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Impact Analysis About Response Time Considering Deployment Change of SaaS Software

机译:考虑萨瓦斯软件部署变化的响应时间的影响分析

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摘要

The deployment change of SaaS (Software as a Service) software will influence its response time, which is an important performance metric. Therefore, studying the impact of deployment change on the response time of SaaS software could contribute to performance improvement of the software. However, there are few performance analysis methods which can directly analyze the relationship between deployment change and response time of SaaS software. In this paper, we propose an approach which provides the impact analysis of specific deployment change operations on response time of SaaS software explicitly. Specifically, we present an evaluation method for the response time of SaaS software in specific deployment scheme by leveraging queueing theory. With mathematical derivation based on the proposed evaluation method, we qualitatively analyze the variation trend of response time with respect to deployment change. Furthermore, we study the relationship between two specific types of deployment change operations and response time variation of SaaS software, which is used to propose a response time improvement method based on deployment change. Finally, the effectiveness of the analysis conclusions and the proposed method in this paper is validated by practical cases, which indicates that adjusting deployment scheme according to the conclusions obtained in this paper can be helpful in improving the response time of SaaS software.
机译:SaaS(作为服务)软件的部署更改将影响其响应时间,这是一个重要的性能度量。因此,研究部署变化对SaaS软件的响应时间的影响可能有助于对软件的性能改进。但是,很少的性能分析方法可以直接分析部署改变与SaaS软件的响应时间之间的关系。在本文中,我们提出了一种方法,它明确地提供了对SaaS软件的响应时间的特定部署变更操作的影响分析。具体地,我们通过利用排队理论介绍了SAAS软件在特定部署方案中的响应时间的评估方法。通过基于所提出的评估方法的数学推导,我们定性地分析了响应时间的变化趋势,相对于部署变化。此外,我们研究了两个特定类型的部署改变操作和SaaS软件的响应时间变化之间的关系,用于提出基于部署改变的响应时间改进方法。最后,通过实际案例验证了分析结论和本文提出的方法的有效性,这表明根据本文获得的结论调整部署方案可以有助于改善SaaS软件的响应时间。

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