Learning-based coordination model for spontaneous self-composition of reliable services in a distributed system

Article Article scientifique Article Learning-based coordination model for spontaneous self-composition of reliable services in a distributed system eng 2020-03-11 2020-08 author Ben Mahfoudh Houssem 841435 author Di Marzo Serugendo Giovanna 0000-0001-5048-5251 28107 Service enseignement, recherche, administratif et technique (SdS) (SCSPS) author Naja Nabil 852477 author Abdennadher Nabil 417-436 10.1007/s10009-020-00557-0 1433-2779 http://link.springer.com/10.1007/s10009-020-00557-0 <p>Context-aware, pervasive systems, mobile devices, intelligent virtual assistants activating services or controlling connected devices are pervading our everyday life. These systems rely on centralized services provided by servers in a cloud gathering all requests, performing pre-defined computations and involving pre-defined devices. Large-scale scenarios, involving unanticipated devices, adaptation to dynamically changing conditions, call for alternative solutions favoring edge computing and decentralized behavior. For several years, we have worked on a new type of applications, built and spontaneously composed on-demand. Applications arise from the interactions of multiple sensors and devices, working together as a decentralized collective adaptive system. Our solution relies on a learning-based coordination model providing decentralized communication platforms among agents working on behalf of heterogeneous devices. Each device provides few simple services and data regarding itself (properties and capabilities). In this article, we discuss first the design of complex services, arising from the spontaneous self-composition of simpler services. Second, we present our learning-based coordination model combining coordination and reinforcement learning, and how this approach ensures reliable self-composition of services in terms of functionality and expected quality of services. On the basis of a humanitarian scenario, we show the feasibility of the approach and discuss our current implementation. Preliminary results show convergence toward learning and correct functionality. Spontaneous self-composition and learning provide a self-adaptive solution for creating on-demand complex services evolving in highly dynamic scenarios comprising large numbers of connected devices.</p> Dewey 300 Dewey 025.063 10 Faculté des sciences de la société T 13 Centre universitaire d'informatique 0D3 false 937 Knowledge Engineering International journal on software tools for technology transfer 22 4 33b99e02-768d-4cfd-9c85-3ccecb1504be Article (Published version) Restricted Article_scientifique_from_crossref.pdf 2867367 application/pdf 08afac9752374d47a12a09766ccfa8cfbb1dd4b57dc910937a4e1ac629bb8c37 restrictedAccess Faculté des sciences de la société Centres et instituts / Centre universitaire d'informatique

Title	Published in	Access level	OA Policy	Year	Views	Downloads

Learning-based coordination model for spontaneous self-composition of reliable services in a distributed system	International journal on software tools for technology transfer			2020	3	0

Archive ouverte UNIGE

Naja, Nabil