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.
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
Dig Deeper on NAS devices
Related Q&A from Eric Slack
With increasingly demanding workloads, NAS systems can have a hard time keeping up. Can using NAS with an object storage option relieve some of these... Continue Reading
Erasure coding is an effective tool for correcting errors in data systems, but when used with object storage systems, latency issues can arise. Continue Reading
While scale-out storage has its benefits, object storage is becoming a more popular option. Learn about cloud object storage advantages in this ... Continue Reading
Have a question for an expert?
Please add a title for your question
Get answers from a TechTarget expert on whatever's puzzling you.