Research on cloud computing resource scheduling strategy based on genetic ant colony fusion algorithm-Reference-Cited by-同舟云学术

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Research on cloud computing resource scheduling strategy based on genetic ant colony fusion algorithm

Published:2022-12-29 Issue: Volume: Page:
ISSN:
Container-title:Third International Conference on Computer Science and Communication Technology (ICCSCT 2022)
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Author:

Nie Jun

Publisher

SPIE

Reference10 articles.

1. Cloud Computing resource scheduling based on improved ant colony optimization algorithm;Xiao;Microcomputer Applications,2022

2. Two hypotheses and test assumptions based on Quantum-behaved Particle Swarm Optimization (QPSO);Ye;Cluster Computing,2019

3. An enhanced ant colony optimization algorithm for task scheduling in cloud computing;Jain;Int. J. Secur. Appl,2020

4. An improved genetic algorithm for cloud computing resource scheduling;Liu;Computer Measurement & Control,2016

5. A compromised-time-cost scheduling algorithm for cost-constrained workflows on cloud computing platform;Liu,2014

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