Probabilistic and Prioritized Data Retrieval in the Linda Coordination Model


Mario Bravetti, Roberto Gorrieri, Roberto Lucchi, Gianluigi Zavattaro

Rocco De Nicola, Gian Luigi Ferrari, Greg Meredith (eds.)
Coordination Models and Languages, pages 55-70
LNCS
Springer
2004

Linda tuple spaces are flat and unstructured, in the sense that they do not allow for expressing preferences of tuples; for example, we could be interested in indicating tuples that should be returned more frequently w.r.t. other ones, or even tuples with a low relevance that should be taken under consideration only if there is no tuple with a higher importance. In this paper we investigate, in a process algebraic setting, how probabilities and priorities can be introduced in the Linda coordination model in order to support a more sophisticated data retrieval mechanism. As far as probabilities are concerned, we show that the Linda pattern-matching data retrieval makes it necessary to deal with weights instead of just pure probabilities, as instead can be done in standard process algebras. Regarding priorities, we present two possible ways for adding them to Linda; in the first one the order of priorities is statically fixed, in the second one it is dynamically instantiated when a data-retrieval operation is executed.

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Publication

— authors

Mario Bravetti, Roberto Gorrieri, Roberto Lucchi, Gianluigi Zavattaro

— editors

Rocco De Nicola, Gian Luigi Ferrari, Greg Meredith

— status

published

— sort

paper in proceedings

— publication date

2004

— volume

Coordination Models and Languages

— series

LNCS

— pages

55-70

— location

Pisa, Italy

identifiers

— DOI

10.1007/978-3-540-24634-3_7

— print ISBN

3-540-21044-X

notes

— note

6th International Conference (COORDINATION 2004), Pisa, Italy, February 24-27, 2004, Proceedings

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