Quantitative information in the tuple space coordination model

Saved in:
Bibliographic Details
Title: Quantitative information in the tuple space coordination model
Authors: Bravetti, Mario1 bravetti@cs.unibo.it, Gorrieri, Roberto1 gorrieri@cs.unibo.it, Lucchi, Roberto lucchi@cs.unibo.it, Zavattaro, Gianluigi1 zavattar@cs.unibo.it
Source: Theoretical Computer Science. Nov2005, Vol. 346 Issue 1, p28-57. 30p.
Subjects: JavaSpaces technology, Computer science, Distributed computing, Computer architecture
Abstract: Abstract: Tuple Spaces is a well-known coordination model at the basis of coordination languages such as Linda, JavaSpaces and TSpaces. Tuple spaces are flat and unstructured multisets of tuples that can be accessed via output, read, and input operations. We investigate, from an expressiveness viewpoint, the impact of the introduction of quantitative information in the tuple space coordination model in order to quantify the relevance or importance of each tuple. We consider two possible interpretations for this information: in the first case it quantifies a weight indicating how much frequently each tuple should be retrieved, in the second case it expresses a priority level for the tuples. [Copyright &y& Elsevier]
Copyright of Theoretical Computer Science is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:Abstract: Tuple Spaces is a well-known coordination model at the basis of coordination languages such as Linda, JavaSpaces and TSpaces. Tuple spaces are flat and unstructured multisets of tuples that can be accessed via output, read, and input operations. We investigate, from an expressiveness viewpoint, the impact of the introduction of quantitative information in the tuple space coordination model in order to quantify the relevance or importance of each tuple. We consider two possible interpretations for this information: in the first case it quantifies a weight indicating how much frequently each tuple should be retrieved, in the second case it expresses a priority level for the tuples. [Copyright &y& Elsevier]
ISSN:03043975
DOI:10.1016/j.tcs.2005.08.004