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

Zi Ee Lee, Raphael Liang Hui Chua,Sye Loong Keoh,Yoshihiro Ohba

IEEE Global Communications Conference(2019)

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摘要
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.
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关键词
performance evaluation,Big Data processing,continuous monitoring,Internet-of-Things,IoT devices,computational resources,storage capacity,data transfer,efficient storage system,efficient IoT data processing,IoT-blockchain architecture,high CPU cost,fully distributed edge computing architecture,nonvolatile memory express over fabrics,NVMeOF,supply chain management,data security,data traceability,SATA storage interfaces,data nonrepudiation,IoT data integrity
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