Immune stability maintenance inspired model of Web services load balance

Author

Fengming Liu ; Haixia Li ; Rongrong Yang ; Yu Liu

Author_Institution

Sch. of Manage. Sci. & Eng., Shandong Normal Univ., Jinan, China

fYear

2013

fDate

23-25 July 2013

Firstpage

649

Lastpage

653

Abstract

Inspired by immune stability maintenance mechanism, a load balance model of Web services is proposed in this study. An immune system-based SOA load balance model is built with multiple-level immune memory units that collect related information. The load balance problem is studied among three types of entities including service requesters, brokers and providers by an optimization model with two phrases. Finally, a multi-agent simulation platform is used to study the capability of load balance of the model. The experiments and analysis show that the model based on the immune system can improve the performance of load balance for Web services and decrease the failure ratio of requests.

Keywords

Web services; multi-agent systems; optimisation; resource allocation; service-oriented architecture; Web services load balance; immune stability maintenance inspired model; immune system-based SOA load balance model; multiagent simulation platform; multiple-level immune memory units; optimization model; Computational modeling; Immune system; Load management; Load modeling; Mathematical model; Service-oriented architecture; Web service; artificial immune system; immune stability maintenance; load balance;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2013 Ninth International Conference on

Conference_Location

Shenyang

Type

conf

DOI

10.1109/ICNC.2013.6818056

Filename

6818056