Parallel Monitors for Self-adaptive Sessions
Logic in Computer Science
2016-06-21 v1 Distributed, Parallel, and Cluster Computing
Abstract
The paper presents a data-driven model of self-adaptivity for multiparty sessions. System choreography is prescribed by a global type. Participants are incarnated by processes associated with monitors, which control their behaviour. Each participant can access and modify a set of global data, which are able to trigger adaptations in the presence of critical changes of values. The use of the parallel composition for building global types, monitors and processes enables a significant degree of flexibility: an adaptation step can dynamically reconfigure a set of participants only, without altering the remaining participants, even if the two groups communicate.
Cite
@article{arxiv.1606.05938,
title = {Parallel Monitors for Self-adaptive Sessions},
author = {Mario Coppo and Mariangiola Dezani-Ciancaglini and Betti Venneri},
journal= {arXiv preprint arXiv:1606.05938},
year = {2016}
}
Comments
In Proceedings PLACES 2016, arXiv:1606.05403