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Efficient OLAP Query Processing in Distributed Data Warehouses

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Efficient OLAP Query Processing in Distributed Data Warehouses
Abstract. The success of Internet applications has led to an explosive growth in the demand for bandwidth from ISPs. Managing an IP network requires collecting and analyzing network data, such as flowlevel traffic statistics. Such analyses can typically be expressed as OLAP queries, e.g., correlated aggregate queries and data cubes. Current day OLAP tools for this task assume the availability of the data in a centralized data warehouse. However, the inherently distributed nature of data collection and the huge amount of data extracted at each collection point make it impractical to gather all data at a centralized site. One solution is to maintain a distributed data warehouse, consisting of local data warehouses at each collection point and a coordinator site, with most of the processing being performed at the local sites. In this paper, we consider the problem of efficient evaluation of OLAP queries over a distributed data warehouse. We have developed the Skalla system for this task. ...
Michael O. Akinde, Michael H. Böhlen, Theodor
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2002
Where EDBT
Authors Michael O. Akinde, Michael H. Böhlen, Theodore Johnson, Laks V. S. Lakshmanan, Divesh Srivastava
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