Enhancing mobile computation offloading efficiency with the adaptive optimization algorithm

Enhancing mobile computation offloading efficiency with the adaptive optimization algorithm

연구 분야: Infrastructure

학회: Multimedia Tools and Applications

The last few years have witnessed unprecedented growth in the usage of mobile and handheld devices. With the advent of smartphones, tablets, and other portable gadgets, people now have access to information and communication like never before. Computation-intensive applications require significant processing power, which poses a challenge for mobile and handheld devices. The limited computational resources available in these devices make it difficult to execute complex algorithms and perform intensive computations. This is particularly true for resource-constrained devices like smartphones and tablets. Computation offloading is employed to enhance the performance of mobile and handheld devices by transferring some of the computational tasks to other resources. In this research, a Directed Acyclic Graph (DAG)-based model to formulate the computation offloading problem in the server. To achieve optimal computation, the Adaptive Offloading Algorithm for Heterogeneous Environments (AOAHE) is proposed for computation offloading. This algorithm is designed to enhance resource utilization and energy efficiency in mobile devices. The algorithm has been tested and evaluated through experimental results and the findings indicate that it performs well than other existing algorithms in terms of execution time and energy consumption.