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Semantic Resource Management of Federated IoT Testbeds

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Ad-hoc, Mobile, and Wireless Networks (ADHOC-NOW 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10517))

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Abstract

Testbeds and experimental network facilities accelerate the expansion of disruptive Internet services and support their evolution. The integration of IoT technologies in the context of Unmanned Vehicles (UxVs) and their deployment in federated, real–world testbeds introduce various challenging research issues. This paper presents the Semantic Aggregate Manager (SAM) that exploits semantic technologies for modeling and managing resources of federated IoT Testbeds. SAM introduces new semantics–based features tailored to the needs of IoT enabled UxVs, but on the same time allows the compatibility with existing legacy, “de facto” standardised protocols, currently utilized by multiple federated testbed management systems. The proposed framework is currently being deployed in order to be evaluated in real–world testbeds across several sites in Europe.

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Notes

  1. 1.

    http://sfawrap.info/.

  2. 2.

    http://fiteagle.github.io.

  3. 3.

    http://fp7-ofelia.github.io/ocf/.

  4. 4.

    https://www.w3.org/community/omn/.

  5. 5.

    http://www.foaf-project.org/.

  6. 6.

    http://trac.gpolab.bbn.com/gcf/wiki/Omni.

  7. 7.

    https://rubygems.org/gems/spira.

  8. 8.

    http://graphdb.ontotext.com/graphdb/.

  9. 9.

    https://github.com/nikoskal/samant.

  10. 10.

    http://samant.lab.netmode.ntua.gr/documents.

References

  1. Stavropoulos, D., Dadoukis, A., Rakotoarivelo, T., Ott, M., Korakis, T., Tassiulas, L.: Design, architecture and implementation of a resource discovery, reservation and provisioning framework for testbeds. In: 2015 13th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pp. 48–53. IEEE (2015)

    Google Scholar 

  2. Peterson, L., Ricci, R., Falk, A., Chase, J.: Slice-based federation architecture. Ad Hoc Des. Doc. 2008, 1 (2010)

    Google Scholar 

  3. Berman, M., Chase, J.S., Landweber, L., Nakao, A., Ott, M., Raychaudhuri, D., Seskar, I.: GENI: a federated testbed for innovative network experiments. Comput. Netw. 61, 5–23 (2014)

    Article  Google Scholar 

  4. Gavras, A., Karila, A., Fdida, S., May, M., Potts, M.: Future internet research and experimentation: the FIRE initiative. ACM SIGCOMM Comput. Commun. Rev. 37(3), 89–92 (2007)

    Article  Google Scholar 

  5. Faber, T., Ricci, R.: Resource description in GENI: RSpec model. In: Presentation Given at the Second GENI Engineering Conference, March 2008

    Google Scholar 

  6. Vermeulen, B., Van de Meerssche, W., Walcarius, T.: jFed toolkit, Fed4Fire, Federation. In: GENI Engineering Conference, vol. 19 (2014)

    Google Scholar 

  7. Brickley, D., Guha, R.V.: RDF vocabulary description language 1.0: RDF schema (2004)

    Google Scholar 

  8. Willner, A., Magedanz, T.: A future Internet resource management architecture. In: 2014 26th International Teletraffic Congress (ITC), pp. 1–4. IEEE

    Google Scholar 

  9. Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  MATH  Google Scholar 

  10. H2020 RAWFIE project, Road-, Air- and Water- based Future Internet Experimentation. http://www.rawfie.eu/

  11. Schumann, B., Scanlan, J., Fangohr, H., Ferraro, M.: A generic unifying ontology for civil unmanned aerial vehicle missions. In: 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, p. 5504 (2012)

    Google Scholar 

  12. Schlenoff, C., Balakirsky, S., Uschold, M., Provine, R., Smith, S.: Using ontologies to aid navigation planning in autonomous vehicles. Knowl. Eng. Rev. 18(03), 243–255 (2003)

    Article  Google Scholar 

  13. Provine, R., Schlenoff, C., Balakirsky, S., Smith, S., Uschold, M.: Ontology-based methods for enhancing autonomous vehicle path planning. Robot. Auton. Syst. 49(1), 123–133 (2004)

