Multi-Objective Load Balancing in Cloud Computing: A Meta-Heuristic Approach-Reference-Cited by-同舟云学术

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Multi-Objective Load Balancing in Cloud Computing: A Meta-Heuristic Approach

Published:2022-12-02 Issue: Volume: Page:1-28
ISSN:0196-9722
Container-title:Cybernetics and Systems
language:en
Short-container-title:Cybernetics and Systems

Author:

Kumar Kethineni Vinod¹,Rajesh A.²

Affiliation:

1. Department of Computer Science and Engineering, AP IIIT RGUKT RK Valley, Vempalli, Andhra Pradesh, India

2. Department of Computer Science and Engineering, Vels Institute of Science Technology and Advanced Studies (VISTAS), Chennai, Tamil Nadu, India

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Information Systems,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/01969722.2022.2145656

Reference47 articles.

1. MOWS: Multi-objective workflow scheduling in cloud computing based on heuristic algorithm

2. Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm

3. Symbiotic Organism Search optimization based task scheduling in cloud computing environment

4. A Hybrid Meta-Heuristic for Optimal Load Balancing in Cloud Computing

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4. Evolutionary Meta-Heuristic Offloading and Scheduling Schemes Enabled Industrial Cyber-Physical System;IEEE Systems Journal;2024-06

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