A Hierarchical Framework for Modeling and Forecasting Web Server Workload

1 September 2005

journal article
Published by Taylor & Francis in Journal of the American Statistical Association

Vol. 100 (471) , 748-763
https://doi.org/10.1198/016214505000000565

Abstract

Proactive management of web server farms requires accurate prediction of workload. An exemplary measure of workload is the amount of service requests per unit time. As a time series, the workload e...

Keywords

ADAPTIVE
AUTOREGRESSIVE
COMPUTER NETWORK
FILTERBANK
HEAVY TAIL
HETEROSCEDASTICITY
NON-GAUSSIAN
NONSTATIONARY
SEASONAL TIME SERIES
UTILITY COMPUTING
WEB TRAFFIC

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ACM Transactions on Internet Technology, 2001
Internet Web servers: workload characterization and performance implications
IEEE/ACM Transactions on Networking, 1997
Time series models for internet traffic
Published by Institute of Electrical and Electronics Engineers (IEEE) ,1996