Analysis of the Performance-Influencing Factors of Virtualization Platforms
N. Huber, M. von Quast, F. Brosig, and S. Kounev. The 12th International Symposium on Distributed Objects, Middleware, and Applications (DOA 2010), Crete, Greece, Springer Verlag, (October 2010)Acceptance Rate (Full Paper): 33\%.
Abstract
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.
%0 Conference Paper
%1 HuQuBrKo2010-DOA-AnalysisVirt
%A Huber, Nikolaus
%A von Quast, Marcel
%A Brosig, Fabian
%A Kounev, Samuel
%B The 12th International Symposium on Distributed Objects, Middleware, and Applications (DOA 2010)
%C Crete, Greece
%D 2010
%I Springer Verlag
%K Metrics_and_benchmarking_methodologies Resource_management Instrumentation_profiling_and_workload_characterization t_full Performance Automated_model_learning Virtualization descartes
%T Analysis of the Performance-Influencing Factors of Virtualization Platforms
%X 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.
@inproceedings{HuQuBrKo2010-DOA-AnalysisVirt,
abstract = {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.},
added-at = {2020-04-05T23:13:22.000+0200},
address = {Crete, Greece},
author = {Huber, Nikolaus and von Quast, Marcel and Brosig, Fabian and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/2c3c2df68af332ce5bbf743f9c9a455ec/se-group},
booktitle = {The 12th International Symposium on Distributed Objects, Middleware, and Applications (DOA 2010)},
interhash = {38f750d150d7263c0e8775d70cc66fee},
intrahash = {c3c2df68af332ce5bbf743f9c9a455ec},
keywords = {Metrics_and_benchmarking_methodologies Resource_management Instrumentation_profiling_and_workload_characterization t_full Performance Automated_model_learning Virtualization descartes},
month = {October},
note = {Acceptance Rate (Full Paper): 33\%},
publisher = {Springer Verlag},
timestamp = {2020-10-05T16:27:19.000+0200},
title = {{Analysis of the Performance-Influencing Factors of Virtualization Platforms}},
year = 2010
}