Name
Abstract | ||
|---|---|---|
Concurrent data structures like stacks, sets or queues need to be highly optimized to provide large degrees of parallelism with reduced contention. Linearizability, a key consistency condition for concurrent objects, sometimes limits the potential for optimization. Hence algorithm designers have started to build concurrent data structures that are not linearizable but only satisfy relaxed consistency requirements. In this paper, we study quiescent consistency as proposed by Shavit and Herlihy, which is one such relaxed condition. More precisely, we give the first formal definition of quiescent consistency, investigate its relationship with linearizability, and provide a proof technique for it based on (coupled) simulations. We demonstrate our proof technique by verifying quiescent consistency of a (non-linearizable) FIFO queue built using a diffraction tree. |
Year | Venue | Keywords |
|---|---|---|
2014 | Lecture Notes in Computer Science | linearizability,concurrent data structures |
Field | DocType | Volume |
Linearizability,Local consistency,Sequential consistency,Computer science,Real-time computing,Weak consistency,Consistency model,Concurrent data structure,Strong consistency,Release consistency | Conference | 8442 |
ISSN | Citations | PageRank |
0302-9743 | 8 | 0.44 |
References | Authors | |
18 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| John Derrick | 1 | 170 | 16.67 |
| Brijesh Dongol | 2 | 193 | 25.27 |
| Gerhard Schellhorn | 3 | 769 | 56.43 |
| Bogdan Tofan | 4 | 86 | 4.93 |
| Oleg Travkin | 5 | 52 | 5.66 |
| Heike Wehrheim | 6 | 1013 | 104.85 |