Abstract
The shared dataspace metaphor is historically the most prominent representative of the family of coordination models. According to this approach, concurrent processes interact via the production, consumption, and test for presence/absence of data in a common repository. Recently, the problem of the accumulation of outdated and unwanted information in the shared repository has been addressed and it has been solved by introducing non-permanent data, obtained by associating an expiration time to data. In this paper we investigate the impact of the adoption of different notions of non-permanent data on the expressiveness of a Linda based process calculus.KeywordsTemporary DataOperational SemanticPermanent DataExpiration TimeSequential ComponentThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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