• DocumentCode
    615236
  • Title

    Towards the Scheduling of Access Requests in Cloud Storage

  • Author

    Xian Wu ; Peide Qian

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Suzhou Univ., Suzhou, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    37
  • Lastpage
    41
  • Abstract
    In recent years, cloud computing has emerged as an enabling technology, in which virtual machine migration and dynamic resource allocation is one of the hot issues. During the migration of virtual machine, access requests from end users coming constantly. So how to schedule these requests to ensure the performance of cloud storage system is the key issue. In this paper, we focus on scheduling access requests to provide end users desirable data when virtual data nodes are migrating. In this process, we interested in the following performance in the system: the availability of data, energy consumption and cost. The contributions of this paper are: (1) analyze the open issues of scheduling in cloud storage; (2) present the environment of scheduling access requests in cloud storage and discuss metrics which affect the scheduler; (3) define the formal concepts about this problem and give the main steps of scheduling algorithm. The main innovation of this paper is fully taken into account data node´s mobility in cloud storage. So we could establish the connection between resource availability and system availability. The results of this paper can be used in scheduling and resource management in cloud storage system to provide the mass storage of streaming media in cloud and its continuous access.
  • Keywords
    authorisation; cloud computing; processor scheduling; storage allocation; virtual machines; access request scheduling; cloud computing; cloud storage system performance; cost criteria; data availability criteria; data node mobility; dynamic resource allocation; energy consumption criteria; formal concepts; resource availability; resource management; streaming media mass storage; system availability; virtual data node migration; virtual machine migration; Computational modeling; Handheld computers; Measurement; Quality of service; Random access memory; Resource management; Cloud Storage; Data Block; Migration; Request; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2013 8th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4673-4464-7
  • Type

    conf

  • DOI
    10.1109/ICCSE.2013.6553879
  • Filename
    6553879