Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool

Soesanto, Daniel and Adji, Teguh Bharata and Ardiyanto, Igi (2023) Adaptive Proof of Work Architecture Design by Implementing Multiple Mempool. In: 2022 International Conference on Advanced Creative Networks and Intelligent Systems (ICACNIS), 23-24 Nov 2022, Bandung (Hybrid).

PDF adaptive proof of work architecture design by implementing multiple mempool.pdf - Published Version Restricted to Repository staff only Download (626kB) | Request a copy

Abstract

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%.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Blockchain, proof of work, mempool, adaptive
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Faculty of Engineering > Department of Informatic Faculty of Engineering > Department of Information Technology
Depositing User:	DANIEL SOESANTO
Date Deposited:	06 Mar 2023 02:15
Last Modified:	06 Mar 2023 02:15
URI:	http://repository.ubaya.ac.id/id/eprint/43543

Actions (login required)

View Item