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Workload Evaluation and Analysis on Virtual Systems

Authors: Shiang-Jiun Chen; Po-Huei Liang; Jiann-Min Yang;

Workload Evaluation and Analysis on Virtual Systems

Abstract

Recently, the trend of Cloud Computing has become a significant impact for IT departments and forms many innovative services by virtualization. Virtual systems have been used and identified on services of different fields nowadays. IT hardware manufacturers such as HP, IBM, Dell, etc…, put a large amount of investments on enterprise server products to support the virtualization environment. Service providers also consider how to transfer their service to the Cloud environment and how to assure the quality of the new service framework. Therefore, the test of Cloud service and the evaluation of virtualization benchmark must be a new important field to be emphasized, an innovative Cloud service “Test as a Service” has been created by several service providers. In this paper, we investigate the performance factors of virtualization benchmark based on the Vmmark model which adapts the same workloads on one server. In real cases, various workloads would run on the same server, the results of new scores may be different with the original metrics. Further, a new scoring algorithm is established for dynamic composed workloads in this paper. Finally, some experiment scenarios combined with one-tile VMmark workloads and one specific server workload were executed and used to illustrate the weighted points of different kinds of workloads on server consolidation.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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