Jump to content

Draft:Storage Cluster

From Wikipedia, the free encyclopedia
This is an old revision of this page, as edited by JulienMax (talk | contribs) at 06:22, 14 May 2025 (Submitting using AfC-submit-wizard). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.



A storage cluster aggregates the storage space in multiple storage devices into a storage pool that can provide a unified access interface and management interface to the application server. Applications can transparently access and utilize the disks on all storage devices through this access interface, making the best use of the performance and disk utilization of the storage devices. Data will be stored and read from multiple storage devices according to certain rules to achieve higher concurrent access performance.[1]

Compared with centralized storage, storage clusters can be built using general-purpose servers, with lower initial and expansion costs, but this also increases the complexity of error handling, because hardware errors in the cluster are not transparent to the upper-layer software.[2]Therefore, the key indicator of a storage cluster is high availability. Storage clusters that support online systems and perform critical tasks usually require their availability to reach the five nines standard (99.999%).[3]Typically, storage clusters use high-availability software to manage each node. When a node fails, the storage cluster will automatically distribute the tasks of this node to other nodes to ensure business continuity.[4]




References

  1. ^ 陈维雄 (2009-03-08). "集群存储概念及部署常见问题". TechTarget存储 (in Chinese (China)). Retrieved 2025-05-14.
  2. ^ Gray, Jim (1993). Transaction processing : concepts and techniques. Internet Archive. San Mateo, CA. : Morgan Kaufmann Publishers. ISBN 978-1-55860-190-1.
  3. ^ Gray, J.; Siewiorek, D.P. (1991-09). "High-availability computer systems". Computer. 24 (9): 39–48. doi:10.1109/2.84898. ISSN 1558-0814. {{cite journal}}: Check date values in: |date= (help)
  4. ^ "How to Meet Cloud and Edge Challenges". automation.com. Retrieved 2025-05-14.