Towards Configuration Technologies for IoT Gateways

The AGILE project aims to create Internet of Things (IoT) gateway technologies that support many devices, protocols, and corresponding administration and software development activities. In this context, there are scenarios that require the support of configuration technologies. The major goal of this short paper is to provide an overview of application scenarios and related configuration technologies that will be developed within the scope of the AGILE project.

[1]  Mikolás Janota,et al.  Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence On Computing Minimal Correction Subsets , 2022 .

[2]  Mark Harman,et al.  An Analysis and Survey of the Development of Mutation Testing , 2011, IEEE Transactions on Software Engineering.

[3]  Raymond Reiter,et al.  A Theory of Diagnosis from First Principles , 1986, Artif. Intell..

[4]  Chi Harold Liu,et al.  The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey , 2015, IEEE Transactions on Emerging Topics in Computing.

[5]  H. Andersen.  An Introduction to Binary Decision Diagrams , 1997 .

[6]  Wolfgang Küchlin,et al.  Constraint-based and SAT-based diagnosis of automotive configuration problems , 2016, Journal of Intelligent Information Systems.

[7]  Daniel Sabin,et al.  Product Configuration Frameworks - A Survey , 1998, IEEE Intell. Syst..

[8]  Markus Stumptner,et al.  Consistency-based diagnosis of configuration knowledge bases , 1999, Artif. Intell..

[9]  Alexander Felfernig,et al.  Knowledge-Based Configuration: From Research to Business Cases , 2014 .

[10]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[11]  Alexander Felfernig,et al.  Using Answer Set Programming for Feature Model Representation and Configuration , 2014, Configuration Workshop.

[12]  Alexander Felfernig,et al.  Towards recommending configurable offerings , 2010 .

[13]  Alexander Felfernig,et al.  An efficient diagnosis algorithm for inconsistent constraint sets , 2011, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

[14]  Markus Stumptner,et al.  An Overview of Knowledge-Based Configuration , 1997, AI Commun..

[15]  Lothar Hotz,et al.  Knowledge-based Configuration for Configuring Combined Hardware/Software Systems , 2002, PuK.

[16]  Arkady B. Zaslavsky,et al.  Semantic-Driven Configuration of Internet of Things Middleware , 2013, 2013 Ninth International Conference on Semantics, Knowledge and Grids.

[17]  Andreas A. Falkner,et al.  SIEMENS: Configuration and Reconfiguration in Industry , 2014 .

[18]  Markus Stumptner,et al.  Configuring Large Systems Using Generative Constraint Satisfaction , 1998, IEEE Intell. Syst..

[19]  Alexander Felfernig,et al.  FlexDiag: anytime diagnosis for reconfiguration , 2015, Configuration Workshop.

[20]  Edward P. K. Tsang,et al.  Foundations of constraint satisfaction , 1993, Computation in cognitive science.

[21]  Gerhard Friedrich,et al.  An Integrated Environment for the Development of Knowledge-Based Recommender Applications , 2006, Int. J. Electron. Commer..

[22]  W. Edwards,et al.  Decision Analysis and Behavioral Research , 1986 .