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作 者:翟玲[1] 沈思[1] 程时星[1] ZHAI Ling;SHEN Si;CHENG Shi-xing(Library Xi'an University of Science and Technology,Xi'an Shanxi 710054,China)
机构地区:[1]西安科技大学图书馆
出 处:《计算机仿真》2019年第7期397-400,440,共5页Computer Simulation
基 金:2018年度陕西省社科界重大理论与现实问题研究项目(2018Z152);陕西省高等教育学会2017年度高等教育科学研究项目(XGH1707)
摘 要:为了更好地对云计算平台下电子信息资源进行管理和分配,需要对资源均衡分配方法进行研究。针对当前方法存在电子信息资源分配请求接受率较低、平均节点和平均链路带宽利用率以及负载均衡度较差的问题,提出了一种基于改进蚁群算法的电子信息资源均衡分配优化方法,通过引入ECMP技术,将云计算平台下流入处理节点的电子信息资源等价于流出处理节点资源作为任务守恒约束条件,以电子信息资源带宽上界作为通信链路容量约束条件,以最小化最大链路带宽利用率作为优化目标函数,建立电子信息资源均衡分配优化模型;在上述建立的电子信息资源均衡分配优化模型基础上,通过添加信息素调节参量对原有的蚁群算法中蚂蚁路径搜索时的转移概率公式、信息素更新公式进行改进,实现了电子信息资源均衡分配优化。仿真结果表明,所提方法能够提高资源分配请求接收效率、较好地平衡节点和链路的资源负载。It is necessary to research the method for balanced allocation of resource. Therefore, this paper presents an optimization method for balanced allocation of electronic information resource based on improved ant colony algorithm. By introducing ECMP technology, the electronic information resource flowing into the processing node in the cloud computing platform was equivalent to the electronic information resource flowing out processing node, which was taken as the task conservation constraint condition. Then, the upper bound of bandwidth of electronic information resource was used as the constraint condition of communication link capacity. Meanwhile, the minimization for maximum link bandwidth utilization was used as optimization objective function to establish the optimization model for balanced allocation of electronic information resource. On this basis, pheromone regulating parameters were added to original ant colony algorithm, so as to improve transfer probability formula and the pheromone update formula during ant path search. Thus, the balanced allocation of electronic information resources was optimized. Simulation results show that the proposed method can improve the receiving efficiency of resource allocation request and balance the resource load between node and link.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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