面向用户的通用云计算平台负载均衡机制在探寻云计算平台的成本和效用的基础上,由用户根据任务粒度从质量、成本定制云及云联盟资源三方面权重.由云均衡构件发出蚂蚁群搜索云内及云间计算资源.蚁群采用优化算法搜索资源并将信息发回蚁巢,井监视各个计算资源动态变化及时均衡负载,以降低云运营商成本和用户费用,提高云及云联盟的成本效用.将该负载均衡机制应用在自主研发的云计算平台上,实验结果验证了该负载均衡机制的可行性和优越性.%User-oriented general cloud computing platforms load balancing mechanism by the user according to task granularity from quality and in search of cloud computing platform based on the cost and utility, cost custom cloud and cloud alliance resources are customized by weight, issued by the cloud balancing components ants search cloud computing resources in the cloud computing resources. The ant colony optimization algorithm is used to search for resources and the information back to the ant nest , and monitoring the various computational resources dynamic change and load balance, to reduce operators costs and user costs, improve the cloud and the cloud of alliance cost effectiveness. The feasibility and superiorityof of the balancing mechanism are verified on own cloud computing platform.
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