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Performance Evaluation Experiments of Bitcoin SV Scaling Test Network

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Advances in Intelligent Networking and Collaborative Systems (INCoS 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 527))

Abstract

Bitcoin SV Scaling Test Network (STN) is an experimental network for testing Bitcoin scalability using on-chain technology. A large amount of transactions are always sent to the peer-to-peer network, and huge blocks are constantly generated. In this study, by running our STN node, occupancy rate of transaction processing and blockchain split probability are estimated. As a result, the estimated occupancy rate was about 1.04 and the estimated split probability was 8.5%. In addition, transaction processing performance was experimentally evaluated by sending transactions including OP_RETURN script as frequently as once per minute during one week. As a result, the estimated probability that a transaction was finally approved was 98%. We also confirmed that the distribution of latency time until a transaction is approved follows a power-law distribution at the high tail. From these results, we concluded that it is consistent to analyze STN using the theory of priority queueing.

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Notes

  1. 1.

    Bitcoin Core https://github.com/bitcoin/bitcoin.

  2. 2.

    Bitcoin SV (Satoshi Vision) https://github.com/bitcoin-sv/bitcoin-sv.

  3. 3.

    Bitcoin Scaling Test Network https://bitcoinscaling.io/.

  4. 4.

    WhatsOnChain.com, BSV Explorer - STN https://stn.whatsonchain.com/.

  5. 5.

    Flight Tracker—Flightradar24—Track Planes in Real-time https://www.flightradar24.com/.

  6. 6.

    https://github.com/cit-fujihalab/stn_experiments.

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Acknowledgements

This work was partially supported by the Japan Society for the Promotion of Science (JSPS) through KAKENHI (Grants-in-Aid for Scientific Research) Grant # 20K11797.

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Authors and Affiliations

  1. Chiba Institute of Technology, 2-17-1 Tsudanuma, Narashino, Chiba, 275-0016, Japan

    Akihiro Fujihara & Takaaki Yanagihara

Authors
  1. Akihiro Fujihara
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  2. Takaaki Yanagihara
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Correspondence to Akihiro Fujihara .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. School of Science and Technology, Kwansei Gakuin University, Sanda, Japan

    Hiroyoshi Miwa

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Fujihara, A., Yanagihara, T. (2022). Performance Evaluation Experiments of Bitcoin SV Scaling Test Network. In: Barolli, L., Miwa, H. (eds) Advances in Intelligent Networking and Collaborative Systems. INCoS 2022. Lecture Notes in Networks and Systems, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-14627-5_15

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