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Author:

Li, Feixiang (Li, Feixiang.) | Fang, Chao (Fang, Chao.) | Liu, Mingzhe (Liu, Mingzhe.) | Li, Ning (Li, Ning.) | Sun, Tian (Sun, Tian.)

Indexed by:

Scopus SCIE

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.

Keyword:

resource allocation computing offloading edge computing

Author Community:

  • [ 1 ] [Li, Feixiang]China Elect Technol Grp Corp, Res Inst 15, Beijing 100083, Peoples R China
  • [ 2 ] [Liu, Mingzhe]China Elect Technol Grp Corp, Res Inst 15, Beijing 100083, Peoples R China
  • [ 3 ] [Li, Ning]China Elect Technol Grp Corp, Res Inst 15, Beijing 100083, Peoples R China
  • [ 4 ] [Fang, Chao]Beijing Univ Technol, Dept Informat & Telecommmunicat, Beijing 100124, Peoples R China
  • [ 5 ] [Sun, Tian]Beijing Tsinghua Tongheng Urban Planning & Design, Beijing 100085, Peoples R China

Reprint Author's Address:

  • [Fang, Chao]Beijing Univ Technol, Dept Informat & Telecommmunicat, Beijing 100124, Peoples R China;;

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Related Keywords:

Source :

ELECTRONICS

Year: 2023

Issue: 5

Volume: 12

2 . 9 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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