Impact of Network Load on Direct Acyclic Graph Based Blockchain for Internet of Things

Cao, B., Huang, S., Feng, D., Zhang, L. , Zhang, S. and Peng, M. (2020) Impact of Network Load on Direct Acyclic Graph Based Blockchain for Internet of Things. In: CyberC 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Guilin, China, 17-19 Oct 2019, ISBN 9781728125428 (doi:10.1109/CyberC.2019.00044)

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Abstract

In this paper, we investigate the impact of network load on the Direct Acyclic Graph (DAG) consensus process for the blockchain enabled Internet of Things. Specifically, Markov chain model has been adopted to illustrate the dynamics in the consensus process for DAG based blockchain networks. The key performance metrics including cumulative weight and transaction confirmation delay are analysed under the unsteady state caused by the fluctuation of transaction arrival rate. The analysis is based on one of the most typical DAGs, Tangle, and the results show that the performance will be affected when the transaction arrival rate fluctuates widely.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei
Authors: Cao, B., Huang, S., Feng, D., Zhang, L., Zhang, S., and Peng, M.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781728125428
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