Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Automatica (Journal of IFAC) - Special issue on statistical signal processing and control
On maximizing service-level-agreement profits
Proceedings of the 3rd ACM conference on Electronic Commerce
Managing energy and server resources in hosting centers
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
The Vision of Autonomic Computing
Computer
A hierarchical characterization of a live streaming media workload
IEEE/ACM Transactions on Networking (TON)
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)
Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms
Proceedings of the 3rd international conference on Virtual execution environments
Open versus closed: a cautionary tale
NSDI'06 Proceedings of the 3rd conference on Networked Systems Design & Implementation - Volume 3
Subspace identification of MIMO LPV systems using a periodic scheduling sequence
Automatica (Journal of IFAC)
Comparison of the three CPU schedulers in Xen
ACM SIGMETRICS Performance Evaluation Review
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
International Journal of Communication Systems
Power and Performance Management of Virtualized Computing Environments Via Lookahead Control
ICAC '08 Proceedings of the 2008 International Conference on Autonomic Computing
Enforcing performance isolation across virtual machines in Xen
Proceedings of the ACM/IFIP/USENIX 2006 International Conference on Middleware
Filtering and System Identification: A Least Squares Approach
Filtering and System Identification: A Least Squares Approach
Black-box and gray-box strategies for virtual machine migration
NSDI'07 Proceedings of the 4th USENIX conference on Networked systems design & implementation
Enhancing the Disaster Recovery Plan Through Virtualization
Journal of Information Technology Research
Towards software performance engineering for multicore and manycore systems
ACM SIGMETRICS Performance Evaluation Review
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In order to reduce the operating costs of IT systems, nowadays service applications are executed in virtualized infrastructures and a time varying fraction of the physical servers' capacity is shared among running applications. The performance modelling of a virtualized server is very challenging as the impact of the choice of the Virtual Machine Monitor (VMM) scheduler, its parameters and I/O management overhead is still only partially understood. In this paper, black-box models based on the Linear Parameter Varying (LPV) framework are proposed for the run-time modelling and performance control of Web services in virtualized hosting environments. As the behavior of the application response time is highly time varying and the workload conditions substantially change within the same business day, LPV models seem very promising for predicting the performance of such systems. Specifically, the suitability of subspace LPV identification methods for multi-variable systems is investigated and their performance assessed on experimental data gathered on Xen environments.