摘要
资源调度作为云资源管理的一个重要手段,直接关系到云计算的整体稳定性和整体效果。由于用户众多并且需求的多样性,导致云计算环境中任务调度的复杂和困难;如果调度算法不好,结果会导致云计算环境中某些节点负载的不均衡,从而与云计算的初衷相违背。本文在研究传统的任务调度算法的基础上,提出一种改进的多因素组合的任务调度算法,该算法能够根据节点当前的状态,动态地调整节点的负载情况,避免节点过度的负载运行。通过大量数据模拟实验表明,该策略能够动态调整云计算中各个节点的负载度,使云计算平台高效率运行。
As an important means of cloud resource management,resource scheduling is directly related to the integral stability and the overall effect of cloud computing.Numerous users and diverse needs cause the complexity and difficulty of task scheduling in cloud computation environment.If the scheduling algorithm is not precise enough,the result will lead to excessive load due to the excessive missions of some nodes in the cloud environment.This paper puts forward an improved task scheduling algorithm by means of researching traditional algorithm.The algorithm can dynamically adjust the load of nodes and avoid the overload operation of nodes according to the current state of nodes.The numerous results of simulation experiment show the strategy can dynamically adjust the load range of each node in cloud computing so that the cloud calculation platform can operate efficiently.
出处
《计算机与现代化》
2013年第7期22-25,共4页
Computer and Modernization
关键词
云计算
任务调度
负载
调度策略
cloud computing
task scheduling
load
scheduling strategy
