DocumentCode :
3243168
Title :
An efficient load balancing strategy for scalable WAP gateways
Author :
Lin, Te-Hsin ; Wang, Kuochen
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2002
fDate :
17-20 Dec. 2002
Firstpage :
625
Lastpage :
630
Abstract :
In this paper, we propose a load balancing strategy that has the following features: (1) estimating the potential load of real gateways with low computation and no communication overhead, (2) asynchronous alarm sent when the utilization of a real gateway exceeds a critical threshold, and (3) WAP-awareness. We also propose a scalable WAP gateway (SWG) that consists of a WAP dispatcher and a cluster of real gateways. The WAP dispatcher is a front-end distributor with our load balancing strategy. To prevent the WAP dispatcher from becoming a bottleneck, the WAP dispatcher distributes mobile clients´ requests in kernel space and does not process outgoing gateway-to-client responses. Experimental results show that our SWG has better load balancing performance, throughput, and delay compared to the LVS and the Kannel gateway. Although WAP services are not so popular as expected, our load balancing strategy, can be easily adapted to other distributed services.
Keywords :
Internet; client-server systems; mobile communication; network servers; resource allocation; Kannel gateway; WAP dispatcher; WAP-awareness; asynchronous alarm; delay; distributed services; efficient load balancing strategy; front-end distributor; gateway cluster; kernel space; mobile client requests; scalable WAP gateways; throughput; Access protocols; Delay; Discussion forums; Information science; Kernel; Load management; Reluctance generators; Scalability; Wireless application protocol; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Systems, 2002. Proceedings. Ninth International Conference on
ISSN :
1521-9097
Print_ISBN :
0-7695-1760-9
Type :
conf
DOI :
10.1109/ICPADS.2002.1183480
Filename :
1183480
Link To Document :
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