,
Ehud Shapiro
Creative Commons Attribution 4.0 International license
Recent research in consensus has often focussed on protocols for State-Machine-Replication (SMR) that can handle high throughputs. Such state-of-the-art protocols (generally DAG-based) induce undue overhead when the needed throughput is low, or else exhibit unnecessarily-poor latency and communication complexity during periods of low throughput. Here we present Morpheus Consensus, which naturally morphs from a quiescent low-throughput leaderless blockchain protocol to a high-throughput leader-based DAG protocol and back, excelling in latency and complexity in both settings. During high-throughout, Morpheus pars with state-of-the-art DAG-based protocols, including Autobahn [Giridharan et al., 2024]. During low-throughput, Morpheus exhibits competitive complexity and lower latency than standard protocols such as PBFT [Castro et al., 1999] and Tendermint [Buchman, 2016; Buchman et al., 2018], which in turn do not perform well during high-throughput. The key idea of Morpheus is that as long as blocks do not conflict (due to Byzantine behaviour, network delays, or high-throughput simultaneous production) it produces a forkless blockchain, promptly finalizing each block upon arrival. It assigns a leader only if one is needed to resolve conflicts, in a manner and with performance not unlike Autobahn.
@InProceedings{lewispye_et_al:LIPIcs.OPODIS.2025.35,
author = {Lewis-Pye, Andrew and Shapiro, Ehud},
title = {{Morpheus Consensus: Excelling on Trails and Autobahns}},
booktitle = {29th International Conference on Principles of Distributed Systems (OPODIS 2025)},
pages = {35:1--35:20},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-409-3},
ISSN = {1868-8969},
year = {2026},
volume = {361},
editor = {Arusoaie, Andrei and Onica, Emanuel and Spear, Michael and Tucci-Piergiovanni, Sara},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2025.35},
URN = {urn:nbn:de:0030-drops-252086},
doi = {10.4230/LIPIcs.OPODIS.2025.35},
annote = {Keywords: Distributed computing, consensus, quiescence}
}