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Transaction-Confirmation Time for Bitcoin: A Queueing Analytical Approach to Blockchain Mechanism

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Queueing Theory and Network Applications (QTNA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10591))

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Abstract

Bitcoin is a virtual currency based on a transaction-ledger database called blockchain. The blockchain is maintained and updated by mining process in which a number of nodes called miners compete for finding answers of very difficult puzzle-like problem. Transactions issued by users are grouped into a block, and the block is added to the blockchain when an algorithmic puzzle specialized for the block is solved. A recent study reveals that newly arriving transactions are not included in the block being under mining. In this paper, we model the mining process with a queueing system with batch service, analyzing the transaction-confirmation time. We consider an \(M/\text{ G }^B/1\) with batch service, in which a newly arriving transaction cannot enter the service facility even when the number of transactions in the service facility does not reach the maximum batch size, i.e., the block-size limit. In this model, the sojourn time of a transaction corresponds to its confirmation time. We consider the joint distribution of the number of transactions in system and the elapsed service time, deriving the mean transaction-confirmation time. In numerical examples, we show how the block-size limit affects the transaction-confirmation time.

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References

  1. Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System (2008). https://bitcoin.org/bitcoin.pdf

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Acknowledgments

This research was supported in part by SCAT Foundation, and Japan Society for the Promotion of Science under Grant-in-Aid for Scientific Research (B) No. 15H04008.

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Correspondence to Yoshiaki Kawase .

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Kawase, Y., Kasahara, S. (2017). Transaction-Confirmation Time for Bitcoin: A Queueing Analytical Approach to Blockchain Mechanism. In: Yue, W., Li, QL., Jin, S., Ma, Z. (eds) Queueing Theory and Network Applications. QTNA 2017. Lecture Notes in Computer Science(), vol 10591. Springer, Cham. https://doi.org/10.1007/978-3-319-68520-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-68520-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68519-9

  • Online ISBN: 978-3-319-68520-5

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