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