By Topic

Balancing workload based on content types for scalable Web server clusters

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Tzung-Shi Chen ; Dept. of Inf. Manage., Chang Jung Univ., Tainan, Taiwan ; Kuo-Lian Chen

With the rapid growth of information stored in worldwide Web servers, searching and capturing data on Internet become a common behavior for us. In order to increase the availability as well as avoid the overload of the single Web server, using Web server cluster is one of main solutions. We take the contents/services types into consideration for balancing workload of Web servers. For different contents requested by clients, the workload for each Web server would be different. Hereby, we focus on proposing a new load balance algorithm for supporting fast response and load balancing for scalable Web server clusters. In addition, we demonstrate our simulation experiments to show that our proposed approach, as compared to existing approaches. This proposed approach can be applied to various applications, especially for resolving e-learning systems with needs of a great deal of requests with different service types simultaneously issued by worldwide users.

Published in:

Advanced Information Networking and Applications, 2004. AINA 2004. 18th International Conference on  (Volume:2 )

Date of Conference:

29-31 March 2004