NDLI: Resource Allocation in Contending Virtualized Environments through VM Performance Modeling and Feedback

Content Provider	IEEE Xplore Digital Library
Author	Congfeng Jiang Xianghua Xu Jilin Zhang Yunfa Li Jian Wan
Copyright Year	2011
Abstract	With active deployment of virtualization in large scale data centers and cloud computing environments, allocation and scheduling of virtual and physical resources raise more challenges and may have negative impacts on system performance due to: (1) the isolation between the guest Virtual Machines (VMs) and the Virtual Machines Monitor (VMM), and (2) the independent and even conflicting operations between multiple VMs. In this paper a stochastic model of resources in virtualized environments is proposed and resource allocation and scheduling algorithm are proposed to provide performance guarantees and service differentiation in contending conditions. In the proposed algorithm user behavior and workloads are characterized through the historical and real time performance profiling and estimation from hosted agents within individual VMs. The resources are allocated according to the demand as well as the performance of the targeted VMs based on the Suffer age aggregation and performance feedback. Experiments on a real Xen based virtualization environment with 3 VMs are conducted and evaluated for accuracy, efficiency, sensitivity, and overhead. The results show that the performance feedback based allocation can achieve a higher SLA satisfaction rate as 97.5%, a lower load imbalance index as 17.6%. The results also show that this algorithm is valid, effective and scalable for implementation in real virtualized environments.
Starting Page	196
Ending Page	203
File Size	559031
Page Count	8
File Format	PDF
ISBN	9781457708855
DOI	10.1109/ChinaGrid.2011.44
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Accuracy performance feedback resource allocation Stochastic processes Estimation scheduling workload characterization Resource management Time factors Indexes virtualized environment
Content Type	Text
Resource Type	Article

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