Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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.
Original language | English |
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Title of host publication | Computational Science and Its Applications – ICCSA 2021 - 21st International Conference, Proceedings |
Editors | Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria Rocha, Eufemia Tarantino, Carmelo Maria Torre |
Publisher | Springer Nature |
Pages | 56-71 |
Number of pages | 16 |
ISBN (Print) | 9783030869724 |
DOIs | |
State | Published - 2021 |
Event | 21st International Conference on Computational Science and Its Applications, ICCSA 2021 - Virtual, Online, Italy Duration: 13 Sep 2021 → 16 Sep 2021 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12952 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 21st International Conference on Computational Science and Its Applications, ICCSA 2021 |
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Abbreviated title | ICCSA 2021 |
Country/Territory | Italy |
City | Virtual, Online |
Period | 13/09/21 → 16/09/21 |
ID: 86373520