Cost-Effective Traffic Scheduling and Resource Allocation for Edge Service Provisioning-Reference-Cited by-同舟云学术

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Cost-Effective Traffic Scheduling and Resource Allocation for Edge Service Provisioning

Published:2023-12 Issue:6 Volume:31 Page:2934-2949
ISSN:1063-6692
Container-title:IEEE/ACM Transactions on Networking
language:
Short-container-title:IEEE/ACM Trans. Networking

Author:

Xiang Zhengzhe¹^ORCID,Zheng Yuhang²,Zheng Zengwei²^ORCID,Deng Shuiguang¹^ORCID,Guo Minyi³^ORCID,Dustdar Schahram⁴^ORCID

Affiliation:

1. School of Computer and Computing Science, Hangzhou City University, Hangzhou, China

2. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

3. Emerging Parallel Computing Center, Shanghai Jiao Tong University, Shanghai, China

4. Distributed Systems Group, TU Wien, Vienna, Austria

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/90/10365667/10107453.pdf?arnumber=10107453

Reference47 articles.

1. Distributed Machine Learning for Multiuser Mobile Edge Computing Systems

2. A Survey on Mobile Augmented Reality With 5G Mobile Edge Computing: Architectures, Applications, and Technical Aspects

3. A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things

4. Energy-effective IoT Services in Balanced Edge-Cloud Collaboration Systems

5. Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach

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1. Joint multi-objective MEH selection and traffic path computation in 5G-MEC systems;Computer Networks;2024-02

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