PARALLEL VERIFICATION EXECUTION WITH VERIFY ALGEBRA IN A CLOUD ENVIRONMENT

Kan Luo, Siyuan Wang, An Wei, Wei Yu, Kai Hu
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Abstract

Soft-as-a-Service (SaaS) is a software delivery model that contains composition, development and execution on cloud platforms. And massive SaaS applications need verifying before deployed. To get the verify results of a large quantity of applications in a tolerate time, verify algebra (VA) is used to cut down the number of combinations to be verified. VA is an effective way to acquire the verify statue by using previous results. In VA, the verify result is calculated without knowing the process of verification. In this way, the verification task can be distributed to servers and executed in any order. This paper proposes method called component disassembly tree to decompose a complex SaaS application. And designs a parallel verification framework in cloud environment. The Optimization of execution is discussed. The proposed parallel schema is simulated in MapReduce.
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在云环境中使用验证代数并行执行验证
软件即服务(SaaS)是一种软件交付模型,它包含在云平台上的组合、开发和执行。大规模的SaaS应用程序需要在部署前进行验证。为了在允许的时间内得到大量应用的验证结果,利用验证代数(VA)来减少需要验证的组合数量。利用先验结果获取验证状态是一种有效的方法。在VA中,在不知道验证过程的情况下计算验证结果。这样,验证任务就可以被分发到服务器上,并以任意顺序执行。本文提出了一种称为组件分解树的方法来分解复杂的SaaS应用程序。并设计了一个云环境下的并行验证框架。讨论了执行的优化问题。在MapReduce中对所提出的并行模式进行了仿真。
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