Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks-Reference-Cited by-同舟云学术

Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks

Published:2023 Issue: Volume:4 Page:1866-1878
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Pandey Chandrasen¹^ORCID,Tiwari Vaibhav¹^ORCID,Rathore Rajkumar Singh²^ORCID,Jhaveri Rutvij H.³^ORCID,Roy Diptendu Sinha¹^ORCID,Selvarajan Shitharth⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, National Institute of Technology Meghalaya, Shillong, India

2. Department of Computer Science, Cardiff School of Technologies, Cardiff Metropolitan University, Llandaff Campus, Cardiff, U.K.

3. Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, India

4. Department of Computer Science, Kebri Dehar University, Kebri Dehar, Ethiopia

Funder

Ministry of Electronics and Information Technologies (MeitY), Government of India

Gujarat Council on Science and Technology (GUJCOST), India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/8782661/10008219/10221869.pdf?arnumber=10221869

Reference28 articles.

1. Unity perception: Generate synthetic data for computer vision;borkman;arXiv 2107 04259,2021

2. Edge computing: A survey

3. Next-generation deep learning based on simulators and synthetic data

4. Generate, Annotate, and Learn: NLP with Synthetic Text

5. Security and Privacy Issues of Fog Computing: A Survey

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