NDLI: On solving the view selection problem in distributed data warehouse architectures

Content Provider	IEEE Xplore Digital Library
Author	Bauer, A. Lehner, W.
Copyright Year	2003
Description	Author affiliation: T-Syst. Nova GmbH, Nuremberg, Germany (Bauer, A.)
Abstract	The use of materialized views in a data warehouse installation is a common tool to speed up mostly aggregation queries. The problems coming along with materialized aggregate views have triggered a huge variety of proposals, such as picking the optimal set of aggregation combinations, transparently rewriting user queries to take advantage of the summary data, or synchronizing pre-computed summary data as soon as the base data changes. The paper focuses on the problem of view selection in the context of distributed data warehouse architectures. While much research was done with regard to the view selection problem in the central case, we are not aware to any other work discussing the problem of view selection in distributed data warehouse systems. The paper proposes an extension of the concept of an aggregation lattice to capture the distributed semantics. Moreover, we extend a greedy-based selection algorithm based on an adequate cost model for the distributed case. Within a performance study, we finally compare our findings with the approach of applying a selection algorithm locally to each node in a distributed warehouse environment.
Sponsorship	Nat. Center for Geographic Inf. & Anal. Univ. Maine
Starting Page	43
Ending Page	51
File Size	351974
Page Count	9
File Format	PDF
ISBN	0769519644
ISSN	10993371
DOI	10.1109/SSDM.2003.1214953
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data warehouses Space technology Lattices Databases Material storage Conference management Technology management Time factors Costs Aggregates
Content Type	Text
Resource Type	Article

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