• DocumentCode
    578675
  • Title

    Remotely triggered semiconductor devices characterization laboratory in cloud environment

  • Author

    Maiti, Ananda

  • Author_Institution
    Sch. of Comput. Sci. & Eng., VIT Univ., Vellore, India
  • fYear
    2012
  • fDate
    20-23 Aug. 2012
  • Abstract
    Cloud computing is the current trend for business web applications which provide computing related services to the users. Cloud computing locates resources, distribute tasks and collects data from appropriate servers from a cluster of networked computers. Major advantages of the cloud computing include reduced cost of operation and maintenance compared to the usage of resources. It also makes it easy for users to find and process their request quickly. Hardware-based remote-triggered laboratories are used for educational and industrial purposes where the user remotely controls the instrument and conducts experiments. In this paper, methodologies for implementation of the cloud computing concepts and practices in the development of remote laboratories are discussed.
  • Keywords
    cloud computing; computer aided instruction; electronic engineering computing; electronic engineering education; semiconductor devices; business Web applications; cloud computing; cloud environment; computing related services; data collection; educational purposes; engineering education; hardware-based remote-triggered laboratories; industrial purposes; networked computer cluster; reduced maintenance cost; reduced operation cost; remotely triggered semiconductor devices characterization laboratory; resource location; task distribution; Cloud computing; Computer architecture; Instruments; Remote laboratories; Servers; cloud computing; remote laboratory; semicondutor device characterization; web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Teaching, Assessment and Learning for Engineering (TALE), 2012 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4673-2417-5
  • Electronic_ISBN
    978-1-4673-2416-8
  • Type

    conf

  • DOI
    10.1109/TALE.2012.6360347
  • Filename
    6360347