Towards a blockchain deployment at UAE University: Performance evaluation and blockchain taxonomy

Leila Ismail, Heba Hameed, Mahra Aishamsi, Manayer Aihammadi, Noura Aidhanhani

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

33 Citations (Scopus)

Abstract

Blockchain technology initially developed for transactions on cryptocurrencies is now gaining popularity in major domains such as education, healthcare, media, government, smart computing, and business enterprise. Blockchain manages the transactions database in a decentralized way replicated on all the nodes with no single governing authority. In this paper, we present a classification and taxonomy of different blockchain development platforms and simulators along with their consensus protocols, the types of supported blockchain networks and programming languages. We also assess the performance of a blockchain application for deployment at the UAE University (UAEU) versus increasing number of nodes, blocks and block size, on top of experimental network latencies and bandwidth between the nodes. Our results show that a large-scale deployment of blockchain at UAEU is feasible.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages30-38
Number of pages9
ISBN (Print)9781450362689
DOIs
Publication statusPublished - 2019
Event2019 International Conference on Blockchain Technology, ICBCT 2019 - Honolulu, United States
Duration: Mar 15 2019Mar 18 2019

Publication series

NameACM International Conference Proceeding Series
VolumePart F148153

Conference

Conference2019 International Conference on Blockchain Technology, ICBCT 2019
Country/TerritoryUnited States
CityHonolulu
Period3/15/193/18/19

Keywords

  • Blockchain
  • Performance
  • Taxonomy

ASJC Scopus subject areas

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

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