Title :
Web server workload forecasting in fuzzy environment - linguistic approach
Author :
Cheong, Chin Wen ; Way, Chong Chee ; Ramachandran, V.
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ., Selangor, Malaysia
Abstract :
Web server workload forecasting is one of the essential considerations in Web server management and network upgrading. Due to variability of server workload distribution originated from unpredictable users´ surfing behavior, the measurement of Web server performance metrics are characterized and modeled in fuzzy manner. A fuzzy inference system is formed using four Web server performance metrics and a server utilization index are derived to determine the servers´ utilization states for every time period. A fuzzy Markov model is proposed to illustrate the state transitions of server resource utilization based on expert linguistic evaluation of stationary transition probability. A steady state algorithm is applied to explore the convergence of server resource utilization after n transition periods
Keywords :
Internet; Markov processes; computer network management; fuzzy logic; knowledge based systems; network servers; performance evaluation; Markov chain; Web server managemen; Web server workload forecasting; fuzzy Markov model; fuzzy environment; fuzzy inference system; fuzzy logic; linguistic approach; network upgrading; performance metrics; server performance metric; server resource utilization; server utilization index; server workload distribution; state transitions; stationary transition probability; steady state algorithm; user surfing behavior; Artificial intelligence; Artificial neural networks; Delay; Economic forecasting; Fuzzy logic; Information technology; Measurement; Resource management; Web server; World Wide Web;
Conference_Titel :
TENCON 2000. Proceedings
Conference_Location :
Kuala Lumpur
Print_ISBN :
0-7803-6355-8
DOI :
10.1109/TENCON.2000.893690
