A Monitoring and Prediction Model of Workflow Based Self-adaptive Software System

摘要：

　　It is critical of self-adaptive software system to monitor all kinds of information in real-time and obtain relevant data of the system to make the system can adjust automatically when necessary.In order to cope with the current market needs and rapidly changing environment,and combine the Web services with self-adaptive software systems perfectly,we proposed a monitoring and prediction model for workflow based self-adaptive system(WSAS for short)based on our previous work,which gives users more flexibility in expressing requirements on the model level,provides dynamic QoS value calculation and prediction at run time,and can both monitors operating status of system in real-time and monitor the context of the system,allowing software systems to better meet users changing needs,and the operating environment changes.We also proposed ratio dependent and variable exponential smooth prediction method for QoS based on above model.Finally through some experiment,it confirms that the prediction method of this paper is feasible and effective.

关键词： Monitor Self-adaptive System QoS Context Exponential Smooth Predict

作者: Xiaowei Zhang Bin Li Junwu Zhu

作者单位: School of Information Engineering,Yangzhou University,Yangzhou,China School of Information Engineering,Yangzhou University,Yangzhou,China;State Key Laboratory for Novel

会议类型: 国际会议

会议名称: 2014 2nd International Conference on Advanced Cloud and Big Data (CBD 2014)(2014年先进云计算和大数据国际会议)

会议地点: 安徽黄山

会议语种:英文

页码: 115-121

在线出版日期: 2014-11-20（万方平台首次上网日期，不代表论文的发表时间）