Author： Dehne F. Lawrence M. Rau-Chaplin A.
Publisher： Inderscience Publishers
ISSN： 1741-847X
Source： International Journal of Grid and Utility Computing, Vol.1, Iss.2, 2008-12, pp. : 169-181
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Abstract
In this paper, we propose a grid-based On-Line Analytical Processing (OLAP) application which distributes query computation across an enterprise grid. Our application follows a two-tiered process for answering queries based on sharing Cached OLAP data between the users at the local grid site and using grid scheduling approaches to execute the remaining parts of a query amongst a distributed set of OLAP Servers. A new technique for extraction and aggregation of shared Cached OLAP data is proposed, along with an efficient, aggregate-aware Cache controller. An experimental evaluation of the proposed query processing and cooperative Caching methods shows a significant reduction in query times compared to previously proposed methods.
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