초록

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Abstract ▼ AI-Helper

Virtualized Hosting Platform (VHP) has been considered as a well-known resource provisioning environment due to its advantages like maximized resource utilization, isolated performance, and customizable runtimes, etc. Specifically, however, resource (i.e., virtual machine; VM) allocation becomes a c...

Virtualized Hosting Platform (VHP) has been considered as a well-known resource provisioning environment due to its advantages like maximized resource utilization, isolated performance, and customizable runtimes, etc. Specifically, however, resource (i.e., virtual machine; VM) allocation becomes a crucial and important role in efficiently delivering various Internet services for various domains, such as science, education, and business areas, etc. In this paper, we propose a novel dynamic VM allocation technique considering network resource contention on Xen virtualization environment. Using generic virtual cluster and job management framework, we also practically analyze the impact of various system parameters and job characteristics on the performance of our technique. The results show that our approach outperforms others, reducing average job response (by up to 37%) and execution (by up to 22.3%) times.

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