Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments-Reference-Cited by-同舟云学术

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Optimizing resource scheduling based on extended particle swarm optimization in fog computing environments

Published:2021-01-10 Issue:23 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Potu Narayana¹,Jatoth Chandrashekar²^ORCID,Parvataneni Premchand¹

Affiliation:

1. Department of Computer Science and Engineering Osmania University Hyderabad Hyderabad India

2. Department of Computer Science and Engineering National Institute of Technology Hamirpur India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6163

Reference30 articles.

1. Delay Mitigation in Offloaded Cloud Controllers in Industrial IoT

2. Trends and challenges in cloud datacenters

3. Enabling technologies for fog computing in healthcare IoT systems

4. A new computing environment for collective privacy protection from constrained healthcare devices to IoT cloud services

5. Fog Computing: Helping the Internet of Things Realize Its Potential

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1. Resource provisioning optimization in fog computing: a hybrid meta-heuristic algorithm approach;International Journal of System Assurance Engineering and Management;2024-08-10

2. A novel multi-objective optimized DAG task scheduling strategy for fog computing based on container migration mechanism;Wireless Networks;2024-07-04

3. Multiobjective Harris Hawks Optimization-Based Task Scheduling in Cloud-Fog Computing;IEEE Internet of Things Journal;2024-07-01

4. Federated learning inspired Antlion based orchestration for Edge computing environment;PLOS ONE;2024-06-04

5. Particle Swarm Optimization Algorithm Using Velocity Pausing and Adaptive Strategy;Symmetry;2024-05-27

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