A Honey Bee Inspired Cloudlet Selection for Resource Allocation

TLDR: The proposed honey bee inspired cloudlet selection for resource allocation for resource intensive applications from users is proposed and not only selects low loaded cloudlet but also performs load balancing among cloudlets in such way that the waiting time of user offloading task in queue will be reduced.

Abstract: The mobile cloud computing has been introduced to address limitations of mobile devices. These limitations include battery lifetime, storage capacity, and processing power. User can offload resource intensive mobile application into cloud for processing can return the result to device. This increases transmission delay and power consumption. The new cloudlet concept has been proposed to address problems such as long delay and huge power consumption. But selection of cloudlet in mobile cloud computing is an important issue for offloading task into cloudlet data center. In this paper, we proposed honey bee inspired cloudlet selection for resource allocation for resource intensive applications from users. The proposed algorithm not only selects low loaded cloudlet but also perform load balancing among cloudlets in such way that the waiting time of user offloading task in queue will be reduced. The experimental result shows that performance of the proposed algorithm optimal compare with existing algorithm. The proposed algorithm represents significant improvement in reduction of user’s waiting time in queue.