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Runtime model based approach to IoT application development

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Abstract

The internet of things (IoT) attracts great interest in many application domains concerned with monitoring and control of physical phenomena. However, application development is still one of the main hurdles to a wide adoption of IoT technology. Application development is done at a low level, very close to the operating system and requires programmers to focus on low-level system issues. The underlying APIs can be very complicated and the amount of data collected can be huge. This can be very hard to deal with as a developer. In this paper, we present a runtime model based approach to IoT application development. First, the manageability of sensor devices is abstracted as runtime models that are automatically connected with the corresponding systems. Second, a customized model is constructed according to a personalized application scenario and the synchronization between the customized model and sensor device runtime models is ensured through model transformation. Thus, all the application logic can be carried out by executing programs on the customized model. An experiment on a real-world application scenario demonstrates the feasibility, effectiveness, and benefits of the new approach to IoT application development.

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References

  1. Atzori L, Iera A, Morabito G. The Internet of things: a survey. Computer Networks, 2010, 54(15): 2787–2805

    Article  MATH  Google Scholar 

  2. Garlan D. Software architecture: a roadmap. In: Proceedings of the 22nd International Conference on Software Engineering. 2000, 91–101

    Google Scholar 

  3. Mei H, Shen J R. Progress of research on software architecture. Journal of Software, 2006, 17(6): 1257–1275

    Article  MATH  Google Scholar 

  4. France R, Rumpe B. Model-driven development of complex software: a research roadmap. In: Proceedings of the 29th International Conference on Software Engineering. 2007, 37–54

    Google Scholar 

  5. Huang G, Ma X X, Tsai W T. A new software paradigm for internet computing. National Science Review, 2014, 1(2): 168–169

    Article  Google Scholar 

  6. Bencomo N, Blair G, France R. Summary of the workshop models@ run.time at MoDELS 2006. Lecture Notes in Computer Science, 2007, 4364: 227–231

    Article  Google Scholar 

  7. Blair G, Bencomo N, France R B. Models@run.time. Computer, 2009, 42(10): 22–27

    Article  Google Scholar 

  8. Huang G, Mei H, Yang F Q. Runtime recovery and manipulation of software architecture of component-based systems. Automated Software Engineering, 2006, 13(2): 257–281

    Article  Google Scholar 

  9. Occello A, Dery-pinna A, Riveill M. A runtime model for monitoring software adaptation safety and its concretisation as a service. Models@ runtime, 2008, 8: 67–76

    Google Scholar 

  10. Wu Y H, Huang G, Song H, Zhang Y. Model driven configuration of fault tolerance solutions for component-based software system. In: Proceedings of the 15th International Conference on Model Driven Engineering Languages and Systems. 2012, 514–530

    Chapter  Google Scholar 

  11. Rushby J. Model checking and other ways of automating formal methods. Position paper for panel on Model Checking for Concurrent Programs, Software Quality Week. 1995, 1–12

    Google Scholar 

  12. Huang G, Song H, Mei H. SM@RT: applying architecture-based runtime management of internetware systems. International Journal of Software and Informatics, 2009, 3(4): 439–464

    Google Scholar 

  13. Song H, Huang G, Chauvel F, Xiong Y F, Hu Z J, Sun Y C, Mei H. Supporting runtime software architecture: a bidirectional-transformationbased approach. Journal of Systems and Software, 2011, 84(5): 711–723

    Article  Google Scholar 

  14. Song H, Xiong Y F, Chauvel F, Huang G, Hu Z J, Mei H. Generating synchronization engines between running systems and their modelbased views. Models in Software Engineering, 2009, 140–154

    Google Scholar 

  15. Song H, Huang G, Xiong Y F, Chauvel F, Sun Y C, Mei H. Inferring meta-models for runtime system data from the clients of management APIs. In: Proceedings of the 13rd International Conference on Model Driven Engineering Languages and Systems. 2010, 168–182

    Chapter  Google Scholar 

  16. Zhang W, Song H, Huang G. Object oriented accessing approach for wireless sensor network devices and data. Journal of Frontiers of Computer Science and Technology, 2011, 5(12): 1076–1084

    Google Scholar 

  17. Mottola L, Picco G P. Programming wireless sensor networks: fundamental concepts and state of the art. ACM Computing Surveys, 2011, 43(3): 19

    Article  Google Scholar 

  18. Gay D, Levis P, Behren R V, Welsh M, Brewer E, Culler D. The nesC language: a holistic approach to networked embedded systems. In: Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation. 2003, 1–11

    Google Scholar 

  19. Madden S R, Franklin M J, Hellerstein J M, Hong W. Tinydb: an acquisitional query processing system for sensor networks. ACM Transactions on Database Systems, 2005, 30(1): 122–173

    Article  Google Scholar 

  20. Spiess P, Karnouskos S, Guinard D, Savio D, Baecker O, Souza L, Trifa V. Soa-based integration of the internet of things in enterprise services. In: Proceedings of IEEE International Conference on Web Services. 2009, 968–975

    Google Scholar 

  21. Janowicz K, Broring A, Stasch C, Schade S, Everding T, Llaves A. A restful proxy and data model for linked sensor data. International Journal of Digital Earth, 2013, 6(3): 233–254

