Resolving Data Issues with Grid Computing

Grid computing is an innovative approach that leverages existing IT infrastructure to optimize compute resources and manage data and computing workloads. Although grid computing is not a new concept, it has gained recent renewed interest and activity for two major reasons:

IT budgets have been cut, and grid computing offers a much less expensive alternative to purchasing new, larger server platforms. Computing problems in several industries involve processing large volumes of data and/or performing repetitive computations to the extent that the workload requirements exceed existing server platform capabilities. In tonight�s presentation, Stephen Herkovits will introduce the concepts of grid computing, and how intelligent use of grid computing can be a cost effective way to resolve IT issues in the areas of data, computing and collaboration.


Stephen Herskovits is a solution specialist at SAS Canada where he is currently involved with their grid computing activities. He has a Bachelor of Engineering Sciences degree in software engineering as well as an MBA.

Questions please contact

Bill Chadwick at
Diane Vint Johnson at


May 24 2005


5:45 pm - 7:30 pm


Beeton Room West, Toronto Reference Library, Yonge Street at Asquith Ave. (one block north of Bloor), Toronto

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