[1]赵 莉.基于改进布谷鸟搜索算法的云计算资源调度[J].南京理工大学学报(自然科学版),2016,40(04):472.[doi:10.14177/j.cnki.32-1397n.2016.40.04.016]
 Zhao Li.Cloud computing resource scheduling based on modified cuckoo search algorithm[J].Journal of Nanjing University of Science and Technology,2016,40(04):472.[doi:10.14177/j.cnki.32-1397n.2016.40.04.016]
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基于改进布谷鸟搜索算法的云计算资源调度
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
40卷
期数:
2016年04期
页码:
472
栏目:
出版日期:
2016-08-29

文章信息/Info

Title:
Cloud computing resource scheduling based on modified cuckoo search algorithm
文章编号:
1005-9830(2016)04-0472-05
作者:
赵 莉
信阳农林学院 信息工程学院,河南 信阳 464000
Author(s):
Zhao Li
College of Information Engineering,Xinyang College of Agriculture and Forestry,Xinyang 464000,China
关键词:
云计算 资源调度 布谷鸟搜索算法 调度方案 安全等级
Keywords:
cloud computing resource scheduling cuckoo search algorithm scheduling scheme security level
分类号:
TP391
DOI:
10.14177/j.cnki.32-1397n.2016.40.04.016
摘要:
针对当前云计算资源调度方法存在的耗时长、开销大等难题,提出了改进布谷鸟搜索算法的云计算任务调度方法。首先对当前云计算资源调度研究现状进行分析,根据安全强度和用户需求分别赋予虚拟机和安全需求不同等级,其次采用改进布谷鸟搜索算法对云计算资源调度问题进行求解,最后在CloudSim平台上进行了仿真实验。结果证明,该文方法获得了理想的云计算资源调度方案,调度性能要优于其他云计算资源调度方法,验证了该文方法有效性和优越性。
Abstract:
In view of the time-consuming length of the current cloud computing resource scheduling and the high overhead problem,this paper proposes a novel cloud computing task scheduling method based on a modified cuckoo search algorithm.The current cloud computing resource scheduling research present situation is analysed.Different levels of virtual machine and security needs are obtained according to the intensity of security and user demand.Modified cuckoo search algorithm is used to solve the problem of the cloud computing resource scheduling.The simulation experiments are carried out in CloudSim platform.The results show that the proposed method can obtain good scheduling scheme for cloud computing resources,and scheduling performance is superior to other cloud computing resources scheduling methods,which verify the effectiveness and superiority of the proposed method.

参考文献/References:

[1] 田文洪,赵勇.云计算—资源调度管理[M].北京:国防工业出版社,2011.
[2]Abrishami S,Naghibzadeh M,Epema D H J.Deadline-con strained workflow scheduling algorithms for infrastructure as a service clouds[J].Future Generation Computer Systems,2013,29(1):158-169.
[3]Liu K,Jin H,Chen J,et al.A compromised-time-costs scheduling algorithm in swindew-c for instance-intensive cost-con-strained workflows on a cloud computing platform[J].International Journal of High Performance Computing Applications,2010,24(4):445-456.
[4]Rao J,Wei Y,Gong J,et al.QoS guarantees and service differentiation for dynamic cloud applications[J].IEEE Transactions on Network and Service Management,2013,10(1):43-55.
[5]Wu Z,Liu X,Ni Z,et al.A market-oriented hierarchical scheduling strategy in cloud workflow systems[J].The Journal of Super Computing,2013,63(1):256-293.
[6]Ergu D,Kou G,Peng Y,et al.The analytic hierarchy process:Task scheduling and resource allocation in cloud computing environment[J].The Journal of Super Computing,2013,64(3):1-14.
[7]申京,吴晨光,郝洋,等.面向云计算数据中心的弹性资源调整方法[J].南京理工大学学报,2015,39(1):33-36.
Shen Jing,Wu Chenguang,Hao Yang,et al.Elastic resource adjustment method for cloud computing data center[J].Journal of Nanjing University of Science and Technology,2015,39(1):33-36.
[8]黄纬,温志萍,程初.云计算中基于K-均值聚类的虚拟机调度算法研究[J].南京理工大学学报,2013,20(1):55-56.
Huang Wei,Wen Zhiping,Cheng Chu.Research on virtual machine scheduling algorithm based on K-mean clustering in cloud computing[J].Journal of Nanjing University of Science and Technology,2013,20(1):55-56.
[9]Valian E,Tavakoli S,Mohanna S,et al.Improved cuckoo search for reliability optimization problems[J].Computer & Industrial Engineering,2013,64(1):456-468.
[10]韩海雯.MapReduce计算任务调度的资源配置优化研究[D].广州:华南理工大学计算机科学与技术学院,2013.
[11]张水平,邬海艳.基于元胞自动机遗传算法的云资源调度[J].计算机工程,2012,38(6):11-13.
Zhang Shuiping,Wu Haiyan.Cloud resource scheduling based on cellular automaton genetic algorithm[J].Computer Engineering,2012,38(6):11-13.
[12]锦明.云计算中基于NSGAII的虚拟资源调度算法[J].计算机工程与设计,2012,33(4):1452-1455.
Jin Ming.Virtual resource scheduling algorithm based on NSGAII in cloud computing[J].Computer Engineering and Design,2012,33(4):1452-1455.
[13]Yang X S,Deb S.Engineering optimisation by Cuckoo search[J].International Journal of Mathematical Modeling and Numerical Optimisation,2010,1(4):330-343.
[14]任崇广.面向海量数据处理领域的云计算及其关键技术研究[D].南京:南京理工大学计算机科学与工程学院,2013.
[15]魏士祥.面向过程感知的云作业资源调度[D].南京:南京理工大学计算机科学与工程学院,2014.

相似文献/References:

[1]黄 纬,温志萍,程 初.云计算中基于K-均值聚类的虚拟机调度算法研究[J].南京理工大学学报(自然科学版),2013,37(06):807.
 Huang Wei,Wen Zhiping,Cheng Chu.Virtual machine scheduling algorithm based on K-means clustering in cloud computing[J].Journal of Nanjing University of Science and Technology,2013,37(04):807.
[2]申 京,吴晨光,郝 洋,等.面向云计算数据中心的弹性资源调整方法[J].南京理工大学学报(自然科学版),2015,39(01):89.
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备注/Memo

备注/Memo:
收稿日期:2016-02-05 修回日期:2016-06-14
基金项目:河南省教育厅科学技术研究重点项目(16A520091)
作者简介:赵莉(1973-),女,讲师,主要研究方向:云计算,Moodle,软件开发,E-mail:menger030302@163.com。
引文格式:赵莉.基于改进布谷鸟搜索算法的云计算资源调度[J].南京理工大学学报,2016,40(4):472-476.
投稿网址::http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2016-06-30