Miguel Matos
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Assistant Professor
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About
Dr. Miguel Matos is an Assistant Professor at Instituto Superior Técnico in Portugal. His research focuses on decentralized systems, consensus algorithms, and the optimization of blockchain technologies. Recent publications include works on BFT consensus mechanisms, network emulation for large-scale systems, and enhancements to cryptocurrency processes in general-purpose permissionless blockchains.
Recent Grants
Grant: Close
Ainur: Evaluation of crash-consistency guarantees in multi-threaded PM applications
Open Date: 2022-01-17
Close Date: 2025-01-16
Grant: Close
Automating Crash-Consistency Testing for Persistent Memory
Open Date: 2020-10-01
Close Date: 2021-09-01
Grant: Close
novaVM - New Java Virtual Machine for Big Data
Open Date: 2018-10-10
Close Date: 2021-10-09
Grant: Close
Cosmos: Coerência Causal na Periferia da Rede
Open Date: 2018-06-14
Close Date: 2021-06-13
Grant: Close
Angainor:
Open Date: 2018-06-01
Close Date:
Articles (3)
Year:
2025
Year:
2025
Nakamoto’s seminal work gave rise to permissionless blockchains, as well as a wide range of proposals to mitigate their performance shortcomings. Despite substantial throughput and energy efficiency achievements, most proposals only bring modest (or marginal) gains in transaction commit latency. Consequently, commit latencies in today’s permissionless blockchain landscape remain prohibitively high. This article proposes NimbleChain, a novel algorithm that extends permissionless blockchains based on Nakamoto consensus with a fast path that delivers causal promises of commitment or simply promises . Since promises only partially order transactions, their latency is only a small fraction of the totally ordered commitment latency of Nakamoto consensus. Still, the weak consistency guarantees of promises are strong enough to correctly implement cryptocurrencies. To the best of our knowledge, NimbleChain is the first system to bring together fast, partially ordered transactions with consensus-based, totally ordered transactions in a permissionless setting. This hybrid consistency model is able to speed up cryptocurrency transactions while still supporting smart contracts, which typically have (strong) sequential consistency needs. We implement NimbleChain as an extension of Ethereum and evaluate it in a 500-node geo-distributed deployment. The results show NimbleChain can promise a cryptocurrency transactions up to an order of magnitude faster than a vanilla Ethereum implementation, with marginal overheads.
Year:
2023
Collaborators (3)
Valerio Schiavoni
University of Neuchatel
João Barreto
-
Luis Rodrigues
Professor
Universidade de Lisboa Instituto Superior Técnico
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