###

计算机系统应用英文版:2020,29(3):11-19

View/Add Comment 过刊浏览高级检索 HTML

←前一篇 | 后一篇→

码上扫一扫！

下载全文

面向云计算的任务调度算法综述

杨戈^1,2,3, 赵鑫¹, 黄静^1,2

(1.北京师范大学珠海分校智能多媒体技术重点实验室, 珠海 519087;2.北京师范大学研究生院珠海分院, 北京 100875;3.北京大学深圳研究生院深圳物联网智能感知技术工程实验室, 深圳 518055)

Survey on Task Scheduling Algorithms for Cloud Computing

YANG Ge^1,2,3, ZHAO Xin¹, HUANG Jing^1,2

(1.Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China;2.Zhuhai Branch, Graduate School, Beijing Normal University, Beijing 100875, China;3.Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Shenzhen 518055, China)

摘要

图/表

参考文献

相似文献

本文已被：浏览 2535次下载 6757次
Received:July 04, 2019 Revised:July 23, 2019

中文摘要: 介绍了云计算，对任务调度在云计算中的地位做了分析，并由任务调度出发，对云计算任务调度算法的研究现状进行分类、梳理和总结.根据调度目标的不同，将算法分为单目标优化的任务调度算法和多目标的任务调度算法，对每类方法的代表性算法进行了分析介绍，并详细总结了每类方法的基本思想，对其优缺点做了分析、对比，并对改进方式进行了归纳.

中文关键词: 云计算静态调度动态调度基于生物启发基于群体智能

Abstract:Cloud computing is one of the emerging industries based on the Internet for commercial calculation model. It provides a quick and easy and reliable access to network resources. Cloud computing is introduced. The task scheduling in cloud computing is analyzed, and the research status of cloud computing task scheduling algorithm are classified and summarized according to different scheduling goal. The task scheduling algorithm can be divided into single objective optimization algorithm and multi-objective task scheduling algorithm. The representative algorithms of each method are analyzed, and the advantages and disadvantages of each algorithm are compared and summarized in detail, and the way of improvement is also inducted.

keywords: cloud computing static scheduling dynamic scheduling biological inspiration swarm intelligence

文章编号： 中图分类号： 文献标志码：

基金项目:国家重点研发项目（2018YFB1308600，2018YFB1308602）；国家自然科学基金（61272364）；广东高校省级重大科研项目（201612008QX，2016KTSCX167，2017KTSCX207，2018KTSCX288）；广东省学科建设专项资金（2013WYXM0122）；广东省自然科学基金（2016A030313384）；广东省大学生创新创业训练计划（201813177028，201813177046）；深圳市科技计划（JCYJ20170303140803747）；广东省大学生科技创新培育专项（pdjh2019b0581）；智能多媒体技术重点实验室（201762005）

引用文本：
杨戈,赵鑫,黄静.面向云计算的任务调度算法综述.计算机系统应用,2020,29(3):11-19
YANG Ge,ZHAO Xin,HUANG Jing.Survey on Task Scheduling Algorithms for Cloud Computing.COMPUTER SYSTEMS APPLICATIONS,2020,29(3):11-19

Author Name	Affiliation	E-mail
YANG Ge	Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China Zhuhai Branch, Graduate School, Beijing Normal University, Beijing 100875, China Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Shenzhen 518055, China	yangge@pkusz.edu.cn
ZHAO Xin	Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China
HUANG Jing	Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China Zhuhai Branch, Graduate School, Beijing Normal University, Beijing 100875, China

Author Name	Affiliation	E-mail
YANG Ge	Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China Zhuhai Branch, Graduate School, Beijing Normal University, Beijing 100875, China Engineering Lab on Intelligent Perception for Internet of Things (ELIP), Shenzhen Graduate School, Peking University, Shenzhen 518055, China	yangge@pkusz.edu.cn
ZHAO Xin	Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China
HUANG Jing	Key Laboratory of Intelligent Multimedia Technology, Beijing Normal University, Zhuhai, Zhuhai 519087, China Zhuhai Branch, Graduate School, Beijing Normal University, Beijing 100875, China