Capacity planning and performance modeling: from mainframes to client-server systems
Capacity planning and performance modeling: from mainframes to client-server systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Performance by Design: Computer Capacity Planning By Example
Performance by Design: Computer Capacity Planning By Example
Scale and performance in the Denali isolation kernel
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Diagnosing performance overheads in the xen virtual machine environment
Proceedings of the 1st ACM/USENIX international conference on Virtual execution environments
Measuring CPU overhead for I/O processing in the Xen virtual machine monitor
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Performance analysis of virtual memory time-sharing systems
IBM Systems Journal
An analytic model of the VM/370 system
IBM Journal of Research and Development
IO performance prediction in consolidated virtualized environments
Proceedings of the 2nd ACM/SPEC International Conference on Performance engineering
ATC'11 Proceedings of the 8th international conference on Autonomic and trusted computing
Consolidation and replication of VMs matching performance objectives
ASMTA'12 Proceedings of the 19th international conference on Analytical and Stochastic Modeling Techniques and Applications
Performance models of storage contention in cloud environments
Software and Systems Modeling (SoSyM)
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This paper develops a series of performance models for predicting performance of applications on virtualized systems. It introduces the main ideas of performance modeling and presents a complete case study of an application running on Linux that is migrated to a virtualized environment consisting of Linux and Xen. The paper describes the models, the process of obtaining measurements for the models and calculates performance metrics for the two environments. A validation of the results is also discussed in the paper.