• DocumentCode
    3575449
  • Title

    Fast Scalable Cloud Platform for Electromagnetic Modeling

  • Author

    Caragnano, Giuseppe ; Mossucca, Lorenzo ; Ruiu, Pietro ; Terzo, Olivier ; Francavilla, Matteo Alessandro

  • Author_Institution
    Adv. Comput. & Electromagn., Ist. Superiore Mario Boella, Turin, Italy
  • fYear
    2014
  • Firstpage
    604
  • Lastpage
    609
  • Abstract
    The Electromagnetic Modeling (EM) is a mathematical technique widely used by company and scientists for the design of aircraft, satellites, ships and automobiles. Since the complexity and the level of details of the analyzed structures are typically very high, for running EM modeling software a huge quantity of computational resources is required, both in terms of memory and CPUs. On the other hand, companies would like to be able to analyze EM impact, based on accurate models that corresponding to reality, entirely by software avoiding the creation and measure of real hardware prototypes, therefore reducing time and cost required for the planning stages. For these reasons the development of accurate and efficient EM models, together with an appropriate use of computational resources is a research topic with a strong industrial interest. In this paper, authors\´ present the work done in the project "Cloud Fast Scalable EM Modeling - CloudCEM" [partially funded by POR/FESR of Piedmont Region (2007-2013)]. CloudCEM proposes Cloud Computing technology for the solution of EM problems in order to reduce processing time, reduce costs and optimize computing resources.
  • Keywords
    cloud computing; mathematical analysis; CloudCEM; EM modeling software; aircraft; automobiles; cloud computing technology; electromagnetic modeling; fast scalable cloud platform; hardware prototypes; mathematical technique; satellites; ships; Algorithm design and analysis; Cloud computing; Clouds; Computational modeling; Computer aided engineering; Virtual machining; Cloud computing; EM modeling; Message Passing Interface;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networking and Collaborative Systems (INCoS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6386-7
  • Type

    conf

  • DOI
    10.1109/INCoS.2014.96
  • Filename
    7057157