A Consistency Framework for Iteration Operations in Concurrent Data Structures
Paper in proceedings, 2015

Concurrent data structures provide the means to multi-threaded applications to share data. Data structures come with a set of predefined operations, specified by the semantics of the data structure. In the literature and in several contemporary commonly used programming environments, the notion of iteration has been introduced for collection data structures, as a bulk operation enhancing the native set of operations. Iterations in several of these contexts have been treated as sequential in nature and may provide weak consistency guarantees when running concurrently with the native operations of the data structures. In this work we study iterations in concurrent data structures in the context of concurrency with the native operations and the guarantees that they provide. Besides invariability, we propose a set of consistency specifications for such bulk operations, including also concurrency-aware properties by building on Lamppost's systematic definitions for registers. Furthermore, by using queues and composite registers as case-studies of underlying objects, we provide a set of constructions of iteration operations, satisfying the properties and showing containment relations. Besides the trade-off between consistency and throughput, we point out and study trade-off between the overhead of the bulk operation and possible support (helping) by the native operations of the data structure.

Author

Ioannis Nikolakopoulos

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Anders Gidenstam

University of Borås

Marina Papatriantafilou

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

Philippas Tsigas

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

29th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2015, Hyderabad, India, 25-29 May

1530-2075 (ISSN)

239-248

Areas of Advance

Information and Communication Technology

Subject Categories

Computer Science

DOI

10.1109/IPDPS.2015.84

ISBN

978-147998648-4

More information

Latest update

3/8/2018 9