Hybrid Grey Wolf and Particle Swarm Optimized (HGW-PSO) Scheduling in Containerized Cloud Computing Environment-Reference-Cited by-同舟云学术

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Hybrid Grey Wolf and Particle Swarm Optimized (HGW-PSO) Scheduling in Containerized Cloud Computing Environment

Published:2024-05-24 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 5th International Conference for Emerging Technology (INCET)
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Author:

sankar S.M. Udhaya¹,Rathnam Martin Joel²,Babu Aswanth¹,G Harikumar¹,Nadh J Keerthi¹

Affiliation:

1. R.M.K College of Engineering and Technology,Department of Computer Science and Engineering(Cyber Security),Chennai,Tamilnadu,India

2. Sri Sairam college of Engineering,Department of Electronics and Communication Engineering,Bengaluru,Karnataka,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592862/10592849/10593037.pdf?arnumber=10593037

Reference25 articles.

1. Optimized Retrieval of Data from Cloud using Hybridization of Bellstra Algorithm

2. A Hybrid Eagle’s Web Swarm Optimization (EWSO) technique for effective cloud resource management

3. A new container scheduling algorithm based on multi-objective optimization

4. Cost-efficient resource scheduling in cloud for big data processing using metaheuristic search black widow optimization (MS-BWO) algorithm

5. A Genetic Algorithm-Based Energy-Efficient Container Placement Strategy in CaaS

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