Title :
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
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;
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2014 Sixth International Conf on
Conference_Location :
Shanghai
DOI :
10.1109/ICUFN.2014.6876803
