hammerstein–wiener nonlinear model based predictive control for relative qos performance and resource management of software systems:基于hammerstein–维纳非线性模型的软件系统相对的qos性能和资源管理的预测控制文档.pdfVIP

hammerstein–wiener nonlinear model based predictive control for relative qos performance and resource management of software systems:基于hammerstein–维纳非线性模型的软件系统相对的qos性能和资源管理的预测控制文档.pdf

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hammerstein–wiener nonlinear model based predictive control for relative qos performance and resource management of software systems:基于hammerstein–维纳非线性模型的软件系统相对的qos性能和资源管理的预测控制文档

Control Engineering Practice 20 (2012) 49–61 Contents lists available at SciVerse ScienceDirect Control Engineering Practice journal homepage: /locate/conengprac Hammerstein–Wiener nonlinear model based predictive control for relative QoS performance and resource management of software systems Tharindu Patikirikorala a,n, Liuping Wang b, Alan Colman a, Jun Han a a Swinburne University of Technology, Victoria, Australia b RMIT University, Melbourne, Australia a r t i c l e i n f o a b s t r a c t Article history: Runtime management of Quality of Service (QoS) performance and resource provisioning is a vital issue Received 6 September 2010 in shared resource software environments. A useful performance management technique for such Accepted 5 September 2011 software systems is the relative guarantee feedback control scheme. The existing approaches for this Available online 20 October 2011 class of control systems are mainly based on off-line linear or on-line model identification and control Keywords: techniques, which tend to have performance issues in the presence of nonlinearities induced by this Nonlinear modeling scheme. Instead of using such modeling techniques, this paper proposes a new approach for QoS Block structure Hammerstein–Wiener performance management and resource provisioning by using an off-line identification of Hammerstein model and Wiener nonlinear block s

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