Portal:Storage
From Wikibon
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[[Storage virtualization design and deployment | read more...]] | [[Storage virtualization design and deployment | read more...]] | ||
| - | |}[[Category: | + | |}[[Category:3PAR]][[Category: Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]][[Category: DMX]][[Category: Data Protection wikitips]] |
Revision as of 18:23, 15 September 2009
The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.
WikitipEvaluation of LSI MegaRAID CacheCade SSD Management Software
SSS can be deployed directly as primary storage where the users decide what data to place on the storage, or it can be deployed as a cache in front of traditional storage, where the storage controller determines what data is placed on the SSS or solid state disk (SSD). Each implementation has advantages. LSI Corporation commissioned Demartek to evaluate MegaRAID CacheCade software in a Web server environment. CacheCade software is optimized to enhance read cache performance with features such as hot spot detection and retention. View the full report here. |
Featured Case Study
Virtualization Energizes Cal State UniversityJohn Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years. |
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Featured How-To Note |
Storage Virtualization Design and DeploymentA main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center. | |||
