高校云数据中心基于蚁群算法的资源调度分析

Analysis of Resource Scheduling Based on Ant Colony Algorithm for University Cloud Data Center

高校在建设云数据中心的过程中,以云计算方式为重要支持,能够有效解决传统计算模式下数据处理效果不佳的问题,更为高效、集中、统一管理数据和资源,支持高校各个职能部门共享数据与信息。本文从分析高校云数据中心构建活动入手,着重说明了云计算的内涵和高校云数据中心建设目标,介绍了云计算数据中心的内容,阐释了蚁群算法在高校云数据中心的运用情况,还提出了改进蚁群算法实现资源调度目标的实施策略。经过仿真测试得出蚁群算法能够有效处理大型数据任务的结论。

In the process of building cloud data center in Colleges and universities,taking cloud computing as an important support can effectively solve the problem of poor data processing effect under the traditional computing mode,manage data and resources more efficiently,centralize and unify,and support all functional departments of colleges and universities to share data and information.Starting from the analysis of the construction activities of cloud data center in Colleges and universities,this paper focuses on the connotation of cloud computing and the construction goal of University cloud data center,introduces the content of cloud computing data center,explains the application of ant colony algorithm in University cloud data center,and puts forward the implementation strategy of improving ant colony algorithm to achieve the goal of resource scheduling.After the simulation test,it is concluded that ant colony algorithm can effectively deal with large data tasks.