Chaotic-Nondominated-Sorting Owl Search Algorithm for Energy-Aware Multi-Workflow Scheduling in Hybrid Clouds-Reference-Cited by-同舟云学术

Chaotic-Nondominated-Sorting Owl Search Algorithm for Energy-Aware Multi-Workflow Scheduling in Hybrid Clouds

Published:2022-07-01 Issue:3 Volume:7 Page:595-608
ISSN:2377-3782
Container-title:IEEE Transactions on Sustainable Computing
language:
Short-container-title:IEEE Trans. Sustain. Comput.

Author:

Li Huifang¹^ORCID,Xu Guanghao¹,Wang Danjing¹,Zhou MengChu²^ORCID,Yuan Yan¹,Alabdulwahab Ahmed³^ORCID

Affiliation:

1. State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China

2. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

3. Department of Electrical and Computer Engineering, Faculty of Engineering, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah, Saudi Arabia

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

King Abdulaziz University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software

Link

http://xplorestaging.ieee.org/ielx7/7274860/9881477/09690100.pdf?arnumber=9690100

Reference63 articles.

1. Workflow scheduling using Neural Networks and Reinforcement Learning

2. Cloud workflow scheduling algorithm based on reinforcement learning

3. CLPS-GA: A case library and Pareto solution-based hybrid genetic algorithm for energy-aware cloud service scheduling

4. Bi-objective workflow scheduling of the energy consumption and reliability in heterogeneous computing systems

5. Meta-heuristic based reliable and green workflow scheduling in cloud computing

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds;Future Generation Computer Systems;2024-08

2. Clustering-assisted gradient-based optimizer for scheduling parallel cloud workflows with budget constraints;The Journal of Supercomputing;2024-04-23

3. A two-stage preference driven multi-objective evolutionary algorithm for workflow scheduling in the Cloud;Expert Systems with Applications;2024-03

4. Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud;Computing;2024-02-24

5. A Communication Contention-Cognizant Scheduling Approach for Workflow Execution Across Public and Private Clouds;IEEE Transactions on Automation Science and Engineering;2024