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Programming interactions in collective adaptive systems by relying on attribute-based communication

Artikel i vetenskaplig tidskrift
Författare Yehia Abd Alrahman
Rocco De Nicola
Michele Loreti
Publicerad i Science of Computer Programming
Volym 192
Nummer/häfte June
ISSN 0167-6423
Publiceringsår 2020
Publicerad vid Institutionen för data- och informationsteknik, datavetenskap (GU)
Språk en
Länkar https://doi.org/10.1016/j.scico.202...
Ämnesord Attribute-based communication, Collective-adaptive systems, Computing methodologies, Operational semantics, Process calculus
Ämneskategorier Teoretisk datalogi


© 2020 Elsevier B.V. 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 sophisticated variant of the well-known problem of Stable Allocation in Content Delivery Networks. In our variant, content providers are assigned to clients based on collaboration and by taking into account the preferences of both parties in a fully anonymous and distributed settings. We also illustrate the expressive power of attribute-based communication by showing the natural encoding of group-based, publish/subscribe-based and channel-based communication paradigms into AbC.

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