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Author: Tadashi Ogino

Affiliation: School of Information Science, Meisei University, Tokyo and Japan

ISBN: 978-989-758-369-8

Keyword(s): IoT, Edge Computing, Cloud Computing, ITS.

Abstract: In recent times, large-scale cloud computing based Internet of Things (IoT) systems are facing problems such as an increase in network load, delay in response, and invasion of privacy. To solve these problems, edge computing technique has been employed in many IoT systems. However, if the cloud function is excessively migrated to the edge, the collected data cannot be shared between IoT systems, thus, reducing the system's usefulness. We propose a multi-agent based flexible IoT edge computing architecture to balance global optimization by a cloud and local optimization by edges and to optimize the role of both the cloud and the edge servers in a dynamic manner. In this paper, as an application example, we introduce a route search system based on the proposed edge computing system architecture to demonstrate the effectiveness of the proposed method.

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Paper citation in several formats:
Ogino, T. (2019). Flexible IoT Edge Computing System to Solve the Tradeoff of Optimal Route Search.In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-369-8, pages 215-222. DOI: 10.5220/0007587702150222

@conference{iotbds19,
author={Tadashi Ogino.},
title={Flexible IoT Edge Computing System to Solve the Tradeoff of Optimal Route Search},
booktitle={Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2019},
pages={215-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007587702150222},
isbn={978-989-758-369-8},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Flexible IoT Edge Computing System to Solve the Tradeoff of Optimal Route Search
SN - 978-989-758-369-8
AU - Ogino, T.
PY - 2019
SP - 215
EP - 222
DO - 10.5220/0007587702150222

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