• DocumentCode
    3739876
  • Title

    Resource Scheduling in Mobile Cloud Computing: Taxonomy and Open Challenges

  • Author

    Javad Zare;Saeid Abolfazli;Mohammad Shojafar;Amirrudin Kamsin

  • Author_Institution
    Fac. of Comput. Sci., &
  • fYear
    2015
  • Firstpage
    594
  • Lastpage
    603
  • Abstract
    Resource scheduling approaches (RSA) are the core component of mobile cloud computing (MCC) systems that aim to optimally allocate cloud-based remote resources to resource-intensive components of mobile applications. The ultimate goal of RSA is to reduce execution time and energy consumption of resource-intensive mobile applications which contributes to successful MCC adoption. Role of RSA is critical in efficiently executing resource-intensive mobile applications in the cloud. Although several aspects of MCC have been extensively reviewed, analysis of RSAs in MCC is overlooked. Therefore, it is important to provide a comprehensive review of RSA to complement existing literature in MCC. In this paper, we conduct a survey to review the state-of-the-art RSA approaches in MCC and present the taxonomy of existing RSA approaches. We present a brief tutorial on resource scheduling in MCC followed by a critical review of some of the most credible approaches to highlight their advantages and disadvantages. We then discuss the open challenges in this area and point out future research directions.
  • Keywords
    "Scheduling","Cloud computing","Heuristic algorithms","Processor scheduling","Mobile communication","Mobile handsets","Taxonomy"
  • Publisher
    ieee
  • Conference_Titel
    Data Science and Data Intensive Systems (DSDIS), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/DSDIS.2015.93
  • Filename
    7396562