relation: http://eprints.imtlucca.it/3946/
title: Programming the Interactions of Collective Adaptive Systems by Relying on Attribute-based Communication
creator: Abd Alrahman, Yehia Moustafa
creator: De Nicola, Rocco
creator: Loreti, Michele
subject: QA75 Electronic computers. Computer science
description: Collective adaptive systems are new emerging computational systems consisting of a large number of interacting components and featuring complex behaviour. These systems are usually distributed, heterogeneous, decentralised and interdependent, and are operating in dynamic and possibly unpredictable environments. Finding ways to understand and design these systems and, most of all, to model the interactions of their components, is a difficult but important endeavour. In this article we propose a language-based approach for programming the interactions of collective-adaptive systems by relying on attribute-based communication; a paradigm that permits a group of partners to communicate by considering their run-time properties and capabilities. We introduce AbC, a foundational calculus for attribute-based communication and show how its linguistic primitives can be used to program a complex and sophisticated variant of the well-known problem of Stable Allocation in Content Delivery Networks. Also other interesting case studies, from the realm of collective-adaptive systems, are considered. We also illustrate the expressive power of attribute-based communication by showing the natural encoding of other existing communication paradigms into AbC.
publisher: arXiv
date: 2017
type: Working Paper
type: NonPeerReviewed
format: application/pdf
language: en
rights: cc_by_nc
identifier: http://eprints.imtlucca.it/3946/1/1711.06092.pdf
identifier:   Abd Alrahman, Yehia Moustafa and De Nicola, Rocco and Loreti, Michele  Programming the Interactions of Collective Adaptive Systems by Relying on Attribute-based Communication.  Working Paper   arXiv       (Submitted)   
relation: https://arxiv.org/abs/1711.06092
relation: arXiv:1711.06092