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Service Oriented Computing and Applications

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06.01.2021 | Original Research Paper

Building adaptive context-aware service-based smart systems

verfasst von: Soufiane Faieq, Rajaa Saidi, Hamid El Ghazi, Agnès Front, Moulay Driss Rahmani

Erschienen in: Service Oriented Computing and Applications | Ausgabe 1/2021

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Abstract

Existing smart systems tend to be domain specific and developed end-to-end in an ad hoc manner and thus tend to be time and resource consuming, error prone and hard to interoperate and integrate. The objective of this paper is to provide a method through which the method users can follow a general process model and a uniform set of concepts to define the main elements involved in their targeted smart solution while also thinking about how their system could or should improve, adapt and eventually integrate with other systems. We propose an approach to design smart systems based on the principles of service-oriented computing, context-awareness and adaptability to tackle the previously mentioned issues. The proposed approach, called AS3 (adaptive service-based smart systems), consists of two main contributions. To deal with the interoperability, integration and adaptability issues, we first propose a smart system loop to showcase the capabilities of smart systems, the main concepts in play and their interactions. Then, we propose a method to design smart systems that is supported by a product metamodel and a process model. The application of AS3 on a road security-focused intelligent transport system design and simulation shows its relevance and efficiency in designing adaptive smart systems.

Vorheriger Artikel A deep learning approach for collaborative prediction of Web service QoS

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SMARTROAD is a cooperation project funded by CAMPUS FRANCE [PHC TOUBKAL 2017 (French–Morocco bilateral program) Grant Number: 36804YH], which aims to create a platform, a method and a set of design tools to develop dynamically composed services in the context of smart roads.

https://www.incose.org/about-systems-engineering/system-and-se-definition.

https://dictionary.cambridge.org/fr/dictionnaire/anglais/situation.

https://github.com/wsdream/wsdream-dataset/tree/master/dataset1.

https://github.com/faieqs/SMRec.

Abowd GD, Dey AK, Brown PJ, Davies N, Smith M, Steggles P (1999) Towards a better understanding of context and context-awareness. In: International symposium on handheld and ubiquitous computing. Springer, Berlin, pp 304–307

Ait-Cheik-Bihi W, Nait-Sidi-Moh A, Bakhouya M, Gaber J, Wack M (2012) Transportml platform for collaborative location-based services. SOCA 6(4):363–378. https://doi.org/10.1007/s11761-012-0114-2CrossRef

Baresi L, Di Nitto E, Ghezzi C, Guinea S (2007) A framework for the deployment of adaptable web service compositions. SOCA 1(1):75–91. https://doi.org/10.1007/s11761-007-0004-1CrossRef

Bouguettaya A, Singh M, Huhns M, Sheng QZ, Dong H, Yu Q, Neiat AG, Mistry S, Benatallah B, Medjahed B, Ouzzani M, Casati F, Liu X, Wang H, Georgakopoulos D, Chen L, Nepal S, Malik Z, Erradi A, Wang Y, Blake B, Dustdar S, Leymann F, Papazoglou M (2017) A service computing manifesto: the next 10 years. Commun ACM 60(4):64–72. https://doi.org/10.1145/2983528CrossRef

Candillier L, Meyer F, Boullé M (2007) Comparing state-of-the-art collaborative filtering systems. In: Perner P (ed) Machine learning and data mining in pattern recognition. Springer, Berlin, pp 548–562CrossRef

Casati F, Shan MC (2001) Dynamic and adaptive composition of e-services. Inf Syst 26(3):143–163. https://doi.org/10.1016/S0306-4379(01)00014-X 12th International Conference on Advanced Systems EngineeringCrossRefMATH

Cela O, Cortes-Cornax M, Front A, Rieu D (2019) Methodological framework to guide the development of continual evolution methods. In: Giorgini P, Weber B (eds) Advanced information systems engineering. Springer, Cham, pp 48–63CrossRef

Chang CK, Jiang H, Ming H, Oyama K (2009) Situ: A situation-theoretic approach to context-aware service evolution. IEEE Trans Serv Comput 2(3):261–275. https://doi.org/10.1109/TSC.2009.21CrossRef

Chang J, Yao W, Li X (2017) The design of a context-aware service system in intelligent transportation system. Int J Distrib Sens Netw 13(10):1–18. https://doi.org/10.1177/1550147717738165CrossRef

10.

