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VSCBenchmark: benchmark for dynamic server performance of virtualization technology
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Source ACM International Conference Proceeding Series; Vol. 356 archive
Proceedings of the 1st international forum on Next-generation multicore/manycore technologies table of contents
Cairo, Egypt
SESSION: Performance modelling and analysis table of contents
Article No. 5  
Year of Publication: 2008
ISBN:978-1-60558-407-2
Authors
Hai Jin  Huazhong University of Science and Technology, Wuhan, China
Wenzhi Cao  Huazhong University of Science and Technology, Wuhan, China
Pingpeng Yuan  Huazhong University of Science and Technology, Wuhan, China
Xia Xie  Huazhong University of Science and Technology, Wuhan, China
Sponsors
IBM : IBM
: IBM Center for Advanced Studies, Cairo, Egypt
Publisher
ACM  New York, NY, USA
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ABSTRACT

Server consolidation, an application form of virtualization technology, consolidates multiple physical servers into a single or fewer real machines. It results in higher resource utilization and smaller space consumption and is considered as a tendency for enterprise application deployment. Some researches were carried for evaluating its static performance. However, few researches were done on the dynamic performance. Here, we present VSCBenchmark for evaluating the dynamic performance of server consolidation, such as creating and killing the VMs under different workload. Besides evaluating the performance change under different application scenarios, the benchmark also simplifies the construction and configuration of testing scenarios as much as possible. In this paper, a general overview of VSCBenchmark and its implementation are introduced. We also present some experimental results and characterize the dynamic performance of Xen and OpenVZ using VSCBenchmark.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Hai Jin: colleagues
Wenzhi Cao: colleagues
Pingpeng Yuan: colleagues
Xia Xie: colleagues