• DocumentCode
    1894636
  • Title

    Dynamic resource allocation for machine to cloud communications robotics cloud

  • Author

    Dhiyanesh, B.

  • fYear
    2012
  • fDate
    13-15 Dec. 2012
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    The computation and information sharing capabilities of networked robotics by proposing a clond robotic architecture. The cloud robotics architecture leverages the combination of a virtual ad-hoc clond formed by machine-to-machine (M2M) communications among participating robots, and an infrastructure cloud enabled by machine-to-cloud (M2C) communications. Clond robotics utilizes elastic computing models, in which resources are dynamically allocated from a shared resource pool in the clond, to support task offloading and information sharing In robotic applications. The propose communication protocols, and several elastic computing models to handle different applications. The technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in several applications.
  • Keywords
    cloud computing; multi-robot systems; protocols; resource allocation; software architecture; M2C communications; M2M communications; cloud communication robotic cloud; cloud robotic architecture; communication protocols; computation capabilities; dynamic resource allocation; dynamical resource allocation; elastic computing model; information sharing capabilities; infrastructure cloud; machine-to-cloud communications; machine-to-machine communications; networked robotics; shared resource pool; task offloading; virtual ad hoc cloud; cloud computing; elastic computing; machine-to-machine communication; robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4673-4633-7
  • Type

    conf

  • DOI
    10.1109/ICETEEEM.2012.6494498
  • Filename
    6494498