Demirkan H (2013) A smart healthcare systems framework. IT Prof 15(5):38–45. https://doi.org/10.1109/MITP.2013.35CrossRef

11.

Faieq S, Saidi R, Elghazi H, Rahmani MD (2017) C2iot: a framework for cloud-based context-aware internet of things services for smart cities. Procedia Comput Sci 110:151–158. https://doi.org/10.1016/j.procs.2017.06.072CrossRef

12.

Faieq S, Front A, Saidi R, El Ghazi H, Rahmani MD (2019) A context-aware recommendation-based system for service composition in smart environments. SOCA 13(4):341–355. https://doi.org/10.1007/s11761-019-00277-7CrossRef

13.

Fang J, Hu S, Han Y (2004) A service interoperability assessment model for service composition. In: Proceedings of IEEE international conference on services computing, 2004 (SCC 2004), pp 153–158. https://doi.org/10.1109/SCC.2004.1358002

14.

Force IRSCMT (2014) An overview report on the current status and implications of road safety & connected mobility. Tech. rep, IRU, Michelin Group

15.

Haeckel SH (1999) Adaptive enterprise: creating and leading sense-and-respond organizations. Harvard Business Press, Brighton

16.

He P, Zhu J, Zheng Z, Xu J, Lyu MR (2014) Location-based hierarchical matrix factorization for web service recommendation. In: 2014 IEEE international conference on web services, pp 297–304. https://doi.org/10.1109/ICWS.2014.51

17.

Kephart JO, Chess DM (2003) The vision of autonomic computing. Computer 36(1):41–50. https://doi.org/10.1109/MC.2003.1160055MathSciNetCrossRef

18.

Lee H, Lee J (2018) Development concepts of smart service system-based smart factory (4SF). In: INCOSE international symposium, vol 28, no 1, pp 1153–1169. https://doi.org/10.1002/j.2334-5837.2018.00540.x

19.

Lim C, Maglio PP (2019) Clarifying the concept of smart service system. Springer, Cham, pp 349–376. https://doi.org/10.1007/978-3-319-98512-1_16CrossRef

20.

Lo W, Yin J, Deng S, Li Y, Wu Z (2012) Collaborative web service QoS prediction with location-based regularization. In: 2012 IEEE 19th international conference on web services, pp 464–471. https://doi.org/10.1109/ICWS.2012.49

21.

MarsaMaestre I, Lopez-Carmona MA, Velasco JR (2008) A hierarchical, agent-based service oriented architecture for smart environments. SOCA 2(4):167–185. https://doi.org/10.1007/s11761-008-0030-7CrossRef

22.

Mohsin A, Janjua NK (2018) A review and future directions of SOA-based software architecture modeling approaches for system of systems. SOCA 12(3):183–200. https://doi.org/10.1007/s11761-018-0245-1CrossRef

23.

Organization WH et al (2018) Global status report on road safety 2018. World Health Organization, Geneva

24.

Palanca J, Val Ed, Garcia-Fornes A, Billhardt H, Corchado JM, Julián V (2018) Designing a goal-oriented smart-home environment. Inf Syst Front 20(1):125–142. https://doi.org/10.1007/s10796-016-9670-xCrossRef

25.

Park CY, Laskey KB, Salim S, Lee JY (2017) Predictive situation awareness model for smart manufacturing. In: 2017 20th international conference on information fusion (fusion), pp 1–8. https://doi.org/10.23919/ICIF.2017.8009849

26.

Rodrigues GS, Guimarães FP, Rodrigues GN, Knauss A, de Araújo JPC, Andrade H, Ali R (2019) Goald: a goal-driven deployment framework for dynamic and heterogeneous computing environments. Inf Softw Technol 111:159–176. https://doi.org/10.1016/j.infsof.2019.04.003CrossRef

27.

