Published October 1, 2022 | Version v1
Journal article Open

End-to-End Latency Analysis and Optimal Block Size of Proof-of-Work Blockchain Applications

  • 1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Description

Due to the increasing interest in blockchain technology for fostering secure, auditable, decentralized applications, a set of challenges associated with this technology need to be addressed. In this letter, we focus on the delay associated with Proof-of-Work (PoW)-based blockchains, whereby participants validate the new information to be appended to a distributed ledger via consensus to confirm transactions. We propose a novel end-to-end latency model based on batch-service queuing theory that characterizes timers and forks for the first time. Furthermore, we derive an estimation of the optimal block size analytically. Endorsed by analytical and simulation results, we show that the optimal block size approximation is a consistent method that leads to close-to-optimal performance by significantly reducing the overheads associated with blockchain applications. IEEE

Notes

This work has been partially funded by the IN CERCA grant from the Secretaria d'Universitats i Re-cerca del departament d'Empresa i Coneixement de la Generalitat de Catalunya, by the Spanish grant PID2020-113832RB-C22(ORIGIN)/AEI/10.13039/501100011033, and by the European Union's Horizon 2020 research and inno-vation programmes under Grants Agreements No. 953775 (GREENEDGE) and No. 101017171 (MARSAL). © 2022, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work.

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Funding

European Commission
MARSAL - MACHINE LEARNING-BASED, NETWORKING AND COMPUTING INFRASTRUCTURE RESOURCE MANAGEMENT OF 5G AND BEYOND INTELLIGENT NETWORKS 101017171
European Commission
GREENEDGE - Taming the environmental impact of mobile networks through GREEN EDGE computing platforms 953775