An Optimization Model for Task Scheduling in Mobile Cloud Computing

Abstract

The rapid increase in the number of mobile users in mobile cloud computing (MCC), the cloud servers' remoteness, and the Internet loading have caused significant delays in the delivery of processed data to the user. The selection of the most suitable cloudlet that allows running users' applications rapidly in the cloudlet is still an urgent problem. In the paper we propose a strategy for selecting a cloudlet with high computing productivity, which provides a fast solution, considering the complexity degree of the application (file type). Here also noted that the balanced distribution of users' application software in the cloudlet network ensures the reduction of delays. In the paper, for the proposed strategy, a mathematical model of the optimal distribution of applications in the cloudlet has been proposed considering the loading degree of cloudlets which provides energy consumption on mobile devices, uploading the issue to the cloud, obtaining results, reducing network delays.