Testbeds and Research Infrastructure. Development of Networks and Communities. 8th International ICST Conference, TridentCom 2012, Thessanoliki, Greece, June 11-13, 2012, Revised Selected Papers

Research Article

A Framework for Resource Selection in Internet of Things Testbeds

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  • @INPROCEEDINGS{10.1007/978-3-642-35576-9_20,
        author={Michele Nati and Alexander Gluhak and Hamidreza Abangar and Stefan Meissner and Rahim Tafazolli},
        title={A Framework for Resource Selection in Internet of Things Testbeds},
        proceedings={Testbeds and Research Infrastructure. Development of Networks and Communities. 8th International ICST Conference, TridentCom 2012, Thessanoliki, Greece, June 11-13, 2012, Revised Selected Papers},
        proceedings_a={TRIDENTCOM},
        year={2012},
        month={12},
        keywords={Testbeds Resource selection Internet of Things Wireless Sensor Networks Semantics},
        doi={10.1007/978-3-642-35576-9_20}
    }
    
  • Michele Nati
    Alexander Gluhak
    Hamidreza Abangar
    Stefan Meissner
    Rahim Tafazolli
    Year: 2012
    A Framework for Resource Selection in Internet of Things Testbeds
    TRIDENTCOM
    Springer
    DOI: 10.1007/978-3-642-35576-9_20
Michele Nati1, Alexander Gluhak1, Hamidreza Abangar1, Stefan Meissner1, Rahim Tafazolli1
  • 1: University of Surrey

Abstract

As the scale and heterogeneity of experimental environments increases, the selection of adequate testbed resources becomes a daunting task for the experimenter. Wrong choices or unexpected resource behavior can significantly decrease an experimenter’s productivity. These challenges are further amplified by the recent trend of moving testbeds from isolated labs to unpredictable real world environments to favor experimental evaluation under realistic conditions. This paper presents a framework for resource selection in large scale and heterogeneous Internet of Things testbeds, in order to support the experimenter with an increased understanding of available testbed resources, their expected behavior and topological relationships in the experimentation environment. Through an evaluation case study we demonstrate the effectiveness of our proposed framework.