Cooperative caching for grid-enabled OLAP

  • Authors:
  • F. Dehne;M. Lawrence;A. Rau-Chaplin

  • Affiliations:
  • School of Computer Science, Carleton University, Ottawa, Canada.;Department of Computer Science, University of British Columbia, Vancouver, Canada.;Faculty of Computer Science, Dalhousie University, Halifax, NS, Canada

  • Venue:
  • International Journal of Grid and Utility Computing
  • Year:
  • 2009

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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.