云计算环境下基于遗传算法的任务调度技术研究  

Research of Task Scheduling Based on Genetic Algorithm Technology in Cloud Computing Environment

作　　者：马俊涛[1] 陈业恩 胡国杰[3] 严丽丽[2] 

机构地区：[1]海南软件职业技术学院信息管理系 [2]海南软件职业技术学院软件工程系 [3]海南软件职业技术学院图书馆,海南琼海571400

出　　处：《软件导刊》2016年第1期51-53,共3页Software Guide

基　　金：海南省自然科学基金资助项目(614242)

摘　　要：遗传算法是一种通过模拟自然进化过程搜索最优解的方法。目前,将遗传算法作为云计算环境下的任务调度算法已逐渐成为研究热点。云计算作为一种全新的分布式计算模式,通过网络将大量分散资源按用户所需进行分配,其实施资源分配、任务调度的技术将直接决定"云计算"性能的高低。探讨当前云计算中基于遗传算法的任务调度技术研究现状及有待解决的问题,为进一步研究指出方向。Genetic algorithm is a method of searching the optimal solution process by simulating natural evolution, at pres- ent, the genetic algorithm as the cloud computing task scheduling environment has gradually become a hot topic, cloud computing as a new distributed computing model, its the large number of dispersed resources through the network needed to be allocated by the user, the implementation of resource allocation, task scheduling technology will directly determine their ＂cloud computing＂ the level of performance. This paper discusses cloud computer task scheduling algorithm based on the current status of research on genetic algorithms, problems and issues to be resolved, as furtherpointed out the direction of further research.

关 键 词：云计算 遗传算法 任务调度 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]