PyIncentiveBC: A Python Module for Simulation of Incentivization Mechanism Implemented in Blockchain-Based Systems-Reference-Cited by-同舟云学术

PyIncentiveBC: A Python Module for Simulation of Incentivization Mechanism Implemented in Blockchain-Based Systems

Published:2024-09-03 Issue:9 Volume:12 Page:179
ISSN:2079-3197
Container-title:Computation
language:en
Short-container-title:Computation

Author:

Ouaguid Abdellah¹^ORCID,Hanine Mohamed²^ORCID,Chiba Zouhair³^ORCID,Abghour Noreddine³^ORCID,Ouzzif Mohammed⁴^ORCID

Affiliation:

1. 2IACS Laboratory, ENSET of Mohammedia, Hassan II University of Casablanca, Casablanca 20000, Morocco

2. LTI Laboratory, National School of Applied Sciences, Chouaib Doukkali University, El Jadida 24000, Morocco

3. LIS Labs, FSAC, Hassan II University of Casablanca, Casablanca 20000, Morocco

4. C3S Laboratory, ESTC, Hassan II University of Casablanca, Casablanca 20000, Morocco

Abstract

The diversity of approaches for retaining participants in a Blockchain-based system complicates benchmarking. The majority of proposals for rewarding and penalizing participants in these systems are limited to their own set of data and scenarios, making it hard to compare their effectiveness. To overcome these challenges, we developed PyIncentiveBC, a free, open-source, and modular simulator designed to evaluate the reliability of any approach, incorporating a dynamic and proportionate incentivization mechanism proposed in our previous work. PyIncentiveBC aims to provide the scientific communities with an extensible software solution facilitating the benchmarking of existing approaches with new ones proposed by them.

Publisher

MDPI AG

Link

https://www.mdpi.com/2079-3197/12/9/179/pdf

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