Implementation of a Cluster-Based Heterogeneous Edge Computing System for Resource Monitoring and Performance Evaluation-Reference-Cited by-同舟云学术

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Implementation of a Cluster-Based Heterogeneous Edge Computing System for Resource Monitoring and Performance Evaluation

Published:2022 Issue: Volume:10 Page:38458-38471
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chan Yu-Wei¹^ORCID,Fathoni Halim²,Yen Hao-Yi³,Yang Chao-Tung³^ORCID

Affiliation:

1. Department of Information Management, Providence University, Taichung, Taiwan

2. Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, Taiwan

3. Department of Computer Science, Tunghai University, Taichung, Taiwan

Funder

Ministry of Science and Technology (MOST), Taiwan

National Applied Research Laboratories (NARLabs), Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09754569.pdf?arnumber=9754569

Reference35 articles.

1. Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

2. Pods – A novel intelligent energy efficient and dynamic frequency scalings for multi-core embedded architectures in an IoT environment

3. Power-Efficient Layer Mapping for CNNs on Integrated CPU and GPU Platforms

4. Benchmark Analysis of YOLO Performance on Edge Intelligence Devices

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