User Utility Oriented Queuing Model for Resource Allocation in Cloud Environment. (19th November 2015)

• Record Type: Journal Article
• Authors: Zhang, Zhe; Li, Ying
• Other Names: Nightingale James Academic Editor.
• Is Part Of: Journal of electrical and computer engineering. Volume 2015(2015)
• Publication Date: 2015-11-19
• Subjects: Computer engineering -- Periodicals; Electrical engineering -- Periodicals; 621.3905
• DOI: 10.1155/2015/246420
• Languages: English
• ISSNs: 2090-0147

Abstract

Abstract : Resource allocation is one of the most important research topics in servers. In the cloud environment, there are massive hardware resources of different kinds, and many kinds of services are usually run on virtual machines of the cloud server. In addition, cloud environment is commercialized, and economical factor should also be considered. In order to deal with commercialization and virtualization of cloud environment, we proposed a user utility oriented queuing model for task scheduling. Firstly, we modeled task scheduling in cloud environment as anM /M /1 queuing system. Secondly, we classified the utility into time utility and cost utility and built a linear programming model to maximize total utility for both of them. Finally, we proposed a utility oriented algorithm to maximize the total utility. Massive experiments validate the effectiveness of our proposed model.