Presentation 2021-03-04
Bitcoin Scaling Test Network Performance Evaluation Experiment
Akihiro Fujihara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Bitcoin Scaling Test Network (STN) is an experimental network to solve the scalability problem of Bitcoin by using on-chain technology. A large number of transactions are constantly sent over the P2P network, and miners generate huge blocks. In this study, we estimated the occupancy rate of transaction processing and the fork probability of the blockchain by constructing STN nodes. As a result, the estimated occupancy rate was about 1.04 and the estimated fork probability was 8.5%. In addition, we experimentally evaluated the transaction processing performance by transferring many transactions containing the OP_RETURN script once per minute for one week. As a result, the transaction processing probability was 98%, and the latency distribution for transaction processing tends to follow a power distribution in the long period. These results suggest that the priority queueing theory is also effective for STN.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Bitcoin / Blockchain / Scalability
Paper # IN2020-69
Date of Issue 2021-02-25 (IN)

Conference Information
Committee IN / NS
Conference Date 2021/3/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Kenji Ishida(Hiroshima City Univ.) / Akihiro Nakao(Univ. of Tokyo)
Vice Chair Kunio Hato(Internet Multifeed) / Tetsuya Oishi(NTT)
Secretary Kunio Hato(Hiroshima City Univ.) / Tetsuya Oishi(KDDI Research)
Assistant / Shinya Kawano(NTT)

Paper Information
Registration To Technical Committee on Information Networks / Technical Committee on Network Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bitcoin Scaling Test Network Performance Evaluation Experiment
Sub Title (in English)
Keyword(1) Bitcoin
Keyword(2) Blockchain
Keyword(3) Scalability
1st Author's Name Akihiro Fujihara
1st Author's Affiliation Chiba Institute of Technology(CIT)
Date 2021-03-04
Paper # IN2020-69
Volume (vol) vol.120
Number (no) IN-414
Page pp.pp.91-96(IN),
#Pages 6
Date of Issue 2021-02-25 (IN)