Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing-Reference-Cited by-同舟云学术

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Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing

Published:2024-10 Issue: Volume:90 Page:101654
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Xia Yangkun^ORCID,Luo Xinran,Yang Wei,Jin Ting,Li Jun,Xing Lining,Pan Lijun

Funder

Shaanxi Province Department of Science and Technology

Publisher

Elsevier BV

Reference53 articles.

1. Green cloud? An empirical analysis of cloud computing and energy efficiency;Park;Manage. Sci.,2023

2. Hybrid evolutionary scheduling for energy-efficient fog-enhanced internet of things;Wu;IEEE Trans. Cloud Comput.,2021

3. How to stop data centres from gobbling up the world’s electricity;Jones;Nature,2018

4. A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment;Hassan;Future Gener. Comput. Syst.,2020

5. A taxonomy and future directions for sustainable cloud computing: 360 degree view;Gill;ACM Comput. Surv.,2018

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