Intelligent Computation Offloading Mechanism with Content Cache in Mobile Edge Computing

Author:

Li Feixiang1,Fang Chao2ORCID,Liu Mingzhe1,Li Ning1,Sun Tian3

Affiliation:

1. The 15th Research Institute of China Electronics Technology Group Corporation, Beijing 100083, China

2. Department of Information and Telecommmunication Engineer, Beijing University of Technology, Beijing 100124, China

3. Beijing Tsinghua Tongheng Urban Planning and Design Institute, Beijing 100085, China

Abstract

Edge computing is a promising technology to enable user equipment to share computing resources for task offloading. Due to the characteristics of the computing resource, how to design an efficient computation incentive mechanism with the appropriate task offloading and resource allocation strategies is an essential issue. In this manuscript, we proposed an intelligent computation offloading mechanism with content cache in mobile edge computing. First, we provide the network framework for computation offloading with content cache in mobile edge computing. Then, by deriving necessary and sufficient conditions, an optimal contract is designed to obtain the joint task offloading, resource allocation, and a computation strategy with an intelligent mechanism. Simulation results demonstrate the efficiency of our proposed approach.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference28 articles.

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3. Li, J., Peng, Z., and Xiao, B. (2016, January 20–21). Smartphone-assisted smooth live video broadcast on wearable cameras. Proceedings of the 2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS), Beijing, China.

4. Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges;Teng;IEEE Commun. Surv. Tutor.,2019

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