Abstract
The Internet of Things (IoT) is the science of connecting multiple devices that coordinate to provide the service in question. IoT environments are complex, dynamic, rapidly changing and resource constrained. Therefore, proactively adapting devices to align with context fluctuations becomes a concern. To propose suitable configurations, it should be possible to sense information from devices, analyze the data and reconfigure them accordingly. Applied in the service of the environment, a fleet of devices can monitor environment indicators and control it in order to propose best fit solutions or prevent risks like over consumption of resources (e.g., water and energy). This paper describes our methodology in designing a framework for the monitoring and multi-instantiation of fleets of connected objects. First by identifying the particularities of the fleet, then by specifying connected object as a Dynamic Software Product Line (DSPL), capable of readjusting while running.
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References
I. T. Union: Overview of the Internet of Things (2012)
Alférez, G.H., Pelechano, V., Mazo, R., Salinesi, C., Diaz, D.: Dynamic adaptation of service compositions with variability models. J. Syst. Softw. 91(1), 24–47 (2014)
Salehie, M., Tahvildari, L.: Self-adaptive software: landscape and research challenges. ACM Trans. Auton. Adapt. Syst. 4(2), 1–42 (2009)
Krupitzer, C., Roth, F.M., VanSyckel, S., Schiele, G., Becker, C.: A survey on engineering approaches for self-adaptive systems. Pervasive Mob. Comput. 17, 184–206 (2015)
Denko, M.K., Yang, L.T., Zhang, Y.: Software architecture-based self-adaptation. Auton. Comput. Netw., 1–458 (2009)
Cheng, S.W., Garlan, D., Schmerl, B.: Evaluating the effectiveness of the rainbow self-adaptive system. In: Proceedings of 2009 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2009, pp. 132–141 (2009)
Kramer, J., Magee, J.: Self-managed systems: an architectural challenge. Fut. Softw. Eng. (2005)
Filipe, J., Fred, A., Sharp, B.: Toward a self-adaptive multi-agent system to control dynamic processes. Commun. Comput. Inf. Sci. 129 (2011)
Baumer, E.P.S., Khovanskaya, V., Matthews, M., Reynolds, L., Schwanda Sosik, V., Gay, G.: Reviewing reflection: on the use of reflection in interactive system design. In: Proceedings of the 2014 Conference on Designing Interactive Systems—DIS ’14, pp. 93–102 (2014)
Mongiello, M., Boggia, G., Di Sciascio, E.: ReIOS: reflective architecting in the internet of objects. In: Proceedings of the 4th International Conference on Modelling of Engineering Software Development, pp. 384–389, 2016
Szvetits, M., Zdun, U.: Systematic literature review of the objectives, techniques, kinds, and architectures of models at runtime. Softw. Syst. Model. 15(1), 31–69 (2016)
Rouvoy, R., Barone, P., Ding, Y., Eliassen, F., Hallsteinsen, S., Lorenzo, J., Mamelli, A., Scholz, U.: MUSIC: middleware support for self-adaptation in ubiquitous and service-oriented environments. Lecture Notes on Computer Science (including Subseries Lecture Notes on Artificial Intelligence and Lecture Notes on Bioinformatics), vol. 5525, pp. 164–182 (2009)
Capilla, R., Bosch, J., Trinidad, P., Ruiz-Cortés, A., Hinchey, M.: An overview of dynamic software product line architectures and techniques: observations from research and industry. J. Syst. Softw. 91(1), 3–23 (2014)
Mazo, R., Dumitrescu, C., Salinesi, C., Diaz, D.: Recommendation heuristics for improving product line configuration processes. Recomm. Syst. Softw. Eng., 511–537 (2014)
Hinchey, M., Park, S., Schmid, K.: Building dynamic software product lines. Computer (Long. Beach. Calif.) 45(10), 22–26 (2012)
IBM: Autonomic computing white paper: an architectural blueprint for autonomic computing. IBM White Paper, p. 34 (2005)
Bencomo, N. Lee, J., Hallsteinsen, S.: How dynamic is your dynamic software product line? Work. Dyn. Softw. Prod. Lines (2010)
Dumitrescu, C., Mazo, R., Salinesi, C., Dauron, A.: Bridging the gap between product lines and systems engineering: an experience in variability management for automotive model based. In: Proceedings of the 17th International Software Product Line Conference (SPLC), Aug 2013
Clayman. S., Galis, A.: INOX: a managed service platform for inter-connected smart objects stuart. In: Proceedings of the Workshop on Internet Things Services Platforms—IoTSP ’11, pp. 1–8 (2011)
Athreya, A., DeBruhl, B., Tague, P.: Designing for self-configuration and self-adaptation in the Internet of Things. In: Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 585–592 (2013)
Strassner, J., Agoulmine, N., Lehtihet, E.: FOCALE: a novel autonomic networking architecture. Int. Trans. Syst. Sci. Appl. J., 64–79 (2007)
Baresi, L., Di Ferdinando, A., Manzalini, A., Zambonelli, F.: The CASCADAS framework for autonomic communications. Auton. Commun., 1–374 (2009)
Vlacheas, P., Giaffreda, R., Stavroulaki, V., Kelaidonis, D., Foteinos, V., Poulios, G., Demestichas, P., Somov, A., Biswas, A., Moessner, K.: Enabling smart cities through a cognitive management framework for the internet of things. IEEE Commun. Mag. 51(6), 102–111 (2013)
Ayala, I., Horcas, J.M., Amor, M., Fuentes, L.: Using models at runtime to adapt self-managed agents for the IoT. Sensors, 155–173 (2015)
Dehlinger, J., Lutz, R.R.: Gaia-PL: a product line engineering approach for efficiently designing multiagent systems. ACM Trans. Softw. Eng. Methodol. 20(4), 17:1–17:27 (2011)
Abu-Matar, M.: Towards a software defined reference architecture for smart city ecosystems. In: Proceedings of 2016 IEEE International Smart Cities Conference, pp. 1–6 (2016)
Abu-Matar, M., Gomaa, H.: An automated framework for variability management of service-oriented software product lines. In: Proceedings of 2013 IEEE 7th International Symposium on Service-Oriented Systems Engineering SOSE 2013, pp. 260–267 (2013)
Ayala, I., Amor, M., Fuentes, L., Troya, J.: A software product line process to develop agents for the IoT. Sensors 15(7), 15640–15660 (2015)
COP22: [Online] http://cop22.ma/en/
Mazo, R., Salinesi, C., Diaz, D., Muñoz-Fernández, J.C., Rincón, L., Salinesi, C., Tamura, G.: VariaMos: an extensible tool for engineering (dynamic) product lines. In: Proceedings of the 24th International Conference on Advanced Information Systems Engineering (CAiSE Forum’12), pp. 374–379 (2015)
Muñoz-Fernández, J.C., Tamura, G., Raúl, M., Salinesi, C.: Towards a requirements specification multi-view framework for self-adaptive systems. In: Proceedings of XL Latin American Computing Conference (CLEI), vol. 18(2), pp. 1–12 (2014)
Acknowledgment
This work was supported by the Moroccan « Ministère de l’Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres » , by the « French Embassy in Morocco » , and by the « Institut Français du Maroc » .
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Achtaich, A., Souissi, N., Mazo, R., Salinesi, C., Roudies, O. (2018). Designing a Framework for Smart IoT Adaptations. In: Belqasmi, F., Harroud, H., Agueh, M., Dssouli, R., Kamoun, F. (eds) Emerging Technologies for Developing Countries. AFRICATEK 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-319-67837-5_6
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