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Dependable Composition of Software and Services in the Internet of Things: A Biological Approach

  • Amleto Di Salle
  • Francesco Gallo
  • Alexander Perucci
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9509)

Abstract

If we pause a moment to reflect on the innovations of the last twenty years in the field of information technology, we realize immediately as consumer electronics, computers and telecommunications have changed their balance of power. Today, Internet is so ingrained in the culture of the people who seems to be always there, and you can hardly imagine to live without it. Today mobile devices are computers, and their inter-connection and connection with several kinds of technological objects is ever more increasing. This has led to the emergence of new concepts, such as the Internet of Things (IoT), Machine to Machine (M2M), and People to Machine (P2M) and the consequent need to provide frameworks that allows communication and interoperability between heterogeneous objects. Furthermore, the increasing availability of data and especially of computational power allows things to serve not only as data producers but also as consumers.

Thus we can think about internet of things as a cloud of services software and services composition.

In such a highly mobile environment, both the user and “things” may be subject to frequent movement, demanding a frequent recomposition. In this paper, we propose a preliminary biological-inspired approach for adaptive software composition at run time. The approach leverages the concept of immune system to ensure dependability e.g. availability and reliability, of a composition of software and services in the Internet of Things.

Keywords

Adaptive composition Run-time composition Service composition 

Notes

Acknowledgment

This research work has been supported by the Ministry of Education, Universities and Research, prot. 2012E47TM2 (project IDEAS - Integrated Design and Evolution of Adaptive Systems), by the European Union’s H2020 Programme under grant agreement number 644178 (project CHOReVOLUTION - Automated Synthesis of Dynamic and Secured Choreographies for the Future Internet), and by the Ministry of Economy and Finance, Cipe resolution n. 135/2012 (project INCIPICT - INnovating CIty Planning through Information and Communication Technologies).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Amleto Di Salle
    • 1
  • Francesco Gallo
    • 1
  • Alexander Perucci
    • 1
  1. 1.University of L’AquilaL’AquilaItaly

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