• DocumentCode
    251829
  • Title

    Towards a Mobile Ad-Hoc Cloud Management Platform

  • Author

    Khalifa, Ahmed ; Azab, Mohamed ; Eltoweissy, Mohamed

  • Author_Institution
    Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA
  • fYear
    2014
  • fDate
    8-11 Dec. 2014
  • Firstpage
    427
  • Lastpage
    434
  • Abstract
    The exponential growth of computational power and the advent of a multitude of energy-rich fixed and mobile nodes coupled with the emergence of modern resource management and virtualization technologies, Mobile Ad-hoc Clouds (MACs) are emerging as a viable computational asset. A major challenge is to construct MACs comprising highly dynamic, mobile, heterogeneous, fractionated, and scattered resources. Conventional resource virtualization technologies do not seamlessly consolidate such resources while adequately isolating the resource layer concerns from the executing code logic, which is key for MACs to operate and provision basic services. To this end, we propose Planet Cloud, a smart MAC management platform with an intrinsic support for highly mobile, heterogeneously-composed and dynamically-configured MACs. Planet Cloud enables MACs to autonomously adapt to real-time dynamic variation in its underlying infrastructure isolating the hardware and code management concerns. Such isolation enabled seamless task deployment, execution, migration, dynamic/adaptive resource allocation, and automated failure recovery. Analysis and simulation show that the proposed platform can safely and reliably provision and maintain the needed computational power for the MAC to operate in a highly dynamic mobile work environment.
  • Keywords
    cloud computing; mobile computing; resource allocation; Planet Cloud; adaptive resource allocation; automated failure recovery; dynamic resource allocation; energy-rich fixed nodes; mobile ad-hoc cloud management platform; mobile work environment; resource management; resource virtualization technology; smart MAC management platform; Calendars; Cloud computing; Dynamic scheduling; Mobile communication; Resource management; Servers; Spatiotemporal phenomena; autonomic computing; cloud management; collaborative computing; mobile cloud computing; mobile services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Utility and Cloud Computing (UCC), 2014 IEEE/ACM 7th International Conference on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/UCC.2014.54
  • Filename
    7027521