Dynamic placement of virtual machines using an improved multi‐objective teaching‐learning based optimization algorithm in cloud-Reference-Cited by-同舟云学术

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Dynamic placement of virtual machines using an improved multi‐objective teaching‐learning based optimization algorithm in cloud

Published:2022-05-14 Issue:9 Volume:33 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Wang Na¹,Osmani Amjad²,Mirzaei Siamak³

Affiliation:

1. School of Electronic and Information Engineering Shaanxi Vocational & Technical College Xi'an Shaanxi China

2. Department of Computer Engineering Islamic Azad University, Qazvin Branch Qazvin Iran

3. Education Technology Department UniSA Online, University of South Australia Adelaide South Australia Australia

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4529

Reference37 articles.

1. An efficient resource provisioning approach for analyzing cloud workloads: a metaheuristic-based clustering approach

2. Sentiment Classification Using Two Effective Optimization Methods Derived From The Artificial Bee Colony Optimization And Imperialist Competitive Algorithm

3. A workload clustering based resource provisioning mechanism using Biogeography based optimization technique in the cloud based systems

4. An Intelligent Sensor Placement Method to Reach a High Coverage in Wireless Sensor Networks

5. Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding

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