云中基于蚁群算法改进的负载均衡策略

发布时间：2019-07-26 08:54

【摘要】：针对云计算虚拟化资源中,提高资源利用率、负载均衡度的问题,在蚁群算法的基础上,提出云中节点间负载均衡的改进算法。前向蚂蚁检测节点的类型、记录节点信息,遇到负载节点时留下觅食信息素;后向蚂蚁依据循迹信息素追溯回负载节点,合理分配超载节点任务。所有蚂蚁不再更新自己的结果集,而是致力于更新单个结果集,在搜索过程中依据节点类型动态地修改路径信息素。在Cloudsim平台下进行的仿真实验验证了改进算法的有效性。
[Abstract]:In order to improve the resource utilization and load balance in cloud computing virtualization resources, an improved load balancing algorithm between nodes in the cloud is proposed on the basis of ant colony algorithm. The forward ant detects the type of the node, records the node information, and leaves the foraging pheromone when the load node is encountered. The backward ant traces back to the load node according to the trace pheromone, and reasonably allocates the task of the overload node. Instead of updating their own result sets, all ants are committed to updating a single result set and dynamically modifying path pheromones according to the node type during the search. The simulation results on Cloudsim platform verify the effectiveness of the improved algorithm.
【作者单位】： 太原理工大学计算机科学与技术学院;
【基金】：山西省科技攻关基金项目(20120321024-02)
【分类号】：TP18;TP3
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本文编号：2519465