Performance Evaluation of Big Data Processing at the Edge for IoT-Blockchain Applications

Lee, Z. E., Chua, R. L. H., Keoh, S. L. and Ohba, Y. (2020) Performance Evaluation of Big Data Processing at the Edge for IoT-Blockchain Applications. In: IEEE GLOBECOM 2019, Waikoloa, HI, USA, 09-13 Dec 2019, ISBN 9781728109626 (doi:10.1109/GLOBECOM38437.2019.9013329)

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Abstract

Internet-of-Things (IoT) utilising sensors is effective in performing continuous monitoring, while Blockchain is ideal in guaranteeing integrity and immutability of these IoT data. There are many challenges in integrating IoT and Blockchain together mainly because IoT devices have limited computational resources, and storage capacity while Blockchain processing incurs high CPU cost and high latency in data transfer. We propose a fully distributed edge computing architecture coupled with an efficient storage system that is based on Non-Volatile Memory express Over Fabrics (NVMeOF) to provide efficient IoT data processing for supply chain management. The data is secured using Blockchain at the edge to ensure traceability, security and non-repudiation in the data. An evaluation of our implementation and performance comparison between NVMeOF and SATA storage interfaces for our IoT-Blockchain architecture is presented.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Keoh, Dr Sye Loong
Authors: Lee, Z. E., Chua, R. L. H., Keoh, S. L., and Ohba, Y.
College/School:College of Science and Engineering > School of Computing Science
Research Group:GLASS
ISSN:2576-6813
ISBN:9781728109626
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
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