@inproceedings{f6c61efdb32b4c1091d0f8c6cf16ebb1,
title = "Optimization algorithms for simultaneous multidimensional queries in OLAP environments",
abstract = "Multi-Dimensional Expressions (MDX) provide an interface for asking several related OLAP queries simultaneously. An interesting problem is how to optimize the execution of an MDX query, given that most data warehouses maintain a set of redundant materialized views to accelerate OLAP operations. A number of greedy and approximation algorithms have been proposed for different versions of the problem. In this paper we evaluate experimentally their performance using the APB and TPC-H benchmarks, concluding that they do not scale well for realistic workloads. Motivated by this fact, we developed two novel greedy algorithms. Our algorithms construct the execution plan in a top-down manner by identifying in each step the most beneficial view, instead of finding the most promising query. We show by extensive experimentation that our methods outperform the existing ones in most cases.",
author = "Panos Kalnis and Dimitris Papadias",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 3rd International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2001 ; Conference date: 05-09-2001 Through 07-09-2001",
year = "2001",
doi = "10.1007/3-540-44801-2_26",
language = "English (US)",
isbn = "3540425535",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "264--273",
editor = "Werner Winiwarter and Yahiko Kambayashi and Masatoshi Arikawa",
booktitle = "Data Warehousing and Knowledge Discovery - 3rd International Conference, DaWaK 2001, Proceedings",
address = "Germany",
}