Accelerating block propagation in PoW blockchain networks with pipelining and chunking

Kaushik Ayinala, Baek Young Choi, Sejun Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Blockchain is an open, verifiable, and distributed consensus of transactions among different parties, relying on P2P technology for connectivity between nodes. However, the long time of block propagation limits inceptions of another consensus. We propose a novel method that accelerates block propagation in PoW blockchain networks by pipelining message transaction and verifications in parallel over a network with chunks of a block (PiChu). We have conducted extensive evaluations to present the significance of the network pipelining with many parallel chunk connections. Various simulation results exhibit that the proposed method achieves significantly less latency of block propagation than traditional method as the size of a P2P network increases.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th Symposium on Hot Topics in the Science of Security, HotSoS 2020
PublisherAssociation for Computing Machinery
Pages119-120
Number of pages2
ISBN (Electronic)9781450375610
DOIs
StatePublished - Sep 21 2020
Externally publishedYes
Event7th Symposium on Hot Topics in the Science of Security, HotSoS 2020 - Lawrence, Virtual, United States
Duration: Sep 22 2020Sep 24 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th Symposium on Hot Topics in the Science of Security, HotSoS 2020
Country/TerritoryUnited States
CityLawrence, Virtual
Period9/22/209/24/20

Keywords

  • Block propagation
  • Blockchain networks
  • Chunking
  • Pipelining
  • Scalability

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Accelerating block propagation in PoW blockchain networks with pipelining and chunking'. Together they form a unique fingerprint.

Cite this