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

Author

Listed:
  • Issam Hamdi
  • Emna Bouazizi
  • Saleh Alshomrani
  • Jamel Feki

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.

Suggested Citation

  • Issam Hamdi & Emna Bouazizi & Saleh Alshomrani & Jamel Feki, 2018. "Improving QoS in real-time data warehouses by using feedback control scheduling," International Journal of Information and Decision Sciences, Inderscience Enterprises Ltd, vol. 10(3), pages 181-211.
    • Handle: RePEc:ids:ijidsc:v:10:y:2018:i:3:p:181-211
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