Indistributed computing, asingle system image (SSI) cluster is acluster of machines that appears to be one single system.^[1][2][3] The concept is often considered synonymous with that of adistributed operating system,^[4][5] but a single image may be presented for more limited purposes, justjob scheduling for instance, which may be achieved by means of an additional layer of software over conventionaloperating system images running on eachnode.^[6] The interest in SSI clusters is based on the perception that they may be simpler to use and administer than more specialized clusters.

Different SSI systems may provide a more or less completeillusion of a single system.

Different SSI systems may, depending on their intended usage, provide some subset of these features.

Many SSI systems provideprocess migration.^[7]Processes may start on onenode and be moved to another node, possibly forresource balancing or administrative reasons.^{[note 1]} As processes are moved from one node to another, other associated resources (for exampleIPC resources) may be moved with them.

Some SSI systems allowcheckpointing of running processes, allowing their current state to be saved and reloaded at a later date.^{[note 2]}Checkpointing can be seen as related to migration, as migrating a process from one node to another can be implemented by first checkpointing the process, then restarting it on another node. Alternatively checkpointing can be considered asmigration to disk.

Some SSI systems provide the illusion that all processes are running on the same machine - the process management tools (e.g. "ps", "kill" onUnix like systems) operate on all processes in the cluster.

Most SSI systems provide a single view of the file system. This may be achieved by a simpleNFS server, shared disk devices or even file replication.

The advantage of a single root view is that processes may be run on any available node and access needed files with no special precautions. If the cluster implements process migration a single root view enables direct accesses to the files from the node where the process is currently running.

Some SSI systems provide a way of "breaking the illusion", having some node-specific files even in a single root.HPTruCluster provides a "context dependent symbolic link" (CDSL) which points to different files depending on the node that accesses it.HPVMScluster provides a search list logical name with node specific files occluding cluster shared files where necessary. This capability may be necessary to deal withheterogeneous clusters, where not all nodes have the same configuration. In more complex configurations such as multiple nodes of multiple architectures over multiple sites, several local disks may combine to form the logical single root.

Some SSI systems allow all nodes to access the I/O devices (e.g. tapes, disks, serial lines and so on) of other nodes. There may be some restrictions on the kinds of accesses allowed (For example,OpenSSI can't mount disk devices from one node on another node).

Some SSI systems allow processes on different nodes to communicate usinginter-process communications mechanisms as if they were running on the same machine. On some SSI systems this can even includeshared memory (can be emulated in software withdistributed shared memory).

In most cases inter-node IPC will be slower than IPC on the same machine, possibly drastically slower for shared memory. Some SSI clusters include special hardware to reduce this slowdown.

Some SSI systems provide a "cluster IP address", a single address visible from outside the cluster that can be used to contact the cluster as if it were one machine. This can be used for load balancing inbound calls to the cluster, directing them to lightly loaded nodes, or for redundancy, moving the cluster address from one machine to another as nodes join or leave the cluster.^{[note 3]}

Examples here vary from commercial platforms with scaling capabilities, to packages/frameworks for creating distributed systems, as well as those that actually implement a single system image.

• Diskless shared-root cluster
• Distributed lock manager
• Distributed cache
• Parallel Virtual Machine - multiple system image alternative
• Message Passing Interface - multiple system image alternative

• Cluster computing

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