Portal:Storage
From Wikibon
| (12 intermediate revisions not shown) | |||
| Line 1: | Line 1: | ||
<meta name="description" content="The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles." /> | <meta name="description" content="The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles." /> | ||
<meta name="title" content="Data Storage Technology Research: Data Storage Portal" /> | <meta name="title" content="Data Storage Technology Research: Data Storage Portal" /> | ||
| + | |||
| + | The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles. | ||
| + | |||
| + | |||
| + | '''Latest Information Storage Research''' | ||
| + | * [http://wikibon.org/wiki/v/Storage_Facts%2C_Figures%2C_Best_Practices%2C_and_Estimates Storage Facts, Figures, Best Practices, and Estimates] | ||
| + | |||
{| class="wikitable" style="font-size: 80%; text-align: center; width: 95%;" | {| class="wikitable" style="font-size: 80%; text-align: center; width: 95%;" | ||
| - | ![[Image:LinkedIn.gif | + | ![[Image:LinkedIn.gif|100px|link=http://www.linkedin.com/groups?gid=835317&trk=hb_side_g]] |
| - | |[[Image:facebook.jpeg | + | |[[Image:facebook.jpeg|100px|link=http://www.facebook.com/pages/Wikibon/6191646228]] |
| - | |[[Image:twitter.jpg| | + | |[[Image:twitter.jpg|100px|link=http://twitter.com/wikibon]] |
| + | |[[Image:blog-2.jpg|100px|link=http://wikibon.org/blog]] | ||
|- | |- | ||
| - | + | |[http://www.linkedin.com/groups?gid=835317&trk=hb_side_g >>Join our Group] | |
|[http://www.facebook.com/pages/Wikibon/6191646228 >>Become a Fan] | |[http://www.facebook.com/pages/Wikibon/6191646228 >>Become a Fan] | ||
|[http://twitter.com/wikibon >>Follow @Wikibon] | |[http://twitter.com/wikibon >>Follow @Wikibon] | ||
| + | |[http://wikibon.org/blog >>Read the Blog] | ||
|-} | |-} | ||
| - | |||
| - | |||
__NOTOC__ | __NOTOC__ | ||
| Line 36: | Line 43: | ||
</p> | </p> | ||
[[Storage virtualization design and deployment | read more...]] | [[Storage virtualization design and deployment | read more...]] | ||
| - | |} | + | |}[[Category:Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]][[Category: Compliance and discovery]][[Category: Enterprise mobile wikitips]] |
Current revision as of 00:18, 23 February 2010
The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.
Latest Information Storage Research
| 
| 
| 
| ||||
|---|---|---|---|---|---|---|---|
| >>Join our Group | >>Become a Fan | >>Follow @Wikibon | >>Read the Blog | ||||
WikitipUsing RAID 1 members as seed drives can simplify deploymentAlthough there are a number of techniques used to deploy a model system configuration to systems with identical hardware, some are much more time consuming, labor intensive, and prone to failure than others. Using RAID 1 members in a reference model LINUX system as seed drives for all the other RAID 1's in the same group of systems, proves to be an easy, rapid, and reliable method for system deployment. |
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. |
|
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. | |||
