基于随机良构工作流网的工作流进程性能分析

Performance Analysis of Workflow Process Based on Stochastic Well-formed Workflow

工作流进程中的QoS受很多非功能性因素的影响,例如性能、可靠性以及安全性等等。对QoS度量的管理直接影响到参与工作流具体应用的服务能否顺利完成。因此,当服务被工作流或Web进程创建或管理时,底层的工作流引擎必须估计、检测并控制用户的QoS。基于已有的工作流模型分解算法,利用随机良构工作流网的数值分析,给出了分析工作流进程QoS的一种新方法,并结合实例加以验证。

Quality-of-Service（QoS） in workflow processes encompasses various non-functional issues such as perfor-mance,dependability and security,etc.The management of QoS metrics directly impacts the success of services participating in workflow-based applications.Therefore,when services are created or managed using workflows or Web processes,the underlying workflow engine must be able to estimate,monitor,and control the QoS rendered to customers.An approach was given to give QoS of workflow processes based on the decomposing algorism and numerical analysis of stochastic well-formed workflow（SWWF） model.