A Methodology for Continuous Evaluation of Cloud Resiliency

Journal Title: American Journal of Engineering and Applied Sciences - Year 2016, Vol 9, Issue 2

Abstract

A Methodology for Continuous Evaluation of Cloud Resiliency Long Wang, Tiancheng Liu, Yue Zhang and Xiaoyong Yuan DOI : 10.3844/ajeassp.2016.264.273 American Journal of Engineering and Applied Sciences Volume 9, Issue 2 Pages 264-273 Abstract With the growth of cloud computing, resiliency of cloud is critical for enterprises’ business. However, the continuous-changing of cloud makes evaluation of cloud resiliency more difficult. In this study, we design a methodology for automatic and continuous evaluation of cloud resiliency and implement it in a tool called CRGauge. The Continuous Evaluation Model methodology leverages fault injection techniques to inject faults and an open-source library to set up synthetic workloads for the test campaign. Our experiment results on OpenStack cloud platform show that resiliency of OpenStack is needed to be improved especially in heavy workloads. Copyright © 2016 Long Wang, Tiancheng Liu, Yue Zhang and Xiaoyong Yuan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. http://thescipub.com/abstract/10.3844/ajeassp.2016.264.273

Authors and Affiliations

Xiaoyong Yuan, Long Wang, Tiancheng Liu, Yue Zhang

Keywords

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  • EP ID EP203603
  • DOI 10.3844/ajeassp.2016.264.273
  • Views 97
  • Downloads 0

How To Cite

Xiaoyong Yuan, Long Wang, Tiancheng Liu, Yue Zhang (2016). A Methodology for Continuous Evaluation of Cloud Resiliency. American Journal of Engineering and Applied Sciences, 9(2), 264-273. https://europub.co.uk/articles/-A-203603