CompCube: A Space-Time-Request Resource Trading Framework for Edge-Cloud Service Market

Author:

Ren Xiaoxu1ORCID,Qiu Chao1ORCID,Chen Zheyuan1ORCID,Wang Xiaofei1ORCID,Niyato Dusit2ORCID,Wang Wenyu3

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

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

3. Shanghai Zhuichu Networking Tecnologies Company, Ltd., Shanghai, China

Funder

China NSFC

Tianjin Xinchuang Haihe Lab

Open Research Fund from Guangdong Laboratory of Artificial Intelligence and Digital Economy

Key Laboratory of Dependable Service Computing in Cyber Physical Society

Chongqing University

Ministry of Education of the People's Republic of China

National Research Foundation

Info-communications Media Development Authority

Future Communications Research Development Programme

DSO National Laboratories

AI Singapore Programme

Energy Research Test-Bed and Industry Partnership Funding Initiative

Energy Grid (EG) 2.0 programme

DesCartes

Campus for Research Excellence and Technological Enterprise (CREATE) programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

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3. Crossl.earning: Vertical and Horizontal Learning for Request Scheduling in Edge-Cloud Systems;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Blockchain-Empowered Resource Trading for Optimizing Bandwidth Reservation in Vehicular Networks;IEEE Access;2024

5. Enhancing Resource Allocation Efficiency for Collaborative End-Edge Tasks in the Metaverse’s Virtual Reality;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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