Dynamic Resource Allocation and Computation Offloading for IoT Fog Computing System

Abstract

Fog computing system emerges as one of the promising technology for realizing the Internet of Things (IoT). By offloading the computational tasks to the fog node (FN) at the network edge, both the service latency and energy consumption can be improved. However, the dynamics of computational resource usages in the FN, the radio environment and the energy in the battery of IoT devices make the offloading mechanism design become challenging. Therefore, in this paper, we propose a dynamic optimization scheme for the IoT fog computing system with multiple mobile devices (MDs), where the radio and computational resources, and offloading decisions, can be dynamically coordinated and allocated with the variation of radio resources and computation demands. Specifically, we propose a joint computation offloading and radio resource allocation algorithm based on Lyapunov optimization to minimize the system cost. Through performance evaluation, the effectiveness of the proposed scheme can be verified.