DocumentCode :
12123
Title :
Distributed Web Systems Performance Forecasting Using Turning Bands Method
Author :
Borzemski, Leszek ; Kaminska-Chuchmala, Anna
Author_Institution :
Inst. of Inf., Wroclaw Univ. of Technol., Wroclaw, Poland
Volume :
9
Issue :
1
fYear :
2013
fDate :
Feb. 2013
Firstpage :
254
Lastpage :
261
Abstract :
With the increasing development of distributed computer systems (DCSs) in networked industrial and manufacturing applications on the World Wide Web (WWW) platform, including service-oriented architecture and Web of Things QoS-aware systems, it has become important to predict the Web performance. In this paper, we present Web performance prediction in time and in space by making a forecast of a Web resource downloading using the Turning Bands (TB) geostatistical simulation method. Real-life data for the research were obtained in an active experiment conducted by our multi-agent measurement system MWING performing monitoring of a group of Web servers worldwide from agents localized in different geographical localizations in Poland. The results show good quality of Web performance prediction made by means of the TB method, especially in the case when European Web servers were monitored by an MWING agent localized in Gliwice, Poland.
Keywords :
Internet; distributed processing; file servers; multi-agent systems; quality of service; service-oriented architecture; DCS; Gliwice; MWING; Poland; TB; WWW; Web of things QoS-aware systems; Web servers; World Wide Web platform; distributed Web systems performance forecasting; distributed computer systems; geographical localizations; manufacturing applications; multiagent measurement system; networked industrial applications; service-oriented architecture; turning bands geostatistical simulation method; Forecasting; Monitoring; Protocols; Turning; Web servers; Geostatistics; Web of Things (WoT); Web performance forecasting; networked distributed computer systems; spatio-temporal prediction;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2012.2198664
Filename :
6198331
Link To Document :
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