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DOI:
计算机系统应用英文版:2012,21(11):54-57,115
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基于云自适应遗传算法的LVS 负载均衡改进算法
(福州大学 数学与计算机科学学院, 福州 350108)
Improved LVS Load Balancing Algorithm Based on Cloud Adaptive Genetic Algorithm
(College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108, China)
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Received:March 06, 2012    Revised:April 07, 2012
中文摘要: 针对LVS 系统存在负载倾斜问题, 改进了系统中带权值参数的负载均衡算法. 先通过服务器节点反馈的参数计算出服务器节点的负载, 再采用云自适应遗传算法根据负载为各服务器节点分配权值, 进而实现改进算法. 实验证明, 改进算法比传统算法提高约10%的性能, 可使系统有效地实现动态负载均衡.
Abstract:Aimed at the problem of load skew in LVS system, this article improves load balancing algorithm with weight parameter of system. It first calculates server node’s load according to parameters fedback by server node, then distributes weight to every server node according to its load by using cloud adaptive genetic algorithm, further realizes the improved algorithm. Experiment shows that, the improved algorithm is better about 10% than traditional algorithm in performance, and can make the system effectively realize dynamic load balancing.
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基金项目:国家自然科学基金(61075022)
引用文本:
郭洪,王监梁.基于云自适应遗传算法的LVS 负载均衡改进算法.计算机系统应用,2012,21(11):54-57,115
GUO Hong,WANG Jian-Liang.Improved LVS Load Balancing Algorithm Based on Cloud Adaptive Genetic Algorithm.COMPUTER SYSTEMS APPLICATIONS,2012,21(11):54-57,115