PARALLEL PROCESSING OF OLAP QUERIES USING A CLUSTER OF WORKSTATIONS

S. Dehuri () and R. Mall ()
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S. Dehuri: P.G. Department of Information and Communication Technology, Fakir Mohan University, Vyasa Vihar, Balasore 756019, Orissa, India
R. Mall: Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur 721302, Kolkata, India

International Journal of Information Technology & Decision Making (IJITDM), 2007, vol. 06, issue 02, 279-299

Abstract: Online analytical processing (OLAP) queries normally incur enormous processing overheads due to the huge size of data warehouses. This results in unacceptable response times. Parallel processing using a cluster of workstations has of late emerged as a practical solution to many compute and data intensive problems. In this article, we present parallel algorithms for some of the OLAP operators. We have implemented these parallel solutions for a data warehouse implemented on Oracle hosted in a cluster of workstations. Our performance studies show that encouraging speedups are achieved.

Keywords: Data warehouse; OLAP; cluster computing; parallel processing; RDBMS (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1142/S0219622007002484

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