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For enterprise data storage, clustering usually requires a shared storage system, such as a storage-area network (SAN). A mechanism to duplicate the data in the storage system that's directly attached to each node can also be used.
Common storage clustering applications provide failover capabilities for critical processes and enable load balancing for high-performance processes.
A distributed computing system consists of nodes that have processing power and memory to support that processing. A distributed system architecture is typically used to break a larger processing job into sub-processes that each node can handle simultaneously to shorten the job.
A mainframe system is a single-node compute system. Mainframe systems were originally designed with a single processing engine, but also have multiple processors that can operate somewhat independently.
To learn more about clustered storage:
- Take a crash course on clustered storage
- Learn how network-attached storage (NAS) can be made easier with clustered NAS
- Discover the differences between virtualization and clustering
BIO: Eric Slack is an analyst at Storage Switzerland
This was first published in May 2010
Storage Management Strategies for the CIO

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