Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments-Reference-Cited by-同舟云学术

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Adaptive Incremental Genetic Algorithm for Task Scheduling in Cloud Environments

Published:2018-05-17 Issue:5 Volume:10 Page:168
ISSN:2073-8994
Container-title:Symmetry
language:en
Short-container-title:Symmetry

Author:

Duan Kairong,Fong Simon,Siu Shirley,Song Wei,Guan Steven

Funder

Universidade de Macau

Fundo para o Desenvolvimento das Ciências e da Tecnologia

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Link

http://www.mdpi.com/2073-8994/10/5/168/pdf

Reference27 articles.

1. Green Cloud Computing: A Literature Survey

2. Model to Implement Virtual Computing Labs via Cloud Computing Services

3. Cloud Generalized Power Ordered Weighted Average Operator and Its Application to Linguistic Group Decision-Making

4. 3D Reconstruction Framework for Multiple Remote Robots on Cloud System

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1. Multi-objective task scheduling in cloud data centers: a differential evolution chaotic whale optimization approach;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-08-30

2. Meta-heuristic Algorithms to Optimize Two-Stage Task Scheduling in the Cloud;SN Computer Science;2023-12-20

3. Task Scheduling and Resource Allocation in Cloud Computing : A Review and Analysis;2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA);2023-10-10

4. A Genetic Algorithm-Based Virtual Machine Allocation Policy for Load Balancing Using Actual Asymmetric Workload Traces;Symmetry;2023-05-05

5. A Survey on Resource Management for Cloud Native Mobile Computing: Opportunities and Challenges;Symmetry;2023-02-17

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