Volume 36 Issue 6
Jun.  2011
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ZHU Li, SHEN Weiming, LI Rui, XU Shengyong. Genetic Algorithm-Based Dynamic Load Balancing for Server Cluster in Network GIS[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 721-725.
Citation: ZHU Li, SHEN Weiming, LI Rui, XU Shengyong. Genetic Algorithm-Based Dynamic Load Balancing for Server Cluster in Network GIS[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 721-725.
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Genetic Algorithm-Based Dynamic Load Balancing for Server Cluster in Network GIS

  • 1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University, 129 Luoyu Road,Wuhan 430079,China;2 Institute of Image Recognition & Artificial Intelligence,HuaZhong University of Science and Technology,1037 Luoyu Road,Wuhan 430074,China

Funds: 国家973计划资助项目(2004CB318206)；国家自然科学基金资助项目(41071248)
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  • Received Date: April 04, 2011
  • Published Date: June 04, 2011
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    • Abstract
  • In the network geographic information system(network GIS),to improve its quality of service(Qos),we usually use cluster to manager servers,and use load balancing techniques to balance the web loads.We propose a GA-based dynamic load balancing algorithm combined with the existing load balancing methods and the data feather of network GIS.Both the request's content and the state of the server are considered.We also design the ingenious coding and genetic operators of GA accordingly.The experiment's results show that the GA-based load balancing method can reduce response time and bring better service to network GIS compared with other common algorithms.
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