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Similarity-based data transmission reduction solution for edge-cloud collaborative AI

Authors:

Francisco J. Mora GimenoAuthors Info & Claims

AICCC '22: Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference

Pages 42 - 48

https://doi.org/10.1145/3582099.3582107

Published: 20 April 2023 Publication History

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Abstract

Edge-cloud collaborative processing for IoT data is a relatively new approach that tries to solve processing and network issues in IoT systems. It consists of splitting the processing done by a Neural Network model into edge part and cloud part in order to solve network, privacy and load issues. However, it also has it shortcomings such as the big size of the edge part's output that has to be transmitted to the cloud. In this paper, we are proposing a data transmission reduction method for edge-cloud collaborative solutions that is based on data similarities in stationary objects. The performed experiments proved that we were able to reduce 62% of the data sent.

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Cited By

Karras AGiannaros AKarras CGiotopoulos KTsolis DSioutas S(2023)Edge Artificial Intelligence in Large-Scale IoT Systems, Applications, and Big Data Infrastructures2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)10.1109/SEEDA-CECNSM61561.2023.10470756(1-8)Online publication date: 10-Nov-2023
https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470756

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Similarity-based data transmission reduction solution for edge-cloud collaborative AI
1. Computing methodologies
2. Information systems

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cover image ACM Other conferences

AICCC '22: Proceedings of the 2022 5th Artificial Intelligence and Cloud Computing Conference

December 2022

302 pages

ISBN:9781450398749

DOI:10.1145/3582099

Copyright © 2022 ACM.

Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 April 2023

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AICCC 2022

AICCC 2022: 2022 5th Artificial Intelligence and Cloud Computing Conference

December 17 - 19, 2022

Osaka, Japan

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Cited By

Karras AGiannaros AKarras CGiotopoulos KTsolis DSioutas S(2023)Edge Artificial Intelligence in Large-Scale IoT Systems, Applications, and Big Data Infrastructures2023 8th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)10.1109/SEEDA-CECNSM61561.2023.10470756(1-8)Online publication date: 10-Nov-2023
https://doi.org/10.1109/SEEDA-CECNSM61561.2023.10470756

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