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Improving QoS in real-time data warehouses by using feedback control scheduling

Improving QoS in real-time data warehouses by using feedback control scheduling Nowadays the update frequency for traditional data warehouses cannot meet the objectives of real-time data analysis relying on data freshness. To alleviate this problem, the real-time data warehouse (RTDW) technology has emerged. A RTDW allows decision makers to access and analyse fresh data as fast as possible in order to support real-time decision processes. The RTDW must often deal with transient usage charges, due to the unpredictability of access to data. The purpose of this paper is two-fold: to maintain the behaviour of the RTDW at a stable state, as well as the reduction of the number of transactions responsible for not meeting their deadline. Moreover, we focus on optimisation techniques to speed up query processing; in particular, a query response time optimisation and storage space optimisation. This paper proposes our FCSA-RTDW architecture (feedback control scheduling architecture for RTDW) which deals with quality of service management by optimising the resources used and reducing significantly the RTDW overloads. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

Improving QoS in real-time data warehouses by using feedback control scheduling

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2018.093933
Publisher site
See Article on Publisher Site

Abstract

Nowadays the update frequency for traditional data warehouses cannot meet the objectives of real-time data analysis relying on data freshness. To alleviate this problem, the real-time data warehouse (RTDW) technology has emerged. A RTDW allows decision makers to access and analyse fresh data as fast as possible in order to support real-time decision processes. The RTDW must often deal with transient usage charges, due to the unpredictability of access to data. The purpose of this paper is two-fold: to maintain the behaviour of the RTDW at a stable state, as well as the reduction of the number of transactions responsible for not meeting their deadline. Moreover, we focus on optimisation techniques to speed up query processing; in particular, a query response time optimisation and storage space optimisation. This paper proposes our FCSA-RTDW architecture (feedback control scheduling architecture for RTDW) which deals with quality of service management by optimising the resources used and reducing significantly the RTDW overloads.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2018

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