Research on virtual machine resources dynamic allocation method based on revenue in cloud computing

被引：0

作者：

Guo, Jun ^{[1
]}

Wu, Junkui ^{[1
]}

Liu, Qiang ^{[1
]}

Yan, Yongming ^{[1
]}

Zhang, Bin ^{[1
]}

机构：

[1] College of Information Science and Engineering, Northeastern University

来源：

Guo, J. (guojun@mail.neu.edu.cn) | 1600年 / Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States卷 / 09期

关键词：

Allocate resource dynamically; Cloud computing; Maximize the revenue;

D O I：

10.12733/jcis8520

中图分类号：

学科分类号：

摘要：

In order to improve the utilization of the computing resources, to allocate resource to the virtual machine effectively and dynamically, and at the same time, to maximize the revenue that the cloud resources provider obtained. A dynamic allocation process of the virtual machine in cloud environment based on revenue is presented. This method can improve the utilization of resources that allocated to the client service which running on the virtual machine, meanwhile, meet the terms of the cloud resources provider's biggest benefit. For the resource allocation method, the thesis adopts basis cloud computing platform hadoop to do the experience to verify the method is effective and feasible. © 2013 Binary Information Press.

引用

页码：9235 / 9242

页数：7

共 10 条

[1]

Chen K., Zhang W.-M., Cloud computing: System instances and current research, Journal of Software, 20, 5, pp. 1337-1348, (2009)

[2]

Zeng Y., Kang F., Yang H., Visualization algorithm of realistic terrain based on adaptive multiple-features fusion, Journal of Computational Information Systems, 9, 12, pp. 4647-4654, (2013)

[3]

Wang D., Wang C., Real-time GPU-based simulation of dynamic terrain in virtual battlefield, Journal of Computational Information Systems, 7, 6, pp. 1924-1933, (2011)

[4]

Marbukh V., Mills K., Demand pricing and resource allocation in market-based compute grids: A model and initial results, ICN'08: Proceedings of the Seventh International Conference on Networking, pp. 752-757, (2008)

[5]

Jung G., Sim K.M., Location-aware dynamic resource allocation model for cloud computing environment, Proceedings of 2012 International Conference on Information and Computer Applications (ICICA), 24, (2012)

[6]

Xiaoyun Z., Zhikui W., Singhal S., Utility-driven workload management using nested control design, American Control Conference, 6, (2006)

[7]

Hu W., Zheng J., Zhou Y., A computing capability allocation algorithm indelicate granularity for cloud environment, Proceedings of 2011 4th IEEE International Conference on Computer Science and Information Technology (ICCSIT 2011), 4, (2011)

[8]

Yu J., Zong P., Dynamic resource allocation scheme under traffic condition in satellite systems, Journal of Electronics (CHINA), 29, (2012)

[9]

Ludwig H., A service level agreement language for dynamic electronic services, Electronic Commerce Research, 3, 1-2, pp. 43-59, (2003)

[10]

Wu G., Luo H., The application of several gray models in prediction of electricity consumption in rural areas, Proceedings of 2011 International Conference on Business Management and Electronic Information (BMEI 2011), 4, (2011)

← 1 →