Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool

Several studies have been carried out to improve the blockchain’s Proof of Work (PoW) consensus method because it weakens its consensus latency. This is in addition to the introduction of consensus mechanisms, ranging from Proof of Stake (PoS) to Flexible Proof of Activity (PoA). However, these mech...

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Main Authors: Soesanto, Daniel, Adji, Teguh Bharata, Ardiyanto, Igi
Format: Conference or Workshop Item PeerReviewed
Language:English
Published: 2022
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Online Access:https://repository.ugm.ac.id/279142/1/Soesanto_TK.pdf
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Institution: Universitas Gadjah Mada
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spelling id-ugm-repo.2791422023-11-02T05:39:12Z https://repository.ugm.ac.id/279142/ Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool Soesanto, Daniel Adji, Teguh Bharata Ardiyanto, Igi Electrical and Electronic Engineering Several studies have been carried out to improve the blockchain’s Proof of Work (PoW) consensus method because it weakens its consensus latency. This is in addition to the introduction of consensus mechanisms, ranging from Proof of Stake (PoS) to Flexible Proof of Activity (PoA). However, these mechanisms are unable to increase latency significantly. In this study, an adaptive PoW framework design was developed by applying multiple mempool, which impact differences in the transaction speed of each transaction. The proposed method can facilitate different levels of consensus difficulty in each transaction. The difficulty level adjustment in PoW is based on collected and processed transaction data to obtain the level of importance in each transaction. The difficulty level in baseline PoW is used as the maximum level of the developed adaptive process, followed by their definition. Finally, higher difficulty levels are assigned to more critical transactions and vice versa. Therefore, the latency will increase as the consensus difficulty level rises and vice versa. Initial simulation results showed that when tested with 6,000 transaction data, the adaptive PoW framework design can increase the average number of transactions per second by up to 400%. 2022 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/279142/1/Soesanto_TK.pdf Soesanto, Daniel and Adji, Teguh Bharata and Ardiyanto, Igi (2022) Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool. In: 2022 International Conference on Advanced Creative Networks and Intelligent Systems (ICACNIS), 23 November 2022, Bandung, Indonesia. https://ieeexplore.ieee.org/document/10054940/authors#authors
institution Universitas Gadjah Mada
building UGM Library
continent Asia
country Indonesia
Indonesia
content_provider UGM Library
collection Repository Civitas UGM
language English
topic Electrical and Electronic Engineering
spellingShingle Electrical and Electronic Engineering
Soesanto, Daniel
Adji, Teguh Bharata
Ardiyanto, Igi
Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool
description Several studies have been carried out to improve the blockchain’s Proof of Work (PoW) consensus method because it weakens its consensus latency. This is in addition to the introduction of consensus mechanisms, ranging from Proof of Stake (PoS) to Flexible Proof of Activity (PoA). However, these mechanisms are unable to increase latency significantly. In this study, an adaptive PoW framework design was developed by applying multiple mempool, which impact differences in the transaction speed of each transaction. The proposed method can facilitate different levels of consensus difficulty in each transaction. The difficulty level adjustment in PoW is based on collected and processed transaction data to obtain the level of importance in each transaction. The difficulty level in baseline PoW is used as the maximum level of the developed adaptive process, followed by their definition. Finally, higher difficulty levels are assigned to more critical transactions and vice versa. Therefore, the latency will increase as the consensus difficulty level rises and vice versa. Initial simulation results showed that when tested with 6,000 transaction data, the adaptive PoW framework design can increase the average number of transactions per second by up to 400%.
format Conference or Workshop Item
PeerReviewed
author Soesanto, Daniel
Adji, Teguh Bharata
Ardiyanto, Igi
author_facet Soesanto, Daniel
Adji, Teguh Bharata
Ardiyanto, Igi
author_sort Soesanto, Daniel
title Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool
title_short Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool
title_full Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool
title_fullStr Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool
title_full_unstemmed Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool
title_sort adaptive proof of work architecture design by implementing multiple mempool
publishDate 2022
url https://repository.ugm.ac.id/279142/1/Soesanto_TK.pdf
https://repository.ugm.ac.id/279142/
https://ieeexplore.ieee.org/document/10054940/authors#authors
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