DOI

P2P networks along with the other distributed systems need to satisfy the strict requirement of efficiency in terms of the information propagation process. Fast message transmission affects the whole network functionality which includes data processing, attacks robustness, topology changes, etc. In this paper we consider the most wide-spread gossip-based network protocols, explore and compare several approaches to improve the information dissemination model. We describe the Neo blockchain network protocol which extends gossip algorithms for message propagation over the P2P network. Based on the imitation modelling results, we build a network protocol model of the Neo blockchain and evaluate the Neo network protocol efficiency in terms of reactive message processing in several scenarios, propose protocol enhancements and evaluate resulting performance gain.

Язык оригиналаанглийский
Название основной публикацииComputational Science and Its Applications – ICCSA 2021 - 21st International Conference, Proceedings
РедакторыOsvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre
ИздательSpringer Nature
Страницы56-71
Число страниц16
ISBN (печатное издание)9783030869724
DOI
СостояниеОпубликовано - 2021
Событие21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online, Италия
Продолжительность: 13 сен 202116 сен 2021

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том12952 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция21st International Conference on Computational Science and Its Applications, ICCSA 2021
Сокращенное названиеICCSA 2021
Страна/TерриторияИталия
ГородVirtual, Online
Период13/09/2116/09/21

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 86373520