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
A comparison of software and hardware techniques for x86 virtualization
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
System-Level Virtualization for High Performance Computing
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Characterization & analysis of a server consolidation benchmark
Proceedings of the fourth ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
Introduction to the new mainframe: z/vm basics
Introduction to the new mainframe: z/vm basics
VM3: Measuring, modeling and managing VM shared resources
Computer Networks: The International Journal of Computer and Telecommunications Networking
Modeling virtual machine performance: challenges and approaches
ACM SIGMETRICS Performance Evaluation Review
Towards Self-Aware Performance and Resource Management in Modern Service-Oriented Systems
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
Model-based self-adaptive resource allocation in virtualized environments
Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
A fine-grained performance-based decision model for virtualization application solution
TPCTC'11 Proceedings of the Third TPC Technology conference on Topics in Performance Evaluation, Measurement and Characterization
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Nowadays, virtualization solutions are gaining increasing importance. By enabling the sharing of physical resources, thus making resource usage more efficient, they promise energy and cost savings. Additionally, virtualization is the key enabling technology for Cloud Computing and server consolidation. However, the effects of sharing resources on system performance are not yet well-understood. This makes performance prediction and performance management of services deployed in such dynamic systems very challenging. Because of the large variety of virtualization solutions, a generic approach to predict the performance influences of virtualization platforms is highly desirable. In this paper, we present a hierarchical model capturing the major performance-relevant factors of virtualization platforms. We then propose a general methodology to quantify the influence of the identified factors based on an empirical approach using benchmarks. Finally, we present a case study of Citrix XenServer 5.5, a state-of-the-art virtualization platform.