Enhancing Mobile Efficiency with Cloud-Based Computation Offloading: Critical Issues and Challenges

Main Article Content

Imran Khan, Sumit Bhattachar

Abstract

One efficient method that is built using MATLAB is HEACO, which stands for Heterogeneous Energy Efficient method for Computation offloading. Factors including RAM use, number of tolerable tasks, CPU utilisation, and battery consumption are considered. One way this method measures performance is by looking at the standard deviation. Three viewpoints are used to present the chosen issues: the security viewpoint, the resource-intensive architecture of the current frameworks, and the ideal offloading platform. This method efficiently moves programmes with intensive computations that mobile devices cannot handle to the cloud, all while keeping these criteria in mind.

Article Details

How to Cite
Imran Khan. (2023). Enhancing Mobile Efficiency with Cloud-Based Computation Offloading: Critical Issues and Challenges. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6), 635–341. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/10828
Section
Articles