    Article  Google Scholar 

  22. Beckmann K, Thoss M. A model-driven software development approach using OMG DDS for wireless sensor networks. Software Technologies for Embedded and Ubiquitous Systems, 2010, 95–106

    Chapter  Google Scholar 

  23. Losilla F, Vicente-chicote C, Alvarez B, Iborra R, Sanchez P. Wireless sensor network application development: an architecture-centric MDE approach. Software Architecture, 2007, 179–194

    Chapter  Google Scholar 

  24. Akbal-delibas B, Boonma P, Suzuki J. Extensible and precise modeling for wireless sensor networks. Information Systems: Modeling, Development, and Integration, 2009, 551–562

    Chapter  Google Scholar 

  25. Thang N X, Geihs K. Model-driven development with optimization of non-functional constraints in sensor network. In: Proceedings of the 2010 ICSE Workshop on Software Engineering for Sensor Network Applications. 2010, 61–65

    Chapter  Google Scholar 

  26. Shimizu R, Tei K, Fukazawa Y, Honiden S. Model-driven development for rapid prototyping and optimization of wireless sensor network applications. In: Proceedings of the 2nd Workshop on Software Engineering for Sensor Network Applications. 2011, 31–36

    Chapter  Google Scholar 

  27. Rodrigues T, Dantas P, Delicato F C, Pires P F, Pirmez L, Batista T, Miceli C, Zomaya A. Model-driven development of wireless sensor network applications. In: Proceedings of the 9th IFIP International Conference on Embedded and Ubiquitous Computing. 2011, 11–18

    Google Scholar 

  28. Sicard S, Boyer F, Palma N D. Using components for architecturebased management: the self-repair case. In: Proceedings of the 30th International Conference on Software Engineering. 2008, 101–110

    Google Scholar 

  29. Morin B, Barais O, Nain G, Jezequel J. Taming dynamically adaptive systems using models and aspects. In: Proceedings of the 31st International Conference on Software Engineering. 2009, 122–132

    Google Scholar 

  30. Yang J, Huang G, Zhu W H, Cui X F, Mei H. Quality attribute tradeoff through adaptive architectures at runtime. Journal of Systems and Software, 2009, 82(2): 319–332

    Article  Google Scholar 

  31. Mei H, Huang G, Lan L, Li J G. A software architecture centric selfadaptation approach for internet-ware. Science in China Series F: Information Sciences, 2008, 51(6): 722–742

    Article  MATH  Google Scholar 

  32. Li Y, Sun K W, Yang J, Liu T C, Zeng L Z. Model-based system configuration approach for internetware. Science China Information Sciences, 2013, 56(8): 1–20

    MATH  Google Scholar 

  33. Chen X P, Huang G, Chauvel F, Sun Y C, Mei H. A framework for the integration of MOF-compliant analysis methods. In: Proceedings of the 2nd Asia-Pacific Symposium on Internetware. 2010, 1–10

    Google Scholar 

  34. Li J G, Chen X P, Huang G, Mei H, Chauvel F. Selecting fault tolerant styles for third-party components with model checking support. In: Proceedings of the 12th International Symposium on Component- Based Software Engineering. 2009, 69–86

    Chapter  Google Scholar 

  35. Huang G, Chen X, Zhang Y, Zhang X D. Towards architecture-based management of platforms in the cloud. Frontiers of Computer Science, 2012, 6(4): 388–397

    MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China

    Xing Chen, Aipeng Li, Xue’e Zeng & Wenzhong Guo

  2. Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing, Fuzhou, 350116, China

    Xing Chen, Aipeng Li, Xue’e Zeng & Wenzhong Guo

  3. Key Laboratory of High Confidence Software Technologies (Ministry of Education), Beijing, 100871, China

    Gang Huang

  4. School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China

    Gang Huang

Authors
  1. Xing Chen
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  2. Aipeng Li
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  3. Xue’e Zeng
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  4. Wenzhong Guo
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  5. Gang Huang
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Corresponding author

Correspondence to Wenzhong Guo.

Additional information

Xing Chen received his PhD in 2013 from the School of Electronics Engineering and Computer Science of Peking University, China. He is an assistant professor at Fuzhou University, China. His research interests include system software and software architecture.

Aipeng Li is an MS candidate in the College of Mathematics and Computer Science at Fuzhou University, China. His research interests include system software and Internet of Things.

Xue’e Zeng is an MS candidate in the College of Mathematics and Computer Science at Fuzhou University, China. Her research interests include system software and cloud computing.

Wenzhong Guo received his PhD from Fuzhou University, China in 2010. He is a professor at Fuzhou University. His research interests include intelligent information processing, sensor networks, network computing, and network performance evaluation.

Gang Huang received his PhD in 2003 from the School of Electronics Engineering and Computer Science of Peking University, China. He is a professor at Peking University. His research interests include system software and software architecture.

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Chen, X., Li, A., Zeng, X. et al. Runtime model based approach to IoT application development. Front. Comput. Sci. 9, 540–553 (2015). https://doi.org/10.1007/s11704-015-4362-0

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  • DOI: https://doi.org/10.1007/s11704-015-4362-0

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