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.

中文翻译：

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考虑SaaS软件部署变化的响应时间影响分析

SaaS（软件即服务）软件的部署变化会影响其响应时间，这是一个重要的性能指标。因此，研究部署变更对 SaaS 软件响应时间的影响有助于提高软件的性能。然而，很少有性能分析方法可以直接分析SaaS软件的部署变化与响应时间之间的关系。在本文中，我们提出了一种方法，该方法明确地提供了特定部署更改操作对 SaaS 软件响应时间的影响分析。具体来说，我们提出了一种利用排队理论评估SaaS软件在特定部署方案中的响应时间的方法。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相对于部署变化的变化趋势。此外，我们研究了两种特定类型的部署变更操作与SaaS软件响应时间变化之间的关系，用于提出一种基于部署变更的响应时间改进方法。最后通过实际案例验证了本文分析结论和提出方法的有效性，表明根据本文得出的结论调整部署方案有助于提高SaaS软件的响应时间。用于提出一种基于部署变化的响应时间改进方法。最后通过实际案例验证了本文分析结论和提出方法的有效性，表明根据本文得出的结论调整部署方案有助于提高SaaS软件的响应时间。用于提出一种基于部署变化的响应时间改进方法。最后通过实际案例验证了本文分析结论和提出方法的有效性，表明根据本文得出的结论调整部署方案有助于提高SaaS软件的响应时间。