Energy- and Cost-Aware Offloading of Dependent Tasks With Edge-Cloud Collaboration for Human Digital Twin-Reference-Cited by-同舟云学术

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Energy- and Cost-Aware Offloading of Dependent Tasks With Edge-Cloud Collaboration for Human Digital Twin

Published:2024-09-01 Issue:17 Volume:11 Page:29116-29131
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Zhang Qiang¹^ORCID,Yang Yuye¹^ORCID,Yi Changyan¹^ORCID,Okegbile Samuel D.²^ORCID,Cai Jun²^ORCID

Affiliation:

1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

Funder

State Key Laboratory of Massive Personalized Customization System and Technology

Postgraduate Research and Practice Innovation Program of NUAA

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10643444/10540356.pdf?arnumber=10540356

Reference43 articles.

1. Human Digital Twin for Personalized Healthcare: Vision, Architecture and Future Directions

2. Digital Twin Networks: A Survey

3. Differentially Private Federated Multi-Task Learning Framework for Enhancing Human-to-Virtual Connectivity in Human Digital Twin

4. Networking Architecture and Key Supporting Technologies for Human Digital Twin in Personalized Healthcare: A Comprehensive Survey

5. K-Means Clustering-Based Kernel Canonical Correlation Analysis for Multimodal Emotion Recognition in Human–Robot Interaction

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