Multi-Versions Data for Improvement of QoS in RTDBS

  • Authors:
  • Emna Bouazizi;Claude Duvallet;Bruno Sadeg

  • Affiliations:
  • Université du Havre;Université du Havre;Université du Havre

  • Venue:
  • RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
  • Year:
  • 2005

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Abstract

In current research toward the design of more powerful behavior of RTDBS under unpredictable workloads, different research groups focus their work on QoS (Quality of Service) guarantee. Their research are often based on feedback control real-time scheduling theory. In this paper, we propose a technique which allows to execute transactions on time using fresh and precise data while taking into account the global size of the database. We have extended the feedback-based miss ratio control by both using multi-versions data, and proposing a data management policy combining (1) limitation of the versions number and (2) dynamic adjustment of this limit according to a maximum database size parameter.