Programming the Interactions of Collective Adaptive Systems by Relying on Attribute-based Communication
Yehia Abd Alrahman, Rocco De Nicola, Michele Loreti

TL;DR
This paper introduces AbC, a language-based approach for programming collective adaptive systems using attribute-based communication, enabling flexible interaction modeling based on runtime properties.
Contribution
The paper presents AbC, a foundational calculus for attribute-based communication, and demonstrates its application through complex case studies and encoding of existing paradigms.
Findings
Successfully modeled complex systems with AbC
Demonstrated encoding of other communication paradigms
Applied AbC to Content Delivery Network problem
Abstract
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…
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