DocumentCode :
3521495
Title :
Research and Design on Web Server Optimization Model
Author :
Guo Xiaoli ; Feng Li ; Guo Ping
Author_Institution :
Sch. of Inf. Eng., Northeast Dianli Univ., Jilin, China
fYear :
2011
fDate :
28-29 May 2011
Firstpage :
1
Lastpage :
4
Abstract :
This paper gives a new performance analysis method, which is through the Markov chain and queuing network model for Web server services thread and queue modeling, computing performance level coefficient, the different performance measurement data through the normalized integration, and presents an intuitive, quantitative results to match the best server configuration parameters. And on this basis we design a new Web server optimization model, with the aid of the historical experience and feedback mechanism to reconfigure the Web server and to achieve its performance adaptive optimization.
Keywords :
Internet; Markov processes; computer network performance evaluation; file servers; optimisation; queueing theory; Markov chain; Web server optimization model; performance analysis method; performance measurement data; queuing network model; server configuration parameter; Markov processes; Monitoring; Optimization; Performance analysis; Time factors; Web servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Applications (ISA), 2011 3rd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9855-0
Electronic_ISBN :
978-1-4244-9857-4
Type :
conf
DOI :
10.1109/ISA.2011.5873397
Filename :
5873397
Link To Document :
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