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J4  2010, Vol. 44 Issue (4): 738-742    DOI: 10.3785/j.issn.1008-973X.2010.04.020
杨小虎, 李珏峰
浙江大学 计算机科学与技术学院,浙江 杭州 310027
Optimizing SOA performance in multinetwork environment based on
hillclimbing clustering algorithm
YANG Xiao-hu, LI Jue-feng
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
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A networking performance model and the hillclimbing clustering algorithm for deployment optimization were introduced to improve the service oriented architecture (SOA) performance based on the connectivity strength with parameter and frequency (CSWPF) and the deployment space. CSWPF provides the performance measurement by calculating the communication cost per unit time; and the deployment spaces define Web services deployment possibility in different subnetworks according to the business logic. In the deployment spaces, the hillclimbing clustering algorithm tries different possible deployment solutions to achieve the object of internetwork flow reduction based on CSWPF. Simulation shows that the nearly best optimization solution can be obtained quickly. Project experiment shows that this algorithm can improve the system performance by reducing the network traffic.

出版日期: 2010-05-14
:  TP311.5  
通讯作者: 李珏峰,男,博士生.     E-mail:
作者简介: 杨小虎(1966—),男,浙江绍兴人,研究员,主要从事软件工程研究. E-mail:
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杨小虎, 李珏峰. 多网络环境下基于爬山聚类算法的SOA性能优化[J]. J4, 2010, 44(4): 738-742.

YANG Xiao-Hu, LI Jue-Feng. Optimizing SOA performance in multinetwork environment based on
hillclimbing clustering algorithm. J4, 2010, 44(4): 738-742.


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