Limited-Use Atomic Snapshots with Polylogarithmic Step Complexity

Author:

Aspnes James1,Attiya Hagit2,Censor-Hillel Keren2,Ellen Faith3

Affiliation:

1. Yale University, New Haven, CT

2. Technion, Haifa, Israel

3. University of Toronto, Toronto, Ontario, Canada

Abstract

This article presents a novel implementation of a snapshot object for n processes, with O (log 2 b log n ) step complexity for update operations and O (log b ) step complexity for scan operations, where b is the number of updates. The algorithm uses only reads and writes. For polynomially many updates, this is an exponential improvement on previous snapshot algorithms, which have linear step complexity. It overcomes the existing Ω( n ) lower bound on step complexity by having the step complexity depend on the number of updates. The key to this implementation is the construction of a new object consisting of a pair of max registers that supports a scan operation.

Funder

Yad-Hanadiv foundation

Simons Postdoctoral Fellows Program

Natural Science and Engineering Research Council of Canada

NSF

Israel Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Set-Linearizable Implementations from Read/Write Operations: Sets, Fetch &Increment, Stacks and Queues with Multiplicity;Distributed Computing;2022-12-07

2. Decentralized Asynchronous Crash-resilient Runtime Verification;Journal of the ACM;2022-10-27

3. An Efficient Adaptive Partial Snapshot Implementation;Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing;2021-07-21

4. The Space Complexity of Scannable Binary Objects;Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing;2021-07-21

5. Long-Lived Snapshots with Polylogarithmic Amortized Step Complexity;Proceedings of the 39th Symposium on Principles of Distributed Computing;2020-07-31

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