Abstract
The development of sound and reliable dynamic smart spaces is a complex task. Many researchers have already addressed the problem from different angles. The autonomic computing community has been focusing on super-imposed adaptation mechanisms by adding further dedicated components to the (software) architecture of the system. In contrast, bio-inspired solutions provide inherent support to self-organization but they fail to guarantee the desired level of reliability and control.
This paper aims to blend the two views and proposes an architecture-centric solution that merges component-based control and bio-inspired (fireflies-based) mechanisms. Suitable abstractions help conceive self-organizing ad-hoc collaborations among the —virtual and physical— components of a space. An example public park is used throughout the paper to explain and exemplify the key features of the proposed solution.
Luciano Baresi is partially supported by project EEB - Edifici A Zero Consumo Energetico In Distretti Urbani Intelligenti (Italian Technology Cluster For Smart Communities) - CTN01_00034_594053.
Adnan Shahzada is funded by the Joint Open Lab S-Cube, sponsored by Telecom Italia S.p.A. - Innovation division, Milan, Italy.
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References
Agha, G.: Computing in Pervasive Cyberspace. Communications of the ACM 51(1), 68–70 (2008)
Baresi, L., Guinea, S., Shahzada, A.: SeSaMe: towards a semantic self adaptive middleware for smart spaces. In: Post-Proceeding of the Workshop on Engineering Multi-agent Systems, pp. 169–178 (2013)
Cannata, A., Gerosa, M., Taisch, M.: SOCRADES: a framework for developing intelligent systems in manufacturing. In: Proceedings of International Conference on Industrial Engineering and Engineering Management, pp. 1904–1908 (2008)
Dorigo, M., Blum, C.: Ant Colony Optimization Theory: A Survey. Theoretical Computer Science 344(2), 243–278 (2005)
Gurgen, L., Gunalp, O., Benazzouz, Y., Gallissot, M.: Self-aware cyber-physical systems and applications in smart buildings and cities. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 1149–1154 (2013)
Ma, J., Yang, L.T., Apduhan, B.O., Huang, R., Barolli, L., Takizawa, M.: Towards a Smart World and Ubiquitous Intelligence: A Walkthrough From Smart Things to Smart Hyperspaces and UbicKids. International Journal of Pervasive Computing and Communications 1(1), 53–68 (2005)
Rellermeyer, J.S., Riva, O., Alonso, G.: AlfredO: an architecture for flexible interaction with electronic devices. In: Issarny, V., Schantz, R. (eds.) Middleware 2008. LNCS, vol. 5346, pp. 22–41. Springer, Heidelberg (2008)
Tisue, S., Wilensky, U.: Netlogo: a simple environment for modeling complexity. In: Proceedings of International Conference on Complex Systems, pp. 16–21 (2004)
Yang, X.-S.: Firefly algorithms for multimodal optimization. In: Watanabe, O., Zeugmann, T. (eds.) SAGA 2009. LNCS, vol. 5792, pp. 169–178. Springer, Heidelberg (2009)
Yang, X.-S.: Flower pollination algorithm for global optimization. In: Durand-Lose, J., Jonoska, N. (eds.) UCNC 2012. LNCS, vol. 7445, pp. 240–249. Springer, Heidelberg (2012)
Zambonelli, F., Viroli, M.: A Survey on Nature-Inspired Metaphors for Pervasive Service Ecosystems. International Journal of Pervasive Computing and Communications 7(3), 186–204 (2011)
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Baresi, L., Shahzada, A. (2015). An Architecture-Centric Approach for Dynamic Smart Spaces. In: Weyns, D., Mirandola, R., Crnkovic, I. (eds) Software Architecture. ECSA 2015. Lecture Notes in Computer Science(), vol 9278. Springer, Cham. https://doi.org/10.1007/978-3-319-23727-5_23
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DOI: https://doi.org/10.1007/978-3-319-23727-5_23
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