Effects of correlation-based VM allocation criteria to cloud data centers

Jing V. Wang; Chi Tsun Cheng; Chi Kong Tse

doi:10.1109/CyberC.2016.83

Effects of correlation-based VM allocation criteria to cloud data centers

Jing V. Wang, Chi Tsun Cheng, Chi Kong Tse

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

8 Citations (Scopus)

Abstract

Virtualization technology has been widely adopted in Cloud data centers for adaptive resource provisioning. With virtualization, multiple virtual machines (VMs) can be colocated 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.

Original language	English
Title of host publication	Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016
Publisher	IEEE
Pages	398-401
Number of pages	4
ISBN (Electronic)	9781509051540
DOIs	https://doi.org/10.1109/CyberC.2016.83
Publication status	Published - 23 Feb 2017
Event	8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016 - Ascott Raffles City, Chengdu, China Duration: 13 Oct 2016 → 15 Oct 2016

Conference

Conference	8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016
Country/Territory	China
City	Chengdu
Period	13/10/16 → 15/10/16

Keywords

Cloud computing
Correlation
CPU utilization
Resource provisioning
VM allocation

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Safety, Risk, Reliability and Quality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

More information

10.1109/CyberC.2016.83

http://hdl.handle.net/10397/64539

Cite this

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Wang, JV, Cheng, CT & Tse, CK 2017, Effects of correlation-based VM allocation criteria to cloud data centers. in Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016., 7864268, IEEE, pp. 398-401, 8th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016, Chengdu, China, 13/10/16. https://doi.org/10.1109/CyberC.2016.83

Effects of correlation-based VM allocation criteria to cloud data centers. / Wang, Jing V.; Cheng, Chi Tsun; Tse, Chi Kong.
Proceedings - 2016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2016. IEEE, 2017. p. 398-401 7864268.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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Effects of correlation-based VM allocation criteria to cloud data centers

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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