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Byzantine fault tolerant protocols enable state replication in the presence of crashed, malfunctioning, or actively malicious processes. Designing such protocols without the assistance of verification tools, however, is remarkably…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-23 Joel Wanner , Laurent Chuat , Adrian Perrig

Geographic state machine replication (SMR) is a replication method in which replicas of a service are located on multiple continents to improve the fault tolerance of a general service. Nowadays, geographic SMR is easily realized using…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-12 Shota Numakura , Junya Nakamura , Ren Ohmura

This paper presents Flutter, the first Byzantine Total Order Broadcast implementation with a broadcast-to-delivery latency of $2\Delta + \epsilon$ time units, $\Delta$ being the message delay and $\epsilon$ an arbitrarily small constant…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-21 Matteo Monti , Martina Camaioni , Pierre-Louis Roman

DAG-based BFT consensus has attracted growing interest in distributed data management systems for consistent replication in untrusted settings due to its high throughput and resilience to asynchrony. However, existing protocols still suffer…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-04 Shaokang Xie , Dakai Kang , Hanzheng Lyu , Jianyu Niu , Mohammad Sadoghi

In P2P systems, large volumes of data are declustered naturally across a large number of peers. But it is very difficult to control the initial data distribution because every user has the freedom to share any data with other users. The…

Networking and Internet Architecture · Computer Science 2010-09-24 S. Ayyasamy , S. N. Sivanandam

Internet-scale services rely on data partitioning and replication to provide scalable performance and high availability. Moreover, to reduce user-perceived response times and tolerate disasters (i.e., the failure of a whole datacenter),…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-04-21 Samuel Benz , Leandro Pacheco de Sousa , Fernando Pedone

Distributed learning has become a necessity for training ever-growing models by sharing calculation among several devices. However, some of the devices can be faulty, deliberately or not, preventing the proper convergence. As a matter of…

Machine Learning · Computer Science 2022-02-08 Jason Akoun , Sebastien Meyer

Arma is a Byzantine Fault Tolerant (BFT) consensus system designed to achieve linear scalability across all hardware resources: network bandwidth, CPU, and disk I/O. As opposed to preceding BFT protocols, Arma separates the dissemination…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-22 Yacov Manevich

Since the inception of Bitcoin, the distributed systems community has shown interest in the design of efficient blockchain systems. However, initial blockchain applications (like Bitcoin) attain very low throughput, which has promoted the…

Databases · Computer Science 2020-04-28 Suyash Gupta , Sajjad Rahnama , Mohammad Sadoghi

Vote-based blockchains construct a state machine replication (SMR) system among participating nodes, using Byzantine Fault Tolerance (BFT) consensus protocols to transition from one state to another. Currently, they rely on either…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-25 Yibin Xu , Jianhua Shao , Tijs Slaats , Boris Düdder , Yongluan Zhou

This paper proposes a Byzantine-resilient consensus-based distributed filter (BR-CDF) wherein network agents employ partial sharing of state parameters. We characterize the performance and convergence of the BR-CDF and study the impact of a…

Signal Processing · Electrical Eng. & Systems 2023-07-27 Ashkan Moradi , Vinay Chakravarthi Gogineni , Naveen K. D. Venkategowda , Stefan Werner

Parallel Byzantine Fault Tolerant (BFT) protocols based on committee-based sharding improve scalability but weaken safety since smaller node groups are responsible for consensus. Recent approaches integrate trusted execution environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-17 Yifei Xie , Btissam Er-Rahmadi , Xiao Chen , Tiejun Ma , Jane Hillston

As the network scale increases, existing fully distributed solutions start to lag behind the real-world challenges such as (1) slow information propagation, (2) network communication failures, and (3) external adversarial attacks. In this…

Machine Learning · Computer Science 2023-07-28 Connor Mclaughlin , Matthew Ding , Denis Edogmus , Lili Su

We study a distributed computation problem in the presence of Byzantine workers where a central node wishes to solve a task that is divided into independent sub-tasks, each of which needs to be solved correctly. The distributed computation…

Information Theory · Computer Science 2025-07-23 Aayush Rajesh , Nikhil Karamchandani , Vinod M. Prabhakaran

There is a resurgence of interest in Byzantine fault-tolerant (BFT) systems due to blockchains. However, leader-based BFT consensus protocols used by permissioned blockchains have limited scalability and robustness. To alleviate the leader…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-27 Fangyu Gai , Jianyu Niu , Ivan Beschastnikh , Chen Feng , Sheng Wang

We explore the property of equivocation tolerance for Conflict-Free Replicated Data Types (CRDTs). We show that a subclass of CRDTs is equivocation-tolerant and can thereby cope with any number of Byzantine faults: Without equivocation…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-11 Florian Jacob , Saskia Bayreuther , Hannes Hartenstein

Self-stabilization is a versatile approach to fault-tolerance since it permits a distributed system to recover from any transient fault that arbitrarily corrupts the contents of all memories in the system. Byzantine tolerance is an…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-04-29 Swan Dubois , Toshimitsu Masuzawa , Sébastien Tixeuil

Fault-tolerant replicated database systems consume less energy than the compute-intensive proof-of-work blockchain. Thus, they are promising technologies for the building blocks that assemble global financial infrastructure. To facilitate…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-11 Tejas Mane , Xiao Li , Mohammad Sadoghi , Mohsen Lesani

Self-stabilization is a versatile approach to fault-tolerance since it permits a distributed system to recover from any transient fault that arbitrarily corrupts the contents of all memories in the system. Byzantine tolerance is an…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-05-31 Swan Dubois , Toshimitsu Masuzawa , Sébastien Tixeuil

Virtual presence demands ultra-low latency, a factor that centralized architectures, by their nature, cannot minimize. Local peer-to-peer architectures offer a compelling alternative, but also pose unique challenges in terms of network…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-25 Abel Dantas , Carlos Baquero