DocumentCode
2087129
Title
Research on self-adaptive load balancing in EJB clustering system
Author
Liu, Yong ; Wang, Lushan ; Li, Shaozi
Author_Institution
Coll. of Electron. Inf. Eng., Henan Univ. of Sci. & Technol., Luoyang, China
Volume
1
fYear
2008
fDate
17-19 Nov. 2008
Firstpage
1388
Lastpage
1392
Abstract
Load balancing has become an issue which should be focused on. Existing researches on load balancing, however, have their inadequacies, such as only supporting simply static methods in many of main J2EE application servers without dynamic nature and adaptive ability. In view of the deficiency above, a secondary positioning self-adaptive method is presented in this paper, and according to the idea of modular and plug-in design in JBoss, this load balancing method is implemented on the form of MBean and has been embedded in JBoss. In addition, using the design pattern of interceptor and proxy decision-making mechanism, two chains of interceptor are designed and realized so that load balancing support a double-level positioning for a request. The performance of this method is tested in JBoss at last, and the results show this method can balance the workloads effectively. Moreover, this method can be served as a reference for realizing self-adaptive load balancing.
Keywords
Java; decision making; resource allocation; EJB clustering system; Enterprise Java Bean; J2EE application servers; JBoss; Java 2 Enterprise Edition; MBean; interceptor; proxy decision-making mechanism; self-adaptive load balancing; Cognitive science; Decision making; Educational institutions; Intelligent systems; Java; Knowledge engineering; Load management; Quality of service; Round robin; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-2196-1
Electronic_ISBN
978-1-4244-2197-8
Type
conf
DOI
10.1109/ISKE.2008.4731149
Filename
4731149
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