Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Performance Guarantees for Web Server End-Systems: A Control-Theoretical Approach
IEEE Transactions on Parallel and Distributed Systems
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
Load prediction models in web-based systems
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
SLA based resource allocation policies in autonomic environments
Journal of Parallel and Distributed Computing
Analytic modeling of multitier Internet applications
ACM Transactions on the Web (TWEB)
Bound analysis of closed queueing networks with workload burstiness
SIGMETRICS '08 Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
An adaptive model-free resource and power management approach for multi-tier cloud environments
Journal of Systems and Software
Hi-index | 0.01 |
In SOA environments, service providers need to comply with the service level objectives stipulated in contracts with their customers while minimizing the operating costs of the physical infrastructure, mainly related to energy costs. The problem can be effectively formalized by using system identification and control theory: the service levels are translated into set-points for the response times of the hosted applications, and performance are traded-off with energy saving objectives based on suitable models for server dynamics. As the behavior of the incoming workload changes significantly within a single business day, control-oriented system identification approaches are very promising to model such systems, especially at a very fine grained time scales and in transient conditions. In this paper Linear Parameter Varying (LPV) state space system identification algorithms are analyzed for modeling Web services systems. The suitability of LPV models is investigated and their performance assessed by experimental data.