Abstract

In service oriented environments, service providers need to comply with the service level objectives (SLO) stipulated in contracts with their customers. Recently, this problem has begun to be formalized in terms of a constrained control problem, where SLOs are translated into set-points for the response time of the servers, possibly different according to the customer class. As the behavior of the server response time is highly time varying and the workload conditions substantially change within the same business day, the LPV framework seems very promising for modeling such systems. In this paper, the identification of multivariable LPV models for the performance control of Web services in virtualized hosting environments is addressed. Specifically, the suitability of subspace LPV identification methods is investigated and their performance assessed on experimental data.

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