A metric to predict software scalability
A metric to predict software scalability
复制标题
预测软件可扩展性的指标
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
Alberto Avritzer
中科院分区：
文献类型：
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作者：
E. Weyuker;Alberto Avritzer
软件系统的可扩展性对于大多数企业来说是一个重要问题。重要的是，随着客户群的增加，系统必须处理显着增加的负载，系统准备好处理增加的流量，以便用户不会遇到不可接受的系统性能。为此，我们引入了一个新的指标，即 PNL 指标，它可用于预测性能问题的概率将超过可接受水平的可能负载。描述了一个案例研究，演示了 PNL 指标在大型工业软件系统中的应用。提供了对软件建模和收集数据所采取的步骤的描述，以及 PNL 度量的计算以及从该系统的计算中得出的含义。该项目使用此信息来帮助规划额外容量，以便客户体验到的性能可能仍然可以接受。
Software system scalability is an important issue for most businesses. It is essential that as the customer base increases, and therefore the system has to deal with significantly increased loads, the system is prepared to handle the increased traffic so that the users do not encounter unacceptable system performance. For this reason we introduce a new metric, the PNL metric, that can be used to predict the likely loads at which the probability of performance problems will exceed acceptable levels. A case study is described that demonstrates the application of the PNL metric to a large industrial software system. A description of the steps taken to model the software and collect data is provided, as well as the computation of the PNL metric and implications derived from the computation for this system. This information was used by the project to help plan for additional capacity so that the performance experienced by customers was likely to remain acceptable.