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Energy-Based Accounting and Scheduling of Virtual Machines in a Cloud System

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Title
Energy-Based Accounting and Scheduling of Virtual Machines in a Cloud System
Author
Kim, Nak-Ku
Advisor
Seo, Euiseong
Issue Date
2011-08
Publisher
Graduate School of UNIST
Abstract
Virtualization enables flexible resource provisioning and improves energy efficiency through consolidating virtualized servers into a smaller number of physical servers than that of the virtualized servers. Therefore, it is becoming an essential component for the emerging cloud computing model. Currently, virtualized environment including cloud computing systems bills users for the amount of their processor time, or the number of their virtual machine instances. However, accounting based only on the depreciation cost of server hardware is not an economically proper model because the cooling and energy cost for datacenters has already exceeded the cost to own servers. This paper suggests an estimation model to account energy consumption of each virtual machine without any dedicated measurement hardware. Our estimation model estimates the energy consumption of a virtual machine based on the in-processor events generated by the virtual machine. Based on the estimation model, this paper also proposes the virtual machine scheduling algorithm that is able to provide computing resources according to the energy budget of each virtual machine. The suggested schemes are implemented in the Xen virtualization system, and the evaluation shows the suggested schemes estimate and provide energy consumption with errors less than 5% of the total energy consumption.
Description
Computer systems & Networks
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ECE_Theses_Master
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