    Article  Google Scholar 

  14. Patron, P., Miguelanez, E., Cartwright, J., Petillot, Y.R.: Semantic knowledge-based representation for improving situation awareness in service oriented agents of autonomous underwater vehicles. In: OCEANS 2008, pp. 1–9. IEEE (2008)

    Google Scholar 

  15. Li, X., Bilbao, S., Martín-Wanton, T., Bastos, J., Rodriguez, J.: SWARMs ontology: a common information model for the cooperation of underwater robots. Sensors 17(3), 569 (2017)

    Article  Google Scholar 

  16. van der Ham, J., Dijkstra, F., Lapacz, R., Zurawski, J.: Network markup language base schema version 1. In: Grid Forum Documents (2013)

    Google Scholar 

  17. van der Ham, J., Steger, J., Laki, S., Kryftis, Y., Maglaris, V., de Laat, C.: The NOVI information models. Fut. Gener. Comput. Syst. 42, 64–73 (2015)

    Article  Google Scholar 

  18. Xin, Y., Baldin, I., Chase, J., Ogan, K.: Leveraging semantic web technologies for managing resources in a multi-domain infrastructure-as-a-service environment. arXiv preprint arXiv:1403.0949 (2014)

  19. Willner, A., Papagianni, C., Giatili, M., Grosso, P., Morsey, M., Al-Hazmi, Y., Baldin, I.: The open-multinet upper ontology towards the semantic-based management of federated infrastructures. EAI Endorsed Trans. Scalable Inf. Syst. 2(7), 1–10 (2015)

    Google Scholar 

  20. Willner, A., Loughnane, R., Magedanz, T.: Federated infrastructure discovery and description language. In: 2015 IEEE International Conference on Cloud Engineering (IC2E), pp. 465–471. IEEE

    Google Scholar 

  21. Morsey, M., Willner, A., Loughnane, R., Giatili, M., Papagianni, C., Baldin, I., Al-Hazmi, Y.: DBcloud: semantic dataset for the cloud. In: 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pp. 207–212. IEEE (2016)

    Google Scholar 

  22. Lieberman, J., Signh, R., Goad, C.: W3C Geospatial Vocabulary (2007). https://www.w3.org/2005/Incubator/geo/XGR-geo-20071023/

  23. Compton, M., Barnaghi, P., Bermudez, L., GarciA-Castro, R., Corcho, O., Cox, S., Huang, V.: The SSN ontology of the W3C semantic sensor network incubator group. Web Semant. Sci. Serv. Agents World Wide Web 17, 25–32 (2012)

    Article  Google Scholar 

  24. Lefort, L.: Ontology for quantity kinds and units: units and quantities definitions. W3 Semantic Sensor Network Incubator Activity (2005)

    Google Scholar 

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Acknowledgments

This work has been partially supported by the European Commission, Horizon 2020 Framework Programme for research and innovation under grant agreement no. 645220.

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Authors and Affiliations

  1. School of Electrical and Computing Engineering, National Technical University of Athens, Athens, Greece

    Marios Avgeris, Nikos Kalatzis, Dimitrios Dechouniotis, Ioanna Roussaki & Symeon Papavassiliou

Authors
  1. Marios Avgeris
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  2. Nikos Kalatzis
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  3. Dimitrios Dechouniotis
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  4. Ioanna Roussaki
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  5. Symeon Papavassiliou
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Corresponding author

Correspondence to Marios Avgeris .

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Editors and Affiliations

  1. University of Messina, Messina, Italy

    Antonio Puliafito

  2. University of Messina, Messina, Italy

    Dario Bruneo

  3. University of Messina, Messina, Italy

    Salvatore Distefano

  4. Kazan Federal University, Kazan, Russia

    Francesco Longo

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Avgeris, M., Kalatzis, N., Dechouniotis, D., Roussaki, I., Papavassiliou, S. (2017). Semantic Resource Management of Federated IoT Testbeds. In: Puliafito, A., Bruneo, D., Distefano, S., Longo, F. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2017. Lecture Notes in Computer Science(), vol 10517. Springer, Cham. https://doi.org/10.1007/978-3-319-67910-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-67910-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67909-9

  • Online ISBN: 978-3-319-67910-5

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