Brief Announcement: Fast Atomic Snapshot and Asynchronous Latency

This paper introduces a novel, fast atomic-snapshot protocol for asynchronous message-passing systems. In the process of defining what "fast" means exactly, we spot a few interesting issues that arise when conventional time metrics are applied to long-lived asynchronous algorithms. We reveal some gaps in latency claims made in earlier work on snapshot algorithms, which hamper their comparative time-complexity analysis. We then come up with a new unifying time-complexity metric that captures the latency of an operation in an asynchronous, long-lived implementation. This allows us to formally grasp latency improvements of our atomic-snapshot algorithm with respect to the state-of-the-art protocols: optimal latency in fault-free runs without contention, short constant latency in fault-free runs with contention, the worst-case latency proportional to the number of active concurrent failures, and constant, close to optimal, amortized latency.

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Publication Details

Published
2025-06-13
DOI
https://doi.org/10.1145/3732772.3733540
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00

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article

Brief Announcement: Fast Atomic Snapshot and Asynchronous Latency

João Paulo Bezerra, Luciano Freitas de Souza, Petr Kuznetsov
Distributed systems and fault tolerance
article

Brief Announcement: Fast Atomic Snapshot and Asynchronous Latency

João Paulo Bezerra, Luciano Freitas de Souza, Petr Kuznetsov
article en

Abstract

This paper introduces a novel, fast atomic-snapshot protocol for asynchronous message-passing systems. In the process of defining what "fast" means exactly, we spot a few interesting issues that arise when conventional time metrics are applied to long-lived asynchronous algorithms. We reveal some gaps in latency claims made in earlier work on snapshot algorithms, which hamper their comparative time-complexity analysis. We then come up with a new unifying time-complexity metric that captures the latency of an operation in an asynchronous, long-lived implementation. This allows us to formally grasp latency improvements of our atomic-snapshot algorithm with respect to the state-of-the-art protocols: optimal latency in fault-free runs without contention, short constant latency in fault-free runs with contention, the worst-case latency proportional to the number of active concurrent failures, and constant, close to optimal, amortized latency.

Télécom Paris (FR), Laboratoire Traitement et Communication de l’Information (FR)
Agence Nationale de la Recherche, CHIST-ERA
Openalex Percentile: Top 86%
Distributed systems and fault tolerance
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