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To ensure high availability in large scale distributed systems, Conflict-free Replicated Data Types (CRDTs) relax consistency by allowing immediate query and update operations at the local replica, with no need for remote synchronization.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-12 Vitor Enes , Paulo Sérgio Almeida , Carlos Baquero , João Leitão

Collaborative Data Sharing is widely noticed to be essential for distributed systems. Among several proposed strategies, conflict-free techniques are considered useful for serverless concurrent systems. They aim at making shared data be…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-02 Masato Takeichi

Conflict-free Replicated Data Types (CRDTs) allow optimistic replication in a principled way. Different replicas can proceed independently, being available even under network partitions, and always converging deterministically: replicas…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-10 Paulo Sérgio Almeida

Internet-scale distributed systems often replicate data at multiple geographic locations to provide low latency and high availability, despite node and network failures. Geo-replicated systems that adopt a weak consistency model allow…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-06-28 Nuno Preguiça

CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through disseminating the en- tire state, that may be large, and merging it…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-04 Paulo Sérgio Almeida , Ali Shoker , Carlos Baquero

CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through disseminating the entire state, that may be large, and merging it to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-17 Paulo Sérgio Almeida , Ali Shoker , Carlos Baquero

General solutions of state machine replication have to ensure that all replicas apply the same commands in the same order, even in the presence of failures. Such strict ordering incurs high synchronization costs caused by distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-27 Jan Skrzypczak , Florian Schintke , Thorsten Schütt

Set reconciliation is a fundamental task in distributed systems, particularly in blockchain networks, where it enables synchronization of transaction pools among peers and facilitates block dissemination. Traditional set reconciliation…

Networking and Internet Architecture · Computer Science 2025-04-14 Tomer Keniagin , Eitan Yaakobi , Ori Rottenstreich

Digital collaboration systems support asynchronous work over replicated data, where conflicts arise when concurrent operations cannot be unambiguously integrated into a shared history. While Conflict-Free Replicated Data Types (CRDTs)…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-14 Georgii Semenov , Vitaly Aksenov

Set reconciliation, where two parties hold fixed-length bit strings and run a protocol to learn the strings they are missing from each other, is a fundamental task in many distributed systems. We present Rateless Invertible Bloom Lookup…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-21 Lei Yang , Yossi Gilad , Mohammad Alizadeh

Set reconciliation protocols typically make two critical assumptions: they are designed for fixed-sized elements and they are optimized for when the difference cardinality, d, is very small. When adapting to variable-sized elements, the…

Data Structures and Algorithms · Computer Science 2025-11-03 Pedro Silva Gomes , Carlos Baquero

Many applications model their data in a general-purpose storage format such as JSON. This data structure is modified by the application as a result of user input. Such modifications are well understood if performed sequentially on a single…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-16 Martin Kleppmann , Alastair R. Beresford

Geo-distributed systems often replicate data at multiple locations to achieve availability and performance despite network partitions. These systems must accept updates at any replica and propagate these updates asynchronously to every…

Programming Languages · Computer Science 2019-03-18 Constantin Enea , Suha Orhun Mutluergil , Gustavo Petri , Chao Wang

Distributed storage systems employ replication to improve performance and reliability. To provide low latency data access, replicas are often required to accept updates without coordination with each other, and the updates are then…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-06 Yuqi Zhang , Hengfeng Wei , Yu Huang

Um CRDT \'e um tipo de dados que pode ser replicado e modificado concorrentemente sem coordena\c{c}\~ao, garantindo-se a converg\^encia das r\'eplicas atrav\'es da resolu\c{c}\~ao autom\'atica de conflitos. Cada CRDT implementa uma…

Data Structures and Algorithms · Computer Science 2019-03-11 André Rijo , Carla Ferreira , Nuno Preguiça

In Opportunistic Networks (OppNets), the dissemination of information can only rely on transient pairwise radio contacts between mobile devices (peers). Designing distributed applications that can run in such conditions is a challenge, but…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-22 Frédéric Guidec , Yves Mahéo

Conventional blockchains use consensus algorithms that totally order updates across all accounts, which is stronger than necessary to implement a replicated ledger. This makes updates slower and more expensive than necessary. More recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-29 Erick Lavoie

Operation-based Conflict-free Replicated Data Types (CRDTs) are eventually consistent replicated data types that automatically resolve conflicts between concurrent operations. Op-based CRDTs must be designed differently for each data type,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-10 Matthew Weidner , Heather Miller , Christopher Meiklejohn

Conflict-free replicated data types (CRDTs) are a natural structure with which to communicate information about a shared computation in a distributed setting where coordination overhead may not be tolerated, and individual participants are…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-18 Taylor Blau

Data parallelism has become a dominant method to scale Deep Neural Network (DNN) training across multiple nodes. Since synchronizing a large number of gradients of the local model can be a bottleneck for large-scale distributed training,…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-23 Jiarui Fang , Haohuan Fu , Guangwen Yang , Cho-Jui Hsieh
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