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HP IO Accelerator for
BladeSystem c-Class - Questions & Answers

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HP IO Accelerator for BladeSystem c-Class

Business Value

Enhances application performance with superior storage I/Os and read/write performance for businesses with high transaction rates needing real-time data access.
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Questions

1. What is an IO Accelerator?
2. What are the benefits of the HP IO Accelerator for BladeSystem c-Class?
3. List some of the use cases for this technology.

Answers

Q1. What is an IO Accelerator?
A1. Many businesses and applications such as data mining, business intelligence and financial transactions will benefit significantly from high speed and low latency access to data. Using solid state storage technology on the IO bus ensures high read and write performance and accelerated application performance, this implementation is an IO Accelerator. The application performance enhancement has a positive impact on business results and ability to takes decision quickly, resulting is cost and time savings.
Q2. What are the benefits of the HP IO Accelerator for BladeSystem c-Class?
A2. Solid State Storage Technology can provide customer benefits in several different areas and in different architecture implementations, this technology offers benefits of high performance and reliability with no moving parts, and low power and cooling requirements and improved environmental tolerance. Solid state storage technology utilization has only recently become a popular topic in the market despite the fact that it has been used in some enterprise applications for a number of years, especially where the workloads benefit significantly from very low latency access, and application benefits match the costs associated with the solution. Solid state storage technology benefits are best realized with latency sensitive environments for both read and write intensive workloads.
Q3. List some of the use cases for this technology.
A3.

Some of the applications that could see performance improvements from the HP IO Accelerator include:

  • Databases than need to run in memory for performance reasons
  • Seismic data processing
  • Business intelligence and data mining
  • Real-time financial data processing and verification
  • Content caching for near static data file/web servers
  • 3D animation and rendering
  • CAD/CAM
  • Virtual desktop infrastructure solution
  • Hypervisor running a large number of virtual machines
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