Game theoretical approach for load balancing using SGMLB model in cloud environment.

ABSTRACT: On-demand cloud computing is one of the rapidly evolving technologies that is being widely used in the industries now. With the increase in IoT devices and real-time business analytics requirements, enterprises that ought to scale up and scale down their services have started coming towards on-demand cloud computing service providers. In a cloud data center, a high volume of continuous incoming task requests to physical hosts makes an imbalance in the cloud data center load. Most existing works balance the load by optimizing the algorithm in selecting the optimal host and achieves instantaneous load balancing but with execution inefficiency for tasks when carried out in the long run. Considering the long-term perspective of load balancing, the research paper proposes Stackelberg (leader-fo

SUBMITTER: Swathy R 

PROVIDER: S-EPMC7170225 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature