[1]查安民[],谭文安[][]. 融合粒子群与蚁群的云计算任务调度算法[J].计算机技术与发展,2016,26(08):24-29.
　ZHA An-min[],TAN Wen-an[][]. A Task Scheduling Algorithm of Cloud Computing Merging Particle Swarm Optimization and Ant Colony Optimization[J].,2016,26(08):24-29.
点击复制

 融合粒子群与蚁群的云计算任务调度算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年08期
页码:
24-29
栏目:
智能、算法、系统工程
出版日期:
2016-08-10

文章信息/Info

Title:
 A Task Scheduling Algorithm of Cloud Computing Merging Particle Swarm Optimization and Ant Colony Optimization
文章编号:
1673-629X（2016)08-0024-06
作者:
 查安民[1];  谭文安[1][2]
 1.南京航空航天大学 计算机科学与技术学院；2.上海第二工业大学 计算机与信息学院
Author(s):
 ZHA An-min[1] ; TAN Wen-an[1][2]
关键词:
 ; 云计算; 任务调度; 粒子群优化; 蚁群优化
Keywords:
 ; cloud computing; task scheduling; PSO; ACO
分类号:
TP301.6
文献标志码:
A
摘要:
 在云计算环境中用户数量众多，用户提交的任务总量非常庞大，如何调度这些海量任务使其高效合理地完成成为云计算研究的关键。针对云计算环境的特点，对粒子群和蚁群算法进行改进，提出一种融合二者的任务调度算法。该算法采用粒子群算法进行前期迭代，迭代完成后选取一定数量的优良粒子生成蚁群算法的初始信息素，蚁群算法利用已生成的初始信息素进行后期迭代，并求得最终的任务调度结果。仿真结果表明，该算法优于粒子群算法和蚁群算法，任务的总完成时间明显减少，是一种高效的调度算法。
Abstract:
 In cloud computing environment,there are a large number of users and tasks to be submitted by users. In order to make these tasks to be completed efficiently,how to schedule the tasks becomes the key of cloud computing. According to characteristics of cloud computing environment,improving Particle Swarm Optimization ( PSO) and Ant Colony Optimization ( ACO) ,a task scheduling algo-rithm combining PSO with ACO. It uses PSO to carry out the previous iteration,and selects a certain number of fine particles to generate the initial pheromone of ACO which carries out the post iteration by it,and then the final task scheduling result is obtained. The simulation shows that the algorithm is better than PSO and ACO,and decreases the total task completion time. It is an effective task scheduling algo-rithm.

相似文献/References:

