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E-commerce Blockchain Consensus Mechanism for Supporting High-Throughput and Real-Time Transaction

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Abstract

Transactions may be altered, which leads to low credibility of transactions that restricts the rapid development and popularization of E-commerce. Although blockchain can ensure high stability and credibility of data, existing solutions still have some significant scalability barriers, such as low-throughput and high-latency. To improve credibility, this paper presents an e-commerce blockchain consensus mechanism (EBCM). EBCM does not rely on computing power and token but with the same level of security and credibility as Nakamoto consensus. Meanwhile, EBCM achieves real-time transaction and high-throughput. By introducing validation blockchain, we can ensure transactions cannot be altered. In order to realize high-throughput and real-time transaction, this paper constructs a two-layer blockchain. EBCM has been compared with Bitcoin in performance, and demonstrates better on throughput, latency.

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Acknowledgment

This work is partially supported y SFC o.61572295; the Innovation Method Fund of China No. 2015IM010200; SDNSFC No.ZR2014FM031; the Science and Technology Development Plan Project of Shandong Province No. 2015GGX101015; the Shandong Province Independent Innovation Major Special Project No. 2015ZDXX0201B03.

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Correspondence to Qingzhong Li .

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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xu, Y., Li, Q., Min, X., Cui, L., Xiao, Z., Kong, L. (2017). E-commerce Blockchain Consensus Mechanism for Supporting High-Throughput and Real-Time Transaction. In: Wang, S., Zhou, A. (eds) Collaborate Computing: Networking, Applications and Worksharing. CollaborateCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-319-59288-6_46

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  • DOI: https://doi.org/10.1007/978-3-319-59288-6_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59287-9

  • Online ISBN: 978-3-319-59288-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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