More with Less
Pressured by CEOs to do more with less in this challenging economic environment improving the productivity of IT assets has become a top priority for CIOs, given the average CPU running around 25% capacity while stranded direct-attached storage being utilized below 50% in many large companies.
Deploying a multitude
of rack-mount xU-servers, each running their own OS on their own individual
hardware, has been
no solution either, since they could not scale due to lack of a shared
The real cost reduction opportunity in computing lies in eliminating monolithic, proprietary servers altogether. Replacing them with standard high volume, low-cost, modular servers running industry-standard Windows/Linux OS and augmenting them with advanced access, availability, and administration functions, emulated from expensive mainframe or UNIX environments, will bring about the best of all worlds.
One of the key contributions offered by the new generation of blade servers lies in their ability for hardware provisioning through segmenting server resources at the blade board level. Each of these blade resources may be allocated to one of the operating system instances while achieving scalability through simple plug-ins of additional blades. This form of provisioning provides a high degree of fault tolerance, simplifies the hardware upgrade process, and allows hardware to be logically partitioned to run different applications at different performance levels.
Thus, a diversity of shifting peak loads can simply be handled flexibly through software provisioning of these blade resources. This puts the blade servers at a distinct advantage for adoption in a variety of environments from small
Because of their flexibility to take on software provisioning, blade servers can easily address various specialized requirements of Tier 1, 2 and 3 applications, on the Web or in the Data Center.
Industry standard blades actually facilitate convergence of computing (channels) and Networks (nodal interconnectivity) to achieve true distributed computing as epitomized ultimately in grid computing of the future.
Segmentation by Platform
Drivers for Blade Servers
Some of the major growth
drivers accelerating the adoption of blade servers include:
Click on the following for additional information or go to http://www.imexresearch.com.