Dynamic adaptation of response-time models for QoS management in autonomic systems

  • Authors:

  • Joaquín Entrialgo;Daniel F. García;Javier García;Manuel García;Pablo Valledor;Mohammad S. Obaidat

  • Affiliations:

  • Dept. of Informatics, University of Oviedo, Campus de Viesques, 33204 Gijón, Asturias, Spain;Dept. of Informatics, University of Oviedo, Campus de Viesques, 33204 Gijón, Asturias, Spain;Dept. of Informatics, University of Oviedo, Campus de Viesques, 33204 Gijón, Asturias, Spain;Dept. of Informatics, University of Oviedo, Campus de Viesques, 33204 Gijón, Asturias, Spain;R&D Technological Centre-KiN (CDT), ArcelorMittal R&D Technological Centre, Centro de Desarrollo Tecnoló&D Technological Centre, Centro de Desarrollo Tecnolóógico, PO Box 90, 33400 ...;Dept. of Computer Science and Software Engineering, Monmouth University, W. Long Branch, NJ, 07764, USA

  • Venue:
  • Journal of Systems and Software
  • Year:
  • 2011

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Abstract

In transactional systems, the objectives of quality of service regarding are often specified by Service Level Objectives (SLOs) that stipulate a response time to be achieved for a percentile of the transactions. Usually, there are different client classes with different SLOs. In this paper, we extend a technique that enforces the fulfilment of the SLOs using admission control. The admission control of new user sessions is based on a response-time model. The technique proposed in this paper dynamically adapts the model to changes in workload characteristics and system configuration, so that the system can work autonomically, without human intervention. The technique requires no knowledge about the internals of the system; thus, it is easy to use and can be applied to many systems. Its utility is demonstrated by a set of experiments on a system that implements the TPC-App benchmark. The experiments show that the model adaptation works correctly in very different situations that include large and small changes in response times, increasing and decreasing response times, and different patterns of workload injection. In all this scenarios, the technique updates the model progressively until it adjusts to the new situation and in intermediate situations the model never experiences abnormal behaviour that could lead to a failure in the admission control component.