Hammerstein-Wiener nonlinear model based predictive control for relative QoS performance and resource management of software systems

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Title: Hammerstein-Wiener nonlinear model based predictive control for relative QoS performance and resource management of software systems
Author(s): Patikirikorala, Tharindu; Wang, Liuping; Colman, Alan; Han, Jun
Abstract: Runtime management of Quality of Service (QoS) performance and resource provisioning is a vital issue in shared resource software environments. A useful performance management technique for such software systems is the relative guarantee feedback control scheme. The existing approaches for this class of control systems are mainly based on off-line linear or on-line model identification and control techniques, which tend to have performance issues in the presence of nonlinearities induced by this scheme. Instead of using such modeling techniques, this paper proposes a new approach for QoS performance management and resource provisioning by using an off-line identification of Hammerstein and Wiener nonlinear block structural model. Using the characteristic structure of the nonlinear model, a predictive feedback controller based on a gain schedule technique is incorporated in the design to achieve the performance objectives. The proposed approach is validated using experiments based on a prototype, demonstrating superior runtime QoS performance management and resource provisioning in a complex software system.
Publication type: Journal article
Research centre: Swinburne University of Technology
Source: Control Engineering Practice, Vol. 20, no. 1 (Jan 2012), pp. 49-61
Publication year: 2012
FOR Code(s): 0102 Applied Mathematics; 0906 Electrical and Electronic Engineering; 0913 Mechanical Engineering
Keyword(s): Block structure model; Hammerstein-Wiener nonlinear model; Nonlinear modeling; Quality of service; Performance management; Resource provisioning; Runtime management
Publisher: Elsevier
ISSN: 0967-0661
Publisher URL: http://dx.doi.org/10.1016/j.conengprac.2011.09.003
Copyright: Copyright © 2011 Elsevier Ltd. All rights reserved. The accepted manuscript will be reproduced 24 months after publication (January 2014) in accordance with the copyright policy of the publisher.
Peer reviewed