面向用户的通用云计算平台成本效用

摘要

Through the study of controllable elements of cost utility on cloud computing platform, and from Zhw resource scheduling of hardware and Zpower angle of power, the user-oriented general cloud computing platform cost utility study is adopted by the user according to the task granularity from quality, cost setting clouds and cloud alliance resources. Cloud equalization members send a group of ants to search for computing resources in the cloud and among clouds. Based on path depth, the quantity and quality of available resources, the group of ants adjust the resource information according to the present weight, and send the information back to their nests, while monitoring the various dynamic changes of the computational resources and load balance to reduce the cost of cloud operators and the charge of users and to improve the cost utility of the cloud and cloud alliance. By applying the ant colony optimization algorithm in independent research and development of cloud computing platform, the experimental results verified the feasibility and superiority of the load mechanism.%面向用户的通用云计算平台成本效用研究在通过研究云计算平台的成本和效用的可控构成元素,从硬件的Zhw资源调度和电力的Zpower的角度,采用由用户根据任务粒度从质量、成本设置云及云联盟资源方面权重,由云均衡构件发出蚂蚁群搜索云内及云间计算资源,蚁群根据路径深度、可用资源数量及质量,预设权重调整资源信息并将信息发回蚁巢,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.将该优化蚁群算法应用在自主研发的云计算平台上,实验结果验证了该负载机制的可行性和优越性.