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The CAP theorem says that no blockchain can be live under dynamic participation and safe under temporary network partitions. To resolve this availability-finality dilemma, we formulate a new class of flexible consensus protocols,…

Cryptography and Security · Computer Science 2021-02-05 Joachim Neu , Ertem Nusret Tas , David Tse

Dynamically available total-order broadcast (TOB) protocols tolerate fluctuating participation, e.g., as high as 99% of their participants going offline, which is especially useful in permissionless blockchain environments. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-08 Francesco D'Amato , Giuliano Losa , Luca Zanolini

Classic BFT consensus protocols guarantee safety and liveness for all clients if fewer than one-third of replicas are faulty. However, in applications such as high-value payments, some clients may want to prioritize safety over liveness.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-05 Joachim Neu , Srivatsan Sridhar , Lei Yang , David Tse

This paper introduces Slipstream, a Byzantine Fault Tolerance (BFT) protocol where nodes concurrently propose blocks to be added to a Directed Acyclic Graph (DAG) and aim to agree on block ordering. Slipstream offers two types of block…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-23 Nikita Polyanskii , Sebastian Muller , Mayank Raikwar

Proof-of-stake blockchains require consensus protocols that support Dynamic Availability and Reconfiguration (so-called DAR setting), where the former means that the consensus protocol should remain live even if a large number of nodes…

Cryptography and Security · Computer Science 2025-10-07 Joachim Neu , Javier Nieto , Ling Ren

Gasper, the consensus protocol currently employed by Ethereum, typically requires 64 to 95 slots -- the units of time during which a new chain extending the previous one by one block is proposed and voted -- to finalize. This means that…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-04 Francesco D'Amato , Roberto Saltini , Thanh-Hai Tran , Luca Zanolini

Distributed consensus is integral to modern distributed systems. The widely adopted Paxos algorithm uses two phases, each requiring majority agreement, to reliably reach consensus. In this paper, we demonstrate that Paxos, which lies at the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-25 Heidi Howard , Dahlia Malkhi , Alexander Spiegelman

We introduce two models of consensus following a majority rule on time-evolving stochastic block models (SBM), in which the network evolution is Markovian or non-Markovian. Under the majority rule, in each round, each agent simultaneously…

Probability · Mathematics 2022-09-12 Haoyu Wang , Jiaheng Wei , Zhenyuan Zhang

A fundamental conflict of many proof-of-work systems is that they want to achieve inclusiveness and security at the same time. We analyze and resolve this conflict with a theory of proof-of-work quorums, which enables a new bridge between…

Cryptography and Security · Computer Science 2020-02-24 Patrik Keller , Rainer Böhme

An urgent demand of deploying BFT consensus over the Internet is raised for implementing blockchain services. The deterministic (partial) synchronous protocols can be simple and fast in good network conditions, but are subject to…

Cryptography and Security · Computer Science 2022-09-02 Yuan Lu , Zhenliang Lu , Qiang Tang

Distributed consensus, the ability to reach agreement in the face of failures, is a fundamental primitive for constructing reliable distributed systems. The Paxos algorithm is synonymous with consensus and widely utilized in production.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-03-08 Heidi Howard , Richard Mortier

There exist many forms of Blockchain finality conditions, from deterministic to probabilistic terminations. To favor availability against consistency in the face of partitions, most blockchains only offer probabilistic eventual finality:…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-12-21 Emmanuelle Anceaume , Antonella Pozzo , Thibault Rieutord , Sara Tucci-Piergiovanni

Data store replication results in a fundamental trade-off between operation latency and data consistency. In this paper, we examine this trade-off in the context of quorum-replicated data stores. Under partial, or non-strict quorum…

Achieving low-latency consensus in geographically distributed systems remains a key challenge for blockchain and distributed database applications. To this end, there has been significant recent interest in State-Machine-Replication (SMR)…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-28 Brendan Kobayashi Chou , Andrew Lewis-Pye , Patrick O'Grady

Quorum systems are useful tools for implementing consistent and available storage in the presence of failures. These systems usually comprise a static set of servers that provide a fault-tolerant read/write register accessed by a set of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-20 Eduardo Alchieri , Alysson Bessani , Fabiola Greve , Joni Fraga

In this paper we extend the \emph{Multidimensional Byzantine Agreement (MBA) Protocol}, a {leaderless} Byzantine agreement for lists of arbitrary values, into a protocol suitable for wide gossiping networks: \emph{Cob}. This generalization…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-11 Andrea Flamini , Riccardo Longo , Alessio Meneghetti

We propose a group membership service for dynamic ad hoc networks. It maintains as long as possible the existing groups and ensures that each group diameter is always smaller than a constant, fixed according to the application using the…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-12 Bertrand Ducourthial , Sofiane Khalfallah , Franck Petit

This paper presents Timed Quorum System (TQS), a new quorum system especially suited for large-scale and dynamic systems. TQS requires that two quorums intersect with high probability if they are used in the same small period of time. It…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-02-06 Vincent Gramoli , Michel Raynal

Currently, Gasper, the implemented consensus protocol of Ethereum, takes between 64 and 95 slots to finalize blocks. Because of that, a significant portion of the chain is susceptible to reorgs. The possibility to capture MEV (Maximum…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-08-16 Francesco D'Amato , Luca Zanolini

Quorum design over asymmetric topologies conflates two independent concerns: inter-tier obligation (which tiers must participate for cross-tier safety) and intra-tier replication (how each tier survives local failures). Flat quorums treat…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-03 Tony Mason
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