Dynamics in Coded Edge Computing for IoT: A Fractional Evolutionary Game Approach-Reference-Cited by-同舟云学术

Dynamics in Coded Edge Computing for IoT: A Fractional Evolutionary Game Approach

Published:2022-08-01 Issue:15 Volume:9 Page:13978-13994
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Han Yue¹^ORCID,Niyato Dusit²^ORCID,Leung Cyril³^ORCID,Miao Chunyan⁴^ORCID,Kim Dong In⁵^ORCID

Affiliation:

1. Alibaba Group and the Alibaba-NTU Joint Research Institute, Nanyang Technological University, Singapore

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada

4. School of Computer Science and Engineering, Alibaba-NTU Joint Research Institute, and Active Living for the Elderly, Nanyang Technological University, Singapore

5. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

Funder

Alibaba Group through Alibaba Innovative Research (AIR) Program and Alibaba-Nanyang Technological University (NTU) Singapore Joint Research Institute

National Research Foundation, Singapore, under its Emerging Areas Research Projects (EARP) Funding Initiative

National Research Foundation, Singapore, under AI Singapore Programme

Singapore Ministry of Education (MOE) Tier 1

National Research Foundation of Korea (NRF) Grant

Korean Government

MSIT under the ICT Creative Consilience program

IITP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6488907/9839365/09681708.pdf?arnumber=9681708

Reference58 articles.

1. Economic growth model with constant pace and dynamic memory

2. Dynamic content allocation for cloud-assisted service of periodic workloads

3. A Multilevel Optimization Framework for Computation Offloading in Mobile Edge Computing

4. Computation offloading and content caching delivery in vehicular edge computing: A survey;dziyauddin;arXiv 1912 07803,2019

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