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FAST: A MapReduce Consensus for High Performance Blockchains
KHAN, Nida
2018In ACM BlockSys'18 Proceedings of the 1st Workshop on Blockchain-enabled Networked Sensor Systems
Peer reviewed
 

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Keywords :
Blockchain; Consensus; Elliptic Curve Cryptography; Lamport's Logical Clocks; MapReduce; Round Robin
Abstract :
[en] Blockchain platforms when used as a database for IoT systems can resolve data reliability fault-tolerance, consistency and non-repudiation issues. However, their inherent shortcomings related to their throughput in terms of processed transactions, limit their applicability in such environments in a decentralized way as the underlying network is unable to sustain high workloads. In this paper a fully decentralized high performance consensus mechanism, named FAST, is proposed for a public blockchain. FAST is based on mapreduce paradigm for aggregating and adding transactions on blockchain blocks. FAST was implemented and evaluated in a basic blockchain prototype. A light client for FAST using IPFS, was developed to bring about a reduction in the data stored locally. The obtained results from tests conducted on the prototype depict that FAST exceeds the performance of not just other existing blockchain platforms but comes very close to the throughput of traditional electronic payment networks such as Visa.
Disciplines :
Computer science
Author, co-author :
KHAN, Nida ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
no
Language :
English
Title :
FAST: A MapReduce Consensus for High Performance Blockchains
Publication date :
04 November 2018
Event name :
BlockSys@SenSys '18
Event organizer :
ACM SenSys
Event place :
Shenzhen, China
Event date :
4-11-2018
Audience :
International
Journal title :
ACM BlockSys'18 Proceedings of the 1st Workshop on Blockchain-enabled Networked Sensor Systems
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR11617092 - Data Analytics And Smart Contracts For Traceability In Finance, 2017 (01/03/2017-31/01/2021) - Nida Khan
Available on ORBilu :
since 03 December 2018

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