Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment-Reference-Cited by-同舟云学术

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Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment

Published:2022-03-24 Issue:1 Volume:36 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Abedi Simin¹,Ghobaei-Arani Mostafa²^ORCID,Khorami Ehsan³,Mojarad Musa⁴^ORCID

Affiliation:

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

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

3. Department of Computer Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran

4. Department of Computer Engineering, Firoozabad Branch, Islamic Azad University, Firoozabad, Iran

Publisher

Informa UK Limited

Subject

Artificial Intelligence

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2022.2055394

Reference43 articles.

1. Scheduling Internet of Things requests to minimize latency in hybrid Fog–Cloud computing

2. A Survey on Load Balancing in Cloud Systems for Big Data Applications

3. A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers

4. A collaborative resource management for big IoT data processing in Cloud

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1. Design and performance analysis of modern computational storage devices: A systematic review;Expert Systems with Applications;2024-09

2. Delay-Aware and Energy-Efficient Task Scheduling Using Strength Pareto Evolutionary Algorithm II in Fog-Cloud Computing Paradigm;Wireless Personal Communications;2024-08-26

3. DRAP-CPU: a novel vm migration approach through a dynamic prioritized resource allocation strategy;Microsystem Technologies;2024-07-24

4. Fine-grained resource adjustment of edge server in cloud-edge collaborative environment;Cluster Computing;2024-03-27

5. A New QoS Optimization in IoT-Smart Agriculture Using Rapid-Adaption-Based Nature-Inspired Approach;IEEE Internet of Things Journal;2024-02-01

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