Rolland C (2007) Capturing system intentionality with maps. Springer, Berlin, pp 141–158. https://doi.org/10.1007/978-3-540-72677-7_9CrossRef

28.

Santana EFZ, Chaves AP, Gerosa MA, Kon F, Milojicic DS (2018) Software platforms for smart cities: Concepts, requirements, challenges, and a unified reference architecture. ACM Comput Surv (CSUR) 50(6). https://doi.org/10.1145/3124391

29.

Santofimia MJ, Villa D, Aceña O, del Toro X, Trapero C, Villanueva FJ, Lopez JC (2018) Enabling smart behavior through automatic service composition for internet of things-based smart homes. Int J Distrib Sens Netw 14(8)

30.

Sedhain S, Menon AK, Sanner S, Xie L (2015) Autorec: autoencoders meet collaborative filtering. In: Proceedings of the 24th international conference on world wide web. ACM, pp 111–112

31.

Sivamani S, Bae N, Cho Y (2013) A smart service model based on ubiquitous sensor networks using vertical farm ontology. Int J Distrib Sens Netw 9(12). https://doi.org/10.1155/2013/161495

32.

Sun H, Zheng Z, Chen J, Lyu MR (2013) Personalized web service recommendation via normal recovery collaborative filtering. IEEE Trans Serv Comput 6(4):573–579. https://doi.org/10.1109/TSC.2012.31CrossRef

33.

Tang M, Jiang Y, Liu J, Liu X (2012) Location-aware collaborative filtering for QoS-based service recommendation. In: 2012 IEEE 19th international conference on web services, pp 202–209. https://doi.org/10.1109/ICWS.2012.61

34.

Villa D, Aceña O, Villanueva FJ, Santofimia MJ, Escolar S, del Toro Garca X, Lopez JC (2017) IDM: an inter-domain messaging protocol for IoT. In: IECON 2017—43rd annual conference of the ieee industrial electronics society, pp 8355–8360. https://doi.org/10.1109/IECON.2017.8217467

35.

Wu J, Chen L, Feng Y, Zheng Z, Zhou MC, Wu Z (2013) Predicting quality of service for selection by neighborhood-based collaborative filtering. IEEE Trans Syst Man Cybern Syst 43(2):428–439. https://doi.org/10.1109/TSMCA.2012.2210409CrossRef

36.

Yau SS, Gong H, Huang D, Gao W, Zhu L (2008) Specification, decomposition and agent synthesis for situation-aware service-based systems. J Syst Softw 81(10):1663–1680. https://doi.org/10.1016/j.jss.2008.02.035

37.

Yu D, Liu Y, Xu Y, Yin Y (2014) Personalized QoS prediction for web services using latent factor models. In: 2014 IEEE international conference on services computing, pp 107–114. https://doi.org/10.1109/SCC.2014.23

38.

Zhang Y, Zheng Z, Lyu MR (2011) Exploring latent features for memory-based QoS prediction in cloud computing. In: 2011 IEEE 30th international symposium on reliable distributed systems, pp 1–10. https://doi.org/10.1109/SRDS.2011.10

39.

Zheng Z, Ma H, Lyu MR, King I (2011) QoS-aware web service recommendation by collaborative filtering. IEEE Trans Serv Comput 4(2):140–152. https://doi.org/10.1109/TSC.2010.52CrossRef

40.

Zheng Z, Zhang Y, Lyu MR (2014) Investigating QoS of real-world web services. IEEE Trans Serv Comput 7(1):32–39. https://doi.org/10.1109/TSC.2012.34CrossRef

Titel: Building adaptive context-aware service-based smart systems
verfasst von: Soufiane Faieq
Rajaa Saidi
Hamid El Ghazi
Agnès Front
Moulay Driss Rahmani
Publikationsdatum: 06.01.2021
Verlag: Springer London
Erschienen in: Service Oriented Computing and Applications / Ausgabe 1/2021
Print ISSN: 1863-2386
Elektronische ISSN: 1863-2394
DOI: https://doi.org/10.1007/s11761-020-00310-0

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