Computer Science ›› 2016, Vol. 43 ›› Issue (10): 33-39.doi: 10.11896/j.issn.1002-137X.2016.10.005

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Cloud Computing System Availability Evaluation for IaaS

LI A-ni, ZHANG Xiao, ZHAO Xiao-nan, ZHANG Bo-yang and LIU Chun-yi   

  • Online:2018-12-01 Published:2018-12-01

Abstract: With the expansion of the cloud computing application,people are getting worried about the security,reliability and availability of cloud computing.The cloud computing system promises to provide the services that meet the servi-ce level agreements which commonly include performance and availability.However,because of the inherent complexity of the availability,the evaluation of availability lacks quantitative calculation method,especially for the cloud computing system users.To solve these issues,we proposed an end-user oriented and a cloud computing service provider oriented cloud computing system availability evaluation method.These two methods adopt the definition of the availability to build model and take the boot time of the virtual machine as mean time to repair(MTTR).The mean time to failure(MTTF) of the first method adopts the parameter which is provided by cloud computing service providers.The virtual machine’s MTTF of the second method is statistically obtained,meanwhile,the cluster availability of the cloud computing system is counted.Because it is difficult to carry out experimental verification for the latter,therefore,we only verified the first method.We measured the boot time of the virtual machine in public clouds and private clouds,and combined the MTTF which is provided by cloud computing service provider.Finally,we calculated the availability of two different kinds of cloud computing services.This method facilitates users to calculate the availability quickly and provides recommendations for users to choose different cloud services.In addition,users can judge whether the cloud computing provider’s promise reaches the standard and whether some important industry application services can migrate to the cloud platform.

Key words: Cloud computing,Availability,Mean time to failure,Mean time to repair,Quantitative calculation

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