Abstract
Most concurrent data structures being designed today are versions of known sequential data structures. However, in various cases it makes sense to relax the semantics of traditional concurrent data structures in order to get simpler and possibly more efficient and scalable implementations. For example, when solving the classical producer-consumer problem by implementing a concurrent queue, it might be enough to allow the dequeue operation (by a consumer) to return and remove one of the two oldest values in the queue, and not necessarily the oldest one. We define infinitely many possible relaxations of several traditional data structures: queues, stacks and multisets, and examine their relative computational power.
Original language | English |
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Title of host publication | Structural Information and Communication Complexity - 22nd International Colloquium, SIROCCO 2015, Post-Proceedings |
Editors | Christian Scheideler |
Publisher | Springer Verlag |
Pages | 414-428 |
Number of pages | 15 |
ISBN (Print) | 9783319252575 |
DOIs | |
State | Published - 2015 |
Externally published | Yes |
Event | 22nd International Colloquium on Structural Information and Communication Complexity, SIROCCO 2015 - Montserrat, Spain Duration: 14 Jul 2015 → 16 Jul 2015 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 9439 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 22nd International Colloquium on Structural Information and Communication Complexity, SIROCCO 2015 |
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Country/Territory | Spain |
City | Montserrat |
Period | 14/07/15 → 16/07/15 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2015.
Keywords
- Consensus number
- Multiset
- Queue
- Relaxed data structure
- Stack
- Synchronization
- Waitfreedom