Iot Enabled Fog Based Computing with Deep Learning Models to Increase The Allocation of Resource-Reference-Cited by-同舟云学术

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Iot Enabled Fog Based Computing with Deep Learning Models to Increase The Allocation of Resource

Published:2023-05-11 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Disruptive Technologies (ICDT)
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Author:

Laxmaiah Bagam¹,Easwaran Balamurugan²,Sultana H. Parveen³,Praveenadevi D.⁴,Katragadda Likitha Sai⁴

Affiliation:

1. CMR Technical Campus,Hyderabad,Telangana,India

2. Texila American University,Zambia

3. Vellore Institute of Technology,Vellore,Tamil Nadu,India

4. Koneru Lakshmaiah Education Foundation (Deemed to be University),KL Business School,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150433/10150449/10151115.pdf?arnumber=10151115

Reference13 articles.

1. iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments

2. Dynamic handoff decision based on current traffic level and neighbor information in wireless data networks

3. A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment

4. Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions

5. Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications

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