More Web Proxy on the site http://driver.im/

article

Runtime model based approach to IoT application development

Authors:

Gang HuangAuthors Info & Claims

Frontiers of Computer Science: Selected Publications from Chinese Universities, Volume 9, Issue 4

Pages 540 - 553

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

Published: 01 August 2015 Publication History

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.

References

[1]

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

Digital Library

[2]

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

Digital Library

[3]

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

[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

Digital Library

[5]

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

[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

Digital Library

[7]

Blair G, Bencomo N, France R B. [email protected]. Computer, 2009, 42(10): 22---27

Digital Library

[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

Digital Library

[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

[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

Digital Library

[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

[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

[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

Digital Library

[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

[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

[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

[17]

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

Digital Library

[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

Digital Library

[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

Digital Library

[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

Digital Library

[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

[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

[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

[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

[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

[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

[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

Digital Library

[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

[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

Digital Library

[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

Digital Library

[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

[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

[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

[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

Digital Library

[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

Cited By

Nong MHuang LLiu M(2022)Allocation of Resources for Cloud Survivability in Smart ManufacturingACM Transactions on Management Information Systems10.1145/353370113:4(1-11)Online publication date: 18-May-2022
https://dl.acm.org/doi/10.1145/3533701
Chen RChen XWang LLi J(2022)The Core Industry Manufacturing Process of Electronics Assembly Based on Smart ManufacturingACM Transactions on Management Information Systems10.1145/352909813:4(1-19)Online publication date: 9-Aug-2022
https://dl.acm.org/doi/10.1145/3529098
Huang ZChen JShen LChen X(2022)Fraship: A Framework to Support End-User Personalization of Smart Home Services with Runtime Knowledge GraphCompanion Proceedings of the Web Conference 202210.1145/3487553.3524710(987-995)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3487553.3524710
Show More Cited By

Index Terms

Runtime model based approach to IoT application development
1. Software and its engineering

Index terms have been assigned to the content through auto-classification.

Recommendations

FloWare: a model-driven approach fostering reuse and customisation in IoT applications modelling and development
Abstract
The relevance of IoT-based solutions in everyday life is continuously increasing. The capability to sense the world, activate computation based on data gathered by sensors, and possibly produce reactions on the world itself results in an almost ...
X-IoT: a model-driven approach for cross-platform IoT applications development
SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Several heterogeneous IoT platforms have been proposed and regularly used by enterprises and academies to support and facilitate IoT software applications development. However, IoT applications strongly depend on the functionalities supported by the ...
A pattern for a Secure IoT Thing
EuroPLoP '21: Proceedings of the 26th European Conference on Pattern Languages of Programs

IoT systems are very complex systems with an extensive attack surface, which makes them susceptible to a large variety of threats. It is important that every component in an IoT architecture be secure, any weak point can allow an adversary to penetrate ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Frontiers of Computer Science: Selected Publications from Chinese Universities

Frontiers of Computer Science: Selected Publications from Chinese Universities Volume 9, Issue 4

Aug 2015

125 pages

ISSN:2095-2228

EISSN:2095-2236

Issue’s Table of Contents

Copyright © Copyright © 2015 Higher Education Press and Springer-Verlag Berlin Heidelberg.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 August 2015

Author Tags

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

43
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 24 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Nong MHuang LLiu M(2022)Allocation of Resources for Cloud Survivability in Smart ManufacturingACM Transactions on Management Information Systems10.1145/353370113:4(1-11)Online publication date: 18-May-2022
https://dl.acm.org/doi/10.1145/3533701
Chen RChen XWang LLi J(2022)The Core Industry Manufacturing Process of Electronics Assembly Based on Smart ManufacturingACM Transactions on Management Information Systems10.1145/352909813:4(1-19)Online publication date: 9-Aug-2022
https://dl.acm.org/doi/10.1145/3529098
Huang ZChen JShen LChen X(2022)Fraship: A Framework to Support End-User Personalization of Smart Home Services with Runtime Knowledge GraphCompanion Proceedings of the Web Conference 202210.1145/3487553.3524710(987-995)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3487553.3524710
Chen JChen ZZheng LChen X(2022)A Spatio-Temporal Data-Driven Automatic Control Method for Smart Home ServicesCompanion Proceedings of the Web Conference 202210.1145/3487553.3524705(948-955)Online publication date: 25-Apr-2022
https://dl.acm.org/doi/10.1145/3487553.3524705
Qin HWang X(2022)A multi-discipline predictive intelligent control method for maintaining the thermal comfort on indoor environmentApplied Soft Computing10.1016/j.asoc.2021.108299116:COnline publication date: 6-May-2022
https://dl.acm.org/doi/10.1016/j.asoc.2021.108299
Gao LZheng FBian J(2022)Using computer theory to detect PCB defects in an IoT environmentThe Journal of Supercomputing10.1007/s11227-022-04610-478:17(18887-18914)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1007/s11227-022-04610-4
Su FChen M(2022)Basketball players' score prediction using artificial intelligence technology via the Internet of ThingsThe Journal of Supercomputing10.1007/s11227-022-04573-678:17(19138-19166)Online publication date: 1-Nov-2022
https://dl.acm.org/doi/10.1007/s11227-022-04573-6
Wang L(2022)RETRACTED ARTICLE: Application of deep learning to detect defects on the surface of steel balls in an IoT environmentThe Journal of Supercomputing10.1007/s11227-022-04516-178:14(16425-16452)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s11227-022-04516-1
Hu YFu TNiu GLiu ZPun M(2022)3D map reconstruction using a monocular camera for smart citiesThe Journal of Supercomputing10.1007/s11227-022-04512-578:14(16512-16528)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s11227-022-04512-5
Ruan CQu WLuo JLu K(2022)An algorithm for calculating the degree of similarity between English words through the different position and appearance coefficients of lettersThe Journal of Supercomputing10.1007/s11227-022-04511-678:14(15974-15994)Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s11227-022-04511-6
Show More Cited By

View Options

View options

Media

Figures

Other

Tables

View Issue’s Table of Contents