A self‐learning fuzzy approach for proactive resource provisioning in cloud environment-Reference-Cited by-同舟云学术

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A self‐learning fuzzy approach for proactive resource provisioning in cloud environment

Published:2019-08-11 Issue:11 Volume:49 Page:1618-1642
ISSN:0038-0644
Container-title:Software: Practice and Experience
language:en
Short-container-title:Softw: Pract Exper

Author:

Khorsand Reihaneh¹^ORCID,Ghobaei‐Arani Mostafa²³^ORCID,Ramezanpour Mohammadreza⁴^ORCID

Affiliation:

1. Department of Computer Engineering, Dolatabad BranchIslamic Azad University Isfahan Iran

2. Department of Computer Engineering, Qom BranchIslamic Azad University Qom Iran

3. Young Researchers and Elite ClubQom Branch, Islamic Azad University Qom Iran

4. Department of Computer Engineering, Mobarakeh BranchIslamic Azad University Isfahan Iran

Publisher

Wiley

Subject

Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.2737

Reference38 articles.

1. Van Den BosscheB VerdicktT De VleeschauwerB DesmetS et al.A platform for dynamic microcell redeployment in massively multiplayer online games. In: Proceedings of the 2006 International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV);2006;Newport RI.

2. Dynamic resource provisioning for cloud‐based gaming infrastructures;Marzolla M;Comput Entertain,2012

3. A moth-flame optimization algorithm for web service composition in cloud computing: Simulation and verification

4. Auto-scaling web applications in clouds: A cost-aware approach

5. Dynamic scheduling applying new population grouping of whales meta‐heuristic in cloud computing;Hemasian‐Etefagh F;J Supercomput,2019

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