Proving Linearizability of Concurrent Queues

<p>Linearizability is a commonly accepted correctness criterion for concurrent data structures. Concurrent queues are among the most fundamental concurrent data structures. In this paper, we present necessary and sufficient conditions for proving linearizability of concurrent queues, which make use of linearization of dequeue operations. The verification conditions intuitively express the “FIFO” semantics of concurrent queues and can be verified just by reasoning about the happened-before order of operations. We have successfully applied the proof technique to prove several challenging concurrent queues. We believe that our proof technique can be extended to the concurrent data structures which have the ordering requirements when their elements are removed.</p> <p> </p>

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Publication Details

Journal
電腦學刊
Published
2024-10-01
DOI
https://doi.org/10.53106/199115992024103505007
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Proving Linearizability of Concurrent Queues

Jie Peng, Tangliu Wen Jie Peng, Dongming Jiang Tangliu Wen
電腦學刊
Scheduling and Optimization Algorithms
article

Proving Linearizability of Concurrent Queues

Jie Peng, Tangliu Wen Jie Peng, Dongming Jiang Tangliu Wen
article en

Abstract

<p>Linearizability is a commonly accepted correctness criterion for concurrent data structures. Concurrent queues are among the most fundamental concurrent data structures. In this paper, we present necessary and sufficient conditions for proving linearizability of concurrent queues, which make use of linearization of dequeue operations. The verification conditions intuitively express the “FIFO” semantics of concurrent queues and can be verified just by reasoning about the happened-before order of operations. We have successfully applied the proof technique to prove several challenging concurrent queues. We believe that our proof technique can be extended to the concurrent data structures which have the ordering requirements when their elements are removed.</p> <p> </p>

電腦學刊Vol. 35(5)
National Natural Science Foundation of China
Openalex Percentile: Top 72%
Scheduling and Optimization Algorithms
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