An Optimized Load Balancing Algorithm of Dynamic Feedback Based on Stimulated Annealing

• 作者: Wang Kan Zhang Huyin
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: Servercluster LOADBALANCING Dynamicfeed-back Stimulated ANNEALING OPTIMIZATION
• 年，卷（期）: 2016,（1）
• 页码范围: 51-53
• 页数: 3页
• 分类号: C5

摘要

This article analyzed advantages and shortages of classical load balancing algorithms based on dynamic feed-back on server cluster, and combined stimulated annealing with this strategy to put forward an optimized model of dynamic load balancing. This model uses stimulated annealing algorithm to calculate accurate performance parameters of load information on every service node, then estimates the actual load of nodes by dynamic feed-back, in order to insure tasks distribution reasonable. Experimental result shows that in the case of large amount of requests, this algorithm, in comparison with classical load balancing strategy of dynamic feedback, can effectively reduce response time of tasks and ensure high throughput which could improve the whole system performance.