• DocumentCode
    1583110
  • Title

    ACO based graph partitioning algorithm for optimistic deployment of software in MCC

  • Author

    Sachdeva, Shivani ; Kaur, Kamaljit

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Guru Nanak Dev Univ., Amritsar, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Mobile Cloud Computing has become very popular because it integrates mobile computing and cloud computing. This paper has presented a critical review on existing MCC techniques especially for optimistic deployment of software. The optimistic deployment mainly focuses on partitioning an application in such a way so that energy consumption will be minimized. The objective of this paper is to study and explore several graph partitioning algorithms and propose a new ACO based technique to deploy software in mobile clouds in optimistic approach. The recommended algorithm has the ability to overcome the limitations which are present in earlier techniques.
  • Keywords
    cloud computing; graph theory; mobile computing; ACO; MCC; graph partitioning algorithm; mobile cloud computing; optimistic deployment; Atmospheric measurements; Cloud computing; Context; Mobile communication; Particle measurements; Performance evaluation; Pipelines; ACO; Graph Partitioning; Mobile Cloud Computing; Offloading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-6817-6
  • Type

    conf

  • DOI
    10.1109/ICIIECS.2015.7193236
  • Filename
    7193236