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Title: Effects of correlation-based VM allocation criteria to cloud data centers
Authors: Wang, JV
Cheng, CT 
Tse, CK 
Keywords: Resource provisioning
Cloud computing
VM allocation
CPU utilization
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers
Source: 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Chengdu, China, 13-15 Oct 2016, p. 398-401 How to cite?
Abstract: Virtualization technology has been widely adopted in Cloud data centers for adaptive resource provisioning. With virtualization, multiple virtual machines (VMs) can be collocated on a single physical host to yield maximum efficiency. However, VMs which show high CPU utilization correlations to other co-located peers are more likely to trigger overloading incidents. This work provides an analysis on effects of correlation-based VM allocation criteria to Cloud data centers. The correlations among VMs' CPU utilizations are considered as parameters for decision making in VM allocation processes. Three different expressions of correlation-based criteria are introduced and evaluated in this work. According to our simulation results obtained from CloudSim with real-world workload traces, Cloud data centers with correlation-based allocation criteria can perform better in terms of reducing energy consumption and avoid committing Service Level Agreements violations than those with power-based criteria.
ISBN: 978-1-5090-5154-0 (electronic)
978-1-5090-5155-7 (print on demand(PoD))
DOI: 10.1109/CyberC.2016.83
Rights: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication J. V. Wang, C. T. Cheng and C. K. Tse, "Effects of Correlation-Based VM Allocation Criteria to Cloud Data Centers," 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), Chengdu, China, 2016, pp. 398-401 is available at
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