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GemStone Systems Shares Grid Data Caching Expertise with Asian Market


Beaverton, Ore. – November 17, 2008 – GemStone Systems, the leading provider of the Enterprise Data Fabric (EDF), is on a mission to educate organizations about Grid Data Caching and help them increase CPU utilization to nearly 100 percent.

At the Open Grid Forum, which took place in Singapore this past September, Jags Ramnaryan, Chief Architect for GemStone Systems, led a group of IT professionals in an interactive, how-to session that explored how a scalable, flexible distributed main memory cache can operate in a grid environment to increase CPU utilization to the highest levels.

“High availability of data is no longer enough; today, data has to be continuously available,” says Ramnaryan. “The recent volatility in the stock market is a prime example. It is essential for traders to have instant access to essential data so they can make quick, informed decisions; without it they would be paralyzed"

However, as the adoption of grid computing in the enterprise grows, several projects may be faced with a variety of challenges, according to Ramnaryan, most commonly, the data intensive nature of Grid applications can cause servers to become IO bound, sometimes reducing the average CPU utilization to less than 50%.

In order to address such issues, Ramnaryan left his audience with a few key take-aways:
• Applications should capitalize memory across the grid, as it is abundant
• IO cycles should be kept to a minimum through main memory caching of operational data sets
• Horizontal partitioning of data and its behavior can help achieve near infinite scale for Grid apps
• Become knowledgeable about enterprise data fabric and its benefits

Gemstone Systems is headquartered in Beaverton, Oregon and has offices in Mountain View, CA; New York, NY; Tokyo, Japan; London, England; and Pune, India, and it is on the Internet at GemStone Systems’ products are used by more than 200 large enterprise customers in mission-critical environments throughout the financial services, the Federal Government, transportation, telecommunications and energy industries.


 Enterprise Data Fabric
 Grid Computing
 CPU utilization
 data chaching

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