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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
- 2.
Scala Language Command - Map works by applying a function to each element in the list.
References
Sundmaeker, H., Guillemin, P., Friess, P., Woelfflé, S. (eds.): Vision and Challenges for Realising the Internet of Things. Publications Office of the European Union, Luxembourg (2010)
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (iot): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013). Including Special sections: Cyber-enabled Distributed Computing for Ubiquitous Cloud and Network Services Cloud Computing and Scientific Applications – Big Data, Scalable Analytics, and Beyond
Hofmeyr, S.A.: An interpretative introduction to the immune system. In: Design Principles for the Immune System and Other Distributed Autonomous Systems, pp. 3–26. Oxford University Press (2000)
Janeway Jr., C.A., Travers, P., Walport, M., et al.: Immunobiology: The Immune System in Health and Disease. 5th edn. Garland Science, USA (2013)
Chappell, D.A.: Enterprise Service Bus - Theory in Practice. O’Reilly, Sebastopol (2004)
Li, Q., Liu, A., Liu, H., Lin, B., Huang, L., Gu, N.: Web services provision: solutions, challenges and opportunities (invited paper). In: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, ICUIMC 2009, pp. 80–87. ACM, New York (2009)
Jones, N.D., Gomard, C.K., Sestoft, P.: Partial Evaluation and Automatic Program Generation. Prentice-Hall Inc, Upper Saddle River (1993)
Kleene, S.C.: Introduction to Metamathematics. Ishi Press International, New York (2009)
Tahmasebi, P., Hezarkhani, A.: A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation. Comput. Geosci. 42, 18–27 (2012). doi:10.1016/j.cageo.2012.02.004
Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall PTR, Upper Saddle River (1998)
Banzhaf, W., Francone, F.D., Keller, R.E., Nordin, P.: Genetic Programming: An Introduction: on the Automatic Evolution of Computer Programs and Its Applications. Morgan Kaufmann Publishers Inc., San Francisco (1998)
Kephart, J.O.: A biologically inspired immune system for computers. In: Artificial Life IV: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems, pp. 130–139. MIT Press (1994)
de Castro, L.N.: Artificial Immune Systems: A New Computational Intelligence Approach. Springer, London (2002)
Parsons, S.: Imitation of life: how biology is inspiring computing by Nancy Forbes, MIT Press, 176 pp., \(\$\)8.95, ISBN 0-262-06241-0. Knowl. Eng. Rev. 21, 95–95 (2006)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Di Salle, A., Gallo, F., Perucci, A. (2015). Dependable Composition of Software and Services in the Internet of Things: A Biological Approach. In: Bianculli, D., Calinescu, R., Rumpe, B. (eds) Software Engineering and Formal Methods. SEFM 2015. Lecture Notes in Computer Science(), vol 9509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49224-6_25
Download citation
DOI: https://doi.org/10.1007/978-3-662-49224-6_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49223-9
Online ISBN: 978-3-662-49224-6
eBook Packages: Computer ScienceComputer Science (R0)