Bi-Objective Optimization of Bandwidth Resources and Energy Consumption for Efficient Virtual Machine Placement in Cloud Computing-Reference-Cited by-同舟云学术

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Bi-Objective Optimization of Bandwidth Resources and Energy Consumption for Efficient Virtual Machine Placement in Cloud Computing

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Deresa Ketema

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference19 articles.

1. A hybrid energy-Aware virtual machine placement algorithm for cloud environments;A S Abohamama;Expert Systems with Applications,2020

2. An Effective Ant Colony Optimization Methodology For Virtual Machine Placement In Cloud Data Centre;A Arivuselvi;Turkish Journal of Computer and Mathematics Education,2021

3. Cloud Provider Connectivity in the Flat Internet;T Arnold;Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC,2020

4. Power aware virtual machine placement in IaaS cloud using discrete firefly algorithm;K Balaji;Applied Nanoscience,2022

5. A multiobjective secure optimal vm placement in energy-efficient server of cloud computing;S Ganesan;Intelligent Automation and Soft Computing,2021

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