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

Issam Hamdi, Emna Bouazizi, Saleh Alshomrani and Jamel Feki

International Journal of Information and Decision Sciences, 2018, vol. 10, issue 3, 181-211

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.

Keywords: real-time data warehouse; RTDW; real-time transactions; quality of service; QoS; materialised views; data partitioning. (search for similar items in EconPapers)
Date: 2018
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