NDLI: Maintenance policy selection in heterogeneous data warehouse environments: a heuristics-based approach

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Maintenance policy selection in heterogeneous data warehouse environments: a heuristics-based approach

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Maintenance policy selection in heterogeneous data warehouse environments: a heuristics-based approach

Content Provider	ACM Digital Library
Author	Lings, B. Engströ, H. Chakravarthy, S.
Abstract	This work addresses data warehouse maintenance, i.e. how changes to autonomous, heterogeneous, and distributed sources should be detected and propagated to a warehouse. The research community has mainly addressed issues relating to the internal operation of data warehouse servers. Work related to data warehouse maintenance has received less attention and only a limited set of maintenance alternatives are considered while ignoring the autonomy and heterogeneity of sources.In this paper, we extend work on single source view maintenance to views with multiple heterogeneous sources. We present a tool (PAM) which allows for comparison of a large number of relevant maintenance policies under different configurations. Based on such analysis and previous studies we propose a set of heuristics to guide in policy selection. The quality of these heuristics is evaluated empirically using a test-bed developed for this purpose. This is done for a number of different criteria and for different data sources and computer systems. The performance gained using the policy selected through the heuristics is compared with the performance of all identified policies. Based on these experiments we claim that heuristic-based selections are good.
Starting Page	71
Ending Page	78
Page Count	8
File Format	PDF
ISBN	1581137273
DOI	10.1145/956060.956074
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Policies View maintenance Data integration Consistency Data warehouse
Content Type	Text
Resource Type	Article

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