Research Article Open Access

A Methodology for Continuous Evaluation of Cloud Resiliency

Xiaoyong Yuan1, Long Wang2, Tiancheng Liu3 and Yue Zhang4
  • 1 Peking University, China
  • 2 IBM Thomas J. Watson Research Center, United States
  • 3 China Research Laboratory, China
  • 4 Aliyun Computing Co., China
American Journal of Engineering and Applied Sciences
Volume 9 No. 2, 2016, 264-273

DOI: https://doi.org/10.3844/ajeassp.2016.264.273

Submitted On: 23 October 2015 Published On: 16 March 2016

How to Cite: Yuan, X., Wang, L., Liu, T. & Zhang, Y. (2016). A Methodology for Continuous Evaluation of Cloud Resiliency. American Journal of Engineering and Applied Sciences, 9(2), 264-273. https://doi.org/10.3844/ajeassp.2016.264.273

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.

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Keywords

  • Cloud Resiliency
  • OpenStack
  • Continuous Evaluation
  • Fault Injection