Multi-Server Offloading Based on Game Theory in Cloud-Edge Collaborative Computing

Abstract

As a new computing paradigm, Cloud-Edge collaborative computing has injected new vitality into edge computing. To make full use of the resources of Cloud Computing Server and Edge Computing Servers in the Cloud-Edge environment, and solve the problem of uneven load of edge servers in different regions. This paper introduces a multi-server cooperative offloading strategy for IoT systems. Technically, a Task Pre-Offloading Algorithm, named TPOA, is devised first to determine partial tasks offloading position in advance, reducing the range of devices participating in the game. Then a game theory multi-server task offloading algorithm, named GT-MSTO, is designed to perform offloading games between cloud servers and multiple edge servers to achieve the goal of providing an optimal offloading location for tasks. Simulation results validate that the TPOA and GT-MSTO can effectively obtain the minimum task delay.