A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network

Muntadher Fadhil Sallal; Gareth Owenson; Mo Adda

doi:10.1109/CSE-EUC-DCABES.2016.226

A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network

Muntadher Fadhil Sallal
, Gareth Owenson
, Mo Adda

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Bitcoin is a digital currency based on peer-to-peer network to propagate and verify transactions. Bitcoin differs from traditional currencies in that, it does not rely on a centralised authority. In this paper, we present a simulation model of Bitcoin peer-to-peer network which is an event based simulation. Large scale measurements of the real Bitcoin network are performed in order to enable a precise parameterisation of the presented simulation model. In addition, we perform validation results revealing that the presented simulation model behaves as close as the real Bitcoin network. Based on the developed simulation model, evaluation of our proposed Bitcoin Clustering Based Super Node (BCBSN) protocol as a mechanism to speed up information propagation in Bitcoin network is presented. Evaluation results show that the presented clustering protocol is able to reduce the transaction propagation delay with a reasonable proportion.

Original language	English
Title of host publication	2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	468-475
Number of pages	8
ISBN (Electronic)	978-1-5090-3593-9
ISBN (Print)	978-1-5090-3594-6
DOIs	https://doi.org/10.1109/CSE-EUC-DCABES.2016.226
Publication status	Published - 17 Jul 2017
Event	2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) - Paris, France Duration: 24 Aug 2016 → 26 Aug 2016

Conference

Conference	2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)
Country/Territory	France
City	Paris
Period	24/08/16 → 26/08/16

Keywords

propagation delay
simulation validation
clustering evaluation

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10.1109/CSE-EUC-DCABES.2016.226

Cite this

Sallal, M. F., Owenson, G., & Adda, M. (2017). A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network. In 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) (pp. 468-475). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CSE-EUC-DCABES.2016.226

Sallal, Muntadher Fadhil ; Owenson, Gareth ; Adda, Mo. / A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network. 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES). Institute of Electrical and Electronics Engineers Inc., 2017. pp. 468-475

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title = "A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network",

abstract = "Bitcoin is a digital currency based on peer-to-peer network to propagate and verify transactions. Bitcoin differs from traditional currencies in that, it does not rely on a centralised authority. In this paper, we present a simulation model of Bitcoin peer-to-peer network which is an event based simulation. Large scale measurements of the real Bitcoin network are performed in order to enable a precise parameterisation of the presented simulation model. In addition, we perform validation results revealing that the presented simulation model behaves as close as the real Bitcoin network. Based on the developed simulation model, evaluation of our proposed Bitcoin Clustering Based Super Node (BCBSN) protocol as a mechanism to speed up information propagation in Bitcoin network is presented. Evaluation results show that the presented clustering protocol is able to reduce the transaction propagation delay with a reasonable proportion.",

keywords = "propagation delay, simulation validation, clustering evaluation",

author = "Sallal, \{Muntadher Fadhil\} and Gareth Owenson and Mo Adda",

year = "2017",

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doi = "10.1109/CSE-EUC-DCABES.2016.226",

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booktitle = "2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) ; Conference date: 24-08-2016 Through 26-08-2016",

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Sallal, MF, Owenson, G & Adda, M 2017, A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network. in 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES). Institute of Electrical and Electronics Engineers Inc., pp. 468-475, 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES) , Paris, France, 24/08/16. https://doi.org/10.1109/CSE-EUC-DCABES.2016.226

A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network. / Sallal, Muntadher Fadhil; Owenson, Gareth; Adda, Mo.
2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES). Institute of Electrical and Electronics Engineers Inc., 2017. p. 468-475.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network

AU - Sallal, Muntadher Fadhil

AU - Owenson, Gareth

AU - Adda, Mo

PY - 2017/7/17

Y1 - 2017/7/17

N2 - Bitcoin is a digital currency based on peer-to-peer network to propagate and verify transactions. Bitcoin differs from traditional currencies in that, it does not rely on a centralised authority. In this paper, we present a simulation model of Bitcoin peer-to-peer network which is an event based simulation. Large scale measurements of the real Bitcoin network are performed in order to enable a precise parameterisation of the presented simulation model. In addition, we perform validation results revealing that the presented simulation model behaves as close as the real Bitcoin network. Based on the developed simulation model, evaluation of our proposed Bitcoin Clustering Based Super Node (BCBSN) protocol as a mechanism to speed up information propagation in Bitcoin network is presented. Evaluation results show that the presented clustering protocol is able to reduce the transaction propagation delay with a reasonable proportion.

AB - Bitcoin is a digital currency based on peer-to-peer network to propagate and verify transactions. Bitcoin differs from traditional currencies in that, it does not rely on a centralised authority. In this paper, we present a simulation model of Bitcoin peer-to-peer network which is an event based simulation. Large scale measurements of the real Bitcoin network are performed in order to enable a precise parameterisation of the presented simulation model. In addition, we perform validation results revealing that the presented simulation model behaves as close as the real Bitcoin network. Based on the developed simulation model, evaluation of our proposed Bitcoin Clustering Based Super Node (BCBSN) protocol as a mechanism to speed up information propagation in Bitcoin network is presented. Evaluation results show that the presented clustering protocol is able to reduce the transaction propagation delay with a reasonable proportion.

KW - propagation delay

KW - simulation validation

KW - clustering evaluation

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DO - 10.1109/CSE-EUC-DCABES.2016.226

M3 - Conference contribution

SN - 978-1-5090-3594-6

SP - 468

EP - 475

BT - 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES)

Y2 - 24 August 2016 through 26 August 2016

ER -

Sallal MF, Owenson G, Adda M. A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network. In 2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES). Institute of Electrical and Electronics Engineers Inc. 2017. p. 468-475 doi: 10.1109/CSE-EUC-DCABES.2016.226

A Bitcoin model for evaluation of clustering to improve propagation delay in Bitcoin network

Abstract

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Keywords

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