Delay-Sensitive Task Offloading Optimization by Geometric Programming

Mobile cloud computing is an emerging technology to address the resource limitation of mobile terminals. These terminals need to satisfy the performance requirements of emerging resource-consuming applications. Among these applications, delay-sensitive applications are becoming popular with the requirements of low execution times. Satisfying the delay requirements of these applications is the main objective in the task offloading of mobile cloud computing. In this paper, considering a network of wireless and wired infrastructures, a resource allocation problem in the form of a non-convex problem is formulated to provide a fair delay for offloaded tasks by delay-sensitive applications. Both transmission and computation delays are included in the formulation of the offloading delay. To tackle the problem's complexity, the assignment of mobile terminals to radio access networks and cloud servers is done by proposing greedy assignment solutions. The derived problem which is a geometric programming problem is then solved using convex programming. The performance of the proposed solution is evaluated versus the number of mobile terminals with different values of bandwidth resources at the radio network, workloads, and demand CPU cycles at mobile terminals. Numerical results demonstrate the effectiveness of the proposed solution to decrease the offloading delay in comparison with similar schemes.