DocumentCode
655000
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
fYear
2013
fDate
10-12 Oct. 2013
Firstpage
221
Lastpage
224
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2013 International Conference on
Conference_Location
Beijing
Type
conf
DOI
10.1109/CyberC.2013.43
Filename
6685684
Link To Document