ECFA: An Efficient Convergent Firefly Algorithm for Solving Task Scheduling Problems in Cloud-Edge Computing-Reference-Cited by-同舟云学术

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ECFA: An Efficient Convergent Firefly Algorithm for Solving Task Scheduling Problems in Cloud-Edge Computing

Published:2023-09 Issue:5 Volume:16 Page:3280-3293
ISSN:1939-1374
Container-title:IEEE Transactions on Services Computing
language:
Short-container-title:IEEE Trans. Serv. Comput.

Author:

Yin Lu¹^ORCID,Sun Jin¹^ORCID,Zhou Junlong¹^ORCID,Gu Zonghua²^ORCID,Li Keqin³^ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

2. Department of Applied Physics and Electronics, Umeå University, Umeå, Sweden

3. Department of Computer Science, State University of New York, New Paltz, NY, USA

Funder

Jiangsu Provincial Key Research and Development Program

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Kempe Foundation, Sweden

Industry-University-Research Innovation Funds for Chinese Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/4629386/10274114/10177262.pdf?arnumber=10177262

Reference40 articles.

1. Task Scheduling with Dynamic Voltage and Frequency Scaling for Energy Minimization in the Mobile Cloud Computing Environment

2. Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures

3. Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee

4. On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

5. Partial Offloading Scheduling and Power Allocation for Mobile Edge Computing Systems

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