Improving flexibility in cloud computing using optimal multipurpose particle swarm algorithm with auction rules-Reference-Cited by-同舟云学术

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Improving flexibility in cloud computing using optimal multipurpose particle swarm algorithm with auction rules

Published:2022-12-08 Issue: Volume: Page:1-19
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Dashti Seyed Ebrahim¹,Zolghadri Mohammad²,Moayedi Fatemeh³

Affiliation:

1. Department of Computer Engineering, Jahrom Branch, Islamic Azad University, Jahrom, Iran

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

3. Computer Engineering Department, University of Larestan, Lar, Iran

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Theoretical Computer Science,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2022.2153280

Reference31 articles.

1. Autonomic Vertical Elasticity of Docker Containers with ELASTICDOCKER

2. Elasticity in Cloud Computing: State of the Art and Research Challenges

3. Energy-efficient algorithms

4. An Energy-Efficient Dynamic Resource Management Approach Based on Clustering and Meta-Heuristic Algorithms in Cloud Computing IaaS Platforms

5. SLA-aware resource allocation for application service providers in the cloud

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resource allocation in Fog–Cloud Environments: State of the art;Journal of Network and Computer Applications;2024-07

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