Title :
Predicting Service Execution Time towards a Runtime Monitoring Approach
Author :
Xinglong Ju ; YouXiang Duan ; Cheng Ma ; Haiyan Ju
Author_Institution :
Coll. of Comput. & Commun. Eng., China Univ. of Pet. (East China), Qingdao, China
Abstract :
This paper presents a prediction method for Web services execution time based on monitoring service data collected at runtime. The prediction method is called RHDB (recent history data based) method and is based on Pareto´s law and statistical regularity. By comparing XM method, mean method, local mean method and RHDB method proposed in this paper, the conclusion is that RHDB method has better prediction result.
Keywords :
Pareto distribution; Web services; statistical analysis; system monitoring; Pareto law; RHDB method; Web service execution time; XM method; local mean method; monitoring service data; recent history data based method; runtime monitoring; service execution time prediction; statistical regularity; History; Monitoring; Prediction methods; Quality of service; Registers; Runtime; Web services; QoS; Web services; execution time; predict;
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location :
Beijing
DOI :
10.1109/CyberC.2013.43
