Optimizing Resource Allocation for Energy Efficiency in Fog Cloud Computing Environments-Reference-Cited by-同舟云学术

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Optimizing Resource Allocation for Energy Efficiency in Fog Cloud Computing Environments

Published:2024-04-06 Issue: Volume: Page:538-542
ISSN:
Container-title:2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Kaur Mandeep¹,Aron Rajni²,Seth Shriya³

Affiliation:

1. Chitkara University Punjab,Department of Computer Science and Engineering,India

2. NMIMS UNIVERSITY,MPSTME,Mumbai,India

3. Chitkara University Institute of Engineering and Technology, Chitkara University Punjab,Department of Computer Science and Engineering,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10545643/10545610/10545889.pdf?arnumber=10545889

Reference16 articles.

1. Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments

2. Optimal Energy-efficient Resource Allocation and Fault Tolerance scheme for task offloading in IoT-FoG Computing Networks

3. Energy- and performance-aware load-balancing in vehicular fog computing

4. An Energy-Efficient Load Balancing Approach for Fog Environment Using Scientific Workflow Applications

5. Fog Computing and Its Role in Development of Smart Applications

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