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master's thesis
Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom
2019. urn:nbn:hr:137:232101
Šajina, Robert
University of Pula
Faculty of Informatics in Pula

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Šajina, R. (2019). Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom (Master's thesis). Pula: University of Pula. Retrieved from https://urn.nsk.hr/urn:nbn:hr:137:232101

Šajina, Robert. "Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom." Master's thesis, University of Pula, 2019. https://urn.nsk.hr/urn:nbn:hr:137:232101

Šajina, Robert. "Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom." Master's thesis, University of Pula, 2019. https://urn.nsk.hr/urn:nbn:hr:137:232101

Šajina, R. (2019). 'Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom', Master's thesis, University of Pula, accessed 24 November 2024, https://urn.nsk.hr/urn:nbn:hr:137:232101

Šajina R. Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom [Master's thesis]. Pula: University of Pula; 2019 [cited 2024 November 24] Available at: https://urn.nsk.hr/urn:nbn:hr:137:232101

R. Šajina, "Usporedba radnih karakteristika konsenzus algoritama računalnom simulacijom", Master's thesis, University of Pula, Pula, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:137:232101

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Metadata
TitleUsporedba radnih karakteristika konsenzus algoritama računalnom simulacijom
Title (english)Performance comparison of consensus algorithms with computer simulation
AuthorRobert Šajina
MentorSiniša Sovilj (mentor)
MentorNikola Tanković (mentor)
Committee memberGiorgio Sinković (predsjednik povjerenstva)
Committee memberSiniša Sovilj (član povjerenstva)
Committee memberNikola Tanković (član povjerenstva)
Committee memberDarko Etinger (član povjerenstva)
GranterUniversity of Pula
(Faculty of Informatics in Pula)
Pula
Defense date and country2019-07-05, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Information Systems and Information Science
Abstract
Blockchain je u proteklih nekoliko godina dobio široku pozornost zbog njegove primjene na kripto valutama i tehnologijama distribuiranih knjiga (Distributed Ledger), kao što su Bitcoin i Ethereum. Složena i decentralizirana priroda blockchain tehnologija otežava razumijevanje ponašanja pojedinih komponenata i njihovog učinka na blockchain sustav. Dolaskom novih konsenzus algoritama, kao što je Proof of Authority (PoA), razumijevanje ovog složenog sustava postaje izazovan zadatak. U ovom radu predlažemo PoASim, podesiv, diskretni simulacijski alat za simulaciju dvaju glavnih PoA algoritama, nazvanih Clique i Aura. PoASim može pomoći korisnicima da bolje razumiju temeljne slojeve Ethereum blockchain-a, kao i razumijevanje razlika konsenzusa i nedostataka između dva konsenzus algoritma. PoASim tako može poslužiti kao koristan alat za bolje razumijevanje ponašanja svakog konsenzusa pokretanjem simulacija s različitim parametrima i analizom ponašanja sustava.
Abstract (english)
Blockchain have received widespread attention over the past few years because of its application on cryptocurrencies and Distributed Ledger technologies, such as Bitcoin and Ethereum. Complex and decentralized nature of blockchain technologies makes it difficult to understand behaviors of individual components and their effect on the blockchain system. With the arrival of new consensus algorithms, such as Proof-of-Authority (PoA), understanding this complex system becomes a challenging task. In this thesis, we propose PoASim, configurable, discrete-event simulation tool for simulating two of the main PoA algorithms, named Clique and Aura. PoASim can help users better understand the underlying layers of the Ethereum blockchain, as well as understanding consensus differences and drawbacks between the two consensus algorithms. PoASim can thus serve as a useful tool for better understanding behavior of each consensus by running simulations with varying parameters and then analyzing the system behavior.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:137:232101
Study programmeTitle: Informatics; specializations in: Informatics
Course: Informatics
Study programme type: university
Study level: graduate
Academic / professional title: MAGISTAR/MAGISTRA INFORMATIKE - MAG.INF. (MAGISTAR/MAGISTRA INFORMATIKE - MAG.INF.)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-07-16 12:10:45