archived fromthe original on 2001-02-22.
  9. ^Chamberlain, Mark (February 2004)."Deploying Windows XP Embedded Remote Boot".Microsoft Learn.
  10. ^Syed, Saad (November 2002)."RAM Boot Using SDI in Windows XP Embedded with Service Pack 1".Microsoft Learn.

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