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Latency-optimized distributed storage for blockchain in IoT network

University of British Columbia

The architecture of integrating blockchain with Industry 4.0 IoT network has emerged in recent years. Industry 4.0 refers to the new concept of intelligent manufacturing paradigm, including Internet of Things (IoT), Cloud computing and Cyber-Physical System (CPS). Blockchain is a decentralized, distributed ledger system used to record transactions across multiple participants. Blockchain offers a way of recording data that is designed to be secure, reliable and auditable, which makes it a preferred solution for securing IoT network. However, traditional blockchain suffers from storage scalability issue because each blockchain node stores the entire blockchain. The storage scalability problem can be even worse when blockchain is used in IoT network due to the high volume of data generated by massive number of IoT sensors. In this thesis, we propose a distributed storage architecture for blockchain based on erasure coding. The property of erasure coding makes it possible to greatly reduce storage overhead for each node without affecting the overall data integrity. Furthermore, to minimize the latency of rebuilding data in this distributed storage architecture, we formulate a latency-cost trade-off optimization problem and propose an efficient and scalable algorithm. Simulation results show that our architecture can achieve up to 80% latency reduction compared with other widely used distributed storage architectures. In addition, our architecture can save up to 90% storage space for each node, which removes the largest obstacle for integrating blockchain into IoT network.

Text

2019-04-01

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/69383

Electrical Engineering

University of British Columbia

UBCO

http://creativecommons.org/licenses/by-nc-nd/4.0/