[1]王茜,朱志祥,史晨昱,等.应用于数据库安全保护的加解密引擎系统[J].计算机技术与发展,2014,24(01):143.
　WANG Qian[],ZHU Zhi-xiang[],SHI Chen-yu[],et al.Encryption and Decryption Engine System Applying to Database Security and Detection[J].,2014,24(08):143.
[2]陈丹伟 黄秀丽 任勋益.云计算及安全分析[J].计算机技术与发展,2010,(02):99.
　CHEN Dan-wei,HUANG Xiu-li,REN Xun-yi.Analysis of Cloud Computing and Cloud Security[J].,2010,(08):99.
[3]孙放 陈云芳 林杭锋.适用于富客户端的云计算模型[J].计算机技术与发展,2010,(08):96.
　SUN Fang,CHEN Yun-fang,LIN Hang-feng.Cloud Computing Model Applicable to Rich Client Applications[J].,2010,(08):96.
[4]郭苑 张顺颐 孙雁飞.物联网关键技术及有待解决的问题研究[J].计算机技术与发展,2010,(11):180.
　GUO Yuan,ZHANG Shun-yi,SUN Yan-fei.Research of Key Technologies and Unresolved Questions of Internet of Things[J].,2010,(08):180.
[5]李玲娟 张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,(02):43.
　LI Ling-juan,ZHANG Min.Research on Algorithms of Mining Association Rule under Cloud Computing Environment[J].,2011,(08):43.
[6]王德政 申山宏 周宁宁.云计算环境下的数据存储[J].计算机技术与发展,2011,(04):81.
　WANG De-zheng,SHEN Shan-hong,ZHOU Ning-ning.Data Storage in Cloud Computing Environment[J].,2011,(08):81.
[7]宋丽华 姜家轩 张建成 田长录 马文征.黄河三角洲云计算平台关键技术的研究[J].计算机技术与发展,2011,(06):40.
　SONG Li-hua,JIANG Jia-xuan,ZHANG Jian-cheng,et al.Research of Key Technologies of Cloud Computing of Yellow River Delta[J].,2011,(08):40.
[8]田宏伟 解福 倪俊敏.云计算环境下基于粒子群算法的资源分配策略[J].计算机技术与发展,2011,(12):22.
　TIAN Hong-wei,XIE Fu,NI Jun-min.Resource Allocation Algorithm Based on Particle Swarm Algorithm in Cloud Computing Environment[J].,2011,(08):22.
[9]张慧 邢培振.云计算环境下信息安全分析[J].计算机技术与发展,2011,(12):164.
　ZHANG Hui,XING Pei-zhen.Information Security Analysis in Cloud Computing Environment[J].,2011,(08):164.
[10]张建成[] 宋丽华[] 鹿全礼[] 郭锐[] 刘永泉[].云计算方案分析研究[J].计算机技术与发展,2012,(01):165.
　ZHANG Jian-cheng,SONG Li-hua,LU Quan-li,et al.Study and Analysis of Cloud Computing Procedure[J].,2012,(08):165.
[11]王雷,陈彦先,袁哲,等. 面向预拌混凝土行业的云计算[J].计算机技术与发展,2014,24(08):14.
　WANG Lei,CHEN Yan-xian,YUAN Zhe JI Xu. Research on Cloud Computing for Ready-mixed Concrete Industry[J].,2014,24(08):14.
[12]殷小龙,李君,万明祥. 云环境下基于改进NSGA II的虚拟机调度算法[J].计算机技术与发展,2014,24(08):71.
　YIN Xiao-long,LI Jun,WAN Ming-xiang. Virtual Machines Scheduling Algorithm Based on Improved NSGA II in Cloud Environment[J].,2014,24(08):71.
[13]张也弛,周文钦,石润华. 一种面向云的大数据完整性检测协议[J].计算机技术与发展,2014,24(09):68.
　ZHANG Ye-chi,ZHOU Wen-qin,SHI Run-hua. A Big Data Integrity Checking Protocol for Cloud[J].,2014,24(08):68.
[14]徐源吾[][],王珣[][]. 基于Hadoop的智能家居信息处理平台[J].计算机技术与发展,2014,24(09):183.
　XU Yuan-wu[] [],WANG Xun[][]. nformation Processing Platform of Smart Home Based on Hadoop[J].,2014,24(08):183.
[15]谢福伟,梁昌勇,马银超. 基于云计算的景区数据仓库应用研究[J].计算机技术与发展,2014,24(09):198.
　XIE Fu-wei,LIANG Chang-yong,MA Yin-chao. Research on Data Warehouse Application of Tourist Areas Data Based on Cloud Computing[J].,2014,24(08):198.
[16]孙滔,王杉,邢军. 文献共享系统和数据共享系统的云计算平台建设[J].计算机技术与发展,2014,24(09):206.
　SUN Tao,WANG Shan,XING Jun. Construction of Cloud Computing Platform of Sci-tech Literature Sharing System and Data Sharing System[J].,2014,24(08):206.
[17]周文琼[],王乐球[],郑述招[]. 云环境下的数据库扩展策略的设计[J].计算机技术与发展,2014,24(09):213.
　ZHOU Wen-qiong[],WANG Le-qiu[],ZHENG Shu-zhao[]. Design of Database Expansion Strategy under Cloud Computing[J].,2014,24(08):213.
[18]申侃,梁昌勇,赵树平. 基于云的MIS开放式体系结构[J].计算机技术与发展,2014,24(10):21.
　SHEN Kan,LIANG Chang-yong,ZHAO Shu-ping. Open Architecture of MIS Based on Cloud[J].,2014,24(08):21.
[19]王霞俊. 云环境下一种基于能耗感知的虚拟机部署算法[J].计算机技术与发展,2014,24(10):88.
　WANG Xia-jun. A Virtual Machine Allocation Algorithm Based on Power-aware in Cloud Computing[J].,2014,24(08):88.
[20]孟蒙,茅苏. 基于云计算的可反馈负载均衡策略的研究[J].计算机技术与发展,2014,24(10):135.
　MENG Meng,MAO Su. Study on Feedback Load Balancing Strategy Based on Cloud Computing[J].,2014,24(08):135.

更新日期/Last Update: 2016-09-29