Task Scheduling and Resource Allocation of Cloud Computing Based on QoS

Author:

Pan Bai Lin1,Wang Yan Ping1,Li Han Xi1,Qian Jie1

Affiliation:

1. Hangzhou Cigarette Factory of China Tobacco Zhejiang Industrial Co., LTD

Abstract

With the enlargement of the scope of cloud computing application, the number of users and types also increases accordingly, the special demand for cloud computing resources has also improved. Cloud computing task scheduling and resource allocation are key technologies, mainly responsible for assigning user jobs to the appropriate resources to perform. But the existing scheduling algorithm is not fully consider the user demand for resources is different, and not well provided for different users to meet the requirements of its resources. As the demand for quality of service based on cloud computing and cloud computing original scheduling algorithm, the computing power scheduling algorithm is proposed based on the QoS constraints to research the cloud computing task scheduling and resource allocation problems, improving the overall efficiency of cloud computing system.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference5 articles.

1. R. Buyya, C.S. Yeo, and S. Venugopal: Future Generation computer systems, Vol. 25(2009) No. 6, p.599.

2. G. Wei, A.V. Vasilakos, and Y. Zheng: The Journal of Supercomputing, Vol. 54(2010) No. 2, p.252.

3. Y. Fang, and F. Wang, Ge J. Web Information Systems and Mining (Springer Berlin Heidelberg, 2010), p.271.

4. Q. Zhang, L. Cheng, and R. Boutaba: Journal of internet services and applications, Vol. 1(2010) No. 1, p.7.

5. M.D. Dikaiakos, D. Katsaros, and P. Mehra: Internet Computing, Vol. 13(2009) No. 5, p.10.

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3