eMRA: A Multi-Objective Resource Allocation Technique using Genetic Algorithms for Cloud Computing-Reference-Cited by-同舟云学术

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eMRA: A Multi-Objective Resource Allocation Technique using Genetic Algorithms for Cloud Computing

Published:2024-03-15 Issue: Volume:12 Page:1-5
ISSN:
Container-title:2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT)
language:
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Author:

N R Mohamed Kareemulla¹,G S Nijaguna²,K N Chaithra³,Alsalami Zaid⁴,Kumari K Aruna⁵

Affiliation:

1. Dr. T. Thimmaiah Institute of Technology,CSE Department,Oorgam,KGF,India

2. S.E.A. College Of Engineering and Technology,Department of Information Science and Engineering,Bangalore,India

3. Nitte Meenakshi Institute of Technology,Dept of ECE,Bengaluru,India

4. The Islamic university,Najaf,Iraq

5. SRKR Engineering College,Department of CSE,Chinaamiram,Bhimavaram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10515307/10515308/10516192.pdf?arnumber=10516192

Reference11 articles.

1. Multi-Objective Optimization for Resource Allocation in Vehicular Cloud Computing Networks

2. Availability-Aware and Energy-Efficient Virtual Cluster Allocation Based on Multi-Objective Optimization in Cloud Datacenters

3. Best-KFF: a multi-objective preemptive resource allocation policy for cloud computing systems

4. MCAMO: multi constraint aware multi-objective resource scheduling optimization technique for cloud infrastructure services

5. A Hybrid Multi-Objective Bat Algorithm for Solving Cloud Computing Resource Scheduling Problems

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