Leveraging the Grid for e-Science: The Remote Instrumentation Infrastructure

Part of the Computer Communications and Networks book series (CCN)


The grid technology provides great support for diverse scientific ­applications, offering them access to a virtually unlimited computing and storage resource pool. In the main application areas of the modern grid, much interest has recently arisen around operational support of instruments, sensors, and laboratory equipment in general. The complex of activities related to this topic can be summarized under the interdisciplinary subject remote instrumentation, where the term instrumentation includes any kind of experimental equipment and a general framework for remote accessing that equipment. However, efficient adoption of the grid by a concrete scientific domain requires considerable adaptation and integration efforts to be performed on different levels of middleware, networking, infrastructure resources, etc. The chapter summarizes the main steps and activities towards the establishment of a Remote Instrumentation Infrastructure, a grid-based environment that covers all of those issues which arise while enabling the remote instrumentation for e-Science on practice.


Grid Resource Grid Service Grid Infrastructure Grid Technology Grid Site 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We kindly acknowledge to the consortium of the EU project “DORII” for the provided materials and the European Commission which funded the DORII project (under contract no. 213110).


  1. 1.
    Adami, D., Cheptsov, A., Davoli, F., Liabotis, I., Pugliese, R., Zafeiropoulos, A.: The DORII project test bed: distributed eScience applications at work. In: Proceedings of the 5th International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities and Workshops TridentCom, Washington, DC. ISBN: 978-1-4244-2846-5. doi  10.1109/TRIDENTCOM.2009.4976247 (2009)
  2. 2.
    Adami, D.: Final design of the distributed infrastructure over the GEANT Network. DORII DSA1.3 Deliverable. Retrieved from http://www.dorii.eu/resources:network:deliverables (2009)
  3. 3.
    Cheptsov, A.: First prototype of integrated products from previous projects. DORII DJRA3 Deliveralbe. Retrieved from http://www.dorii.eu/resources:adaptation:deliverables (2009)
  4. 4.
    Cheptsov, A., Dichev, K., Keller, R., Lazzari, P., Salon, S.: Porting the OPATM-BFM application to a grid e-Infrastructure – optimization of communication and I/O patterns. Comput. Meth. Sci. Technol. 15(1), 9–19 (2009)Google Scholar
  5. 5.
    Cheptsov, A., Keller, R., Pugliese, R., Prica, M., Del Linz, A., Plociennik, M., Lawenda, M., Meyer, N.: Towards deployment of the remote instrumentation e-Infrastructure. Comput. Meth. Sci. Technol. 15(1), 65–74 (2009)Google Scholar
  6. 6.
    Flemming, N., Vallerga, S., Pinardi, N., Behrens, H., Manzella, G., Prandle, D., Stel, J. (eds.): Operational Oceanography – Implementation at the European and Regional Scales. Elsevier oceanography, vol. 66. Elsevier, Amsterdam (2002)Google Scholar
  7. 7.
    IFM-GEOMAR: Glider cruising the ocean. Retrieved from http://www.ifm-geomar.de/index.php?id=1241 &L=1(2008)
  8. 8.
    Lazzari, P.: Coupling of transport and biogeochemical models in the Mediterranean Sea. PhD thesis in Environmental Science, University of Trieste, Trieste (2008)Google Scholar
  9. 9.
    Liabotis, I.: Final description of the deployed management infrastructure. DORII DSA2.4 Deliverable. Retrieved from http://www.dorii.eu/resources:deployment:deliverables (2009)
  10. 10.
    Meyer, N.: Integrating e-Infrastructure and scientific instrumentation. British Publishers. Retrieved from http://viewer.zmags.com/publication/116913e6#/116913e6/22 (2009)
  11. 11.
    Pinardi, N., Nittis, K., Drago, A., Crise, A., Poulain, P., Cardin, V., Manzella, G., Reseghetti, Alvarez, E., Cruzado, A., Tintore, J., Zodiatis, G., Hayes, D.: Operational oceanography observing system developments in the Mediterranean Sea in support of the MFSD implementation. Retrieved from http://www.moon-oceanforecasting.eu/files/medgoos_moonreport-updatejune2009.v9.pdf (2009)
  12. 12.
    Polak, M., Kranzlmüller, D.: Interactive videostreaming visualization on grids. Future Generation Comput. Syst. 24(1), 39–45 (2008)CrossRefGoogle Scholar
  13. 13.
    Salon, S., Poulain, P.M., Mauri, E., Gerin, R., Adami, D., Davoli, F.: Remote oceanographic instrumentation integrated in a GRID environment. J. Comput. Meth. Sci. Technol. 15(1), 49–55 (2009)Google Scholar
  14. 14.
    Wolniewicz, P., Meyer, N., Stroiński, M., Stuempert, M., Kornmayer, H., Polak, M., Gjermundröd, H.: Accessing grid computing resources with g-eclipse platform. J. Comput. Meth. Sci. Technol. 13(2), 131–141 (2007)Google Scholar
  15. 15.
    Wunnava, S.V., Hoo, P.: Remote Instrumentation Access and Control (RIAC) through inter-net­working. In: Proceedings of the IEEE Conference Southeastcon, Lexington, pp. 116–121 (1999)Google Scholar

Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.High Performance Computing Center Stuttgart (HLRS)Universtitat StuttgartStuttgartGermany

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