A cooperative game method for load balancing in cloud based on cost-efficiency

Author

Shaoyi Song ; Tingjie Lv ; Xia Chen

Author_Institution

Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China

fYear

2014

fDate

8-11 July 2014

Firstpage

311

Lastpage

314

Abstract

Nowadays, cloud computing is considered as an internet evolution and will be the support for future internet development. In this paper, we abstract the load balancing problem in cloud computing as a model that a few of users occupying the computing resources, and introduce the price variation into the model. We formulate this problem as a cooperative game among job processing nodes. Processors work cooperatively together to finish jobs execution with minimal costs. From the experiment result, the algorithm proposed in this paper has better fairness of processors than that of traditional algorithm and improves the efficiency of the system.

Keywords

cloud computing; game theory; pricing; resource allocation; Internet evolution; cloud computing; computing resources; cooperative game theory; future Internet development; job execution; job processing nodes; load balancing problem; price variation; processors; Cloud computing; Clustering algorithms; Computational modeling; Games; Load management; Load modeling; Program processors; allocation; balancing; cloud; computing; game theory; job; load; price theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on

Conference_Location

Shanghai

Type

conf

DOI

10.1109/ICUFN.2014.6876803

Filename

6876803