Computation Offloading and Activation of Mobile Edge Computing Servers: A Minority Game

TL;DR

This paper introduces a distributed server activation mechanism for Mobile Edge Computing using Minority Game theory, aiming to optimize energy use and meet user latency requirements in resource-constrained edge environments.

Contribution

It applies Minority Game theory to develop a novel distributed offloading scheme that enhances energy efficiency and user experience in MEC systems.

Findings

Energy-efficient server activation achieved

User latency constraints satisfied

Distributed mechanism outperforms traditional approaches

Abstract

With the ever-increasing popularity of resource-intensive mobile applications, Mobile Edge Computing (MEC), e.g., offloading computationally expensive tasks to the cellular edge, has become a prominent technology for the next generation wireless networks. Despite its great performance in terms of delay and energy, MEC suffers from restricted power allowance and computational capability of the edge nodes. Therefore, it is imperative to develop distributed mechanisms for computation offloading, so that not only the computational servers are utilized at their best capacity, but also the users' latency constraints are fulfilled. In this paper, by using the theory of Minority Games, we develop a novel distributed server activation mechanism for computational offloading. Our scheme guarantees energy-efficient activation of servers as well as satisfaction of users' quality-of-experience (QoE) requirements in terms of latency.