A Multi-Objective Grouping Genetic Algorithm for Server Consolidation in Cloud Data Centers
Author:
Affiliation:
1. Uttaradit Rajabhat University,Department of Information Technology,Uttaradit,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10201904/10201936/10202081.pdf?arnumber=10202081
Reference26 articles.
1. An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing
2. PACO-VMP: Parallel Ant Colony Optimization for Virtual Machine Placement
3. A decrease-and-conquer genetic algorithm for energy efficient virtual machine placement in data centers
4. New Decrease-and-Conquer Strategies for the Dynamic Genetic Algorithm for Server Consolidation
5. An improved genetic algorithm for the virtual machine placement problem;sonklin;Australian Journal of Intelligent Information Processing Systems,2019
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1. A Global Task Scheduling Method Based on Network Measurement and Prediction in Computing Power Networks;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17
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