• DocumentCode
    616580
  • Title

    Leverage parking cars in a two-tier data center

  • Author

    Lin Gu ; Deze Zeng ; Song Guo ; Baoliu Ye

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    4665
  • Lastpage
    4670
  • Abstract
    A large number of data centers have been deployed and available for public renting with the rapid development of cloud computing recently. Meanwhile, the proliferation of automotive electronics has made rich resources in various forms of computation and communication. It is challenging but of great significance to make use of these resources in an efficient way. In this paper, we propose a two-tier data center architecture that leverages the excessive storage resources in parking lots. Such resources form an auxiliary vehicular data center (VDC) such that the pressure on the conventional data center can be mitigated and the total communication cost be reduced. After modeling the dynamics of available resources in a parking lot with a finite capacity, we propose three VDC management policies (i.e., non-replication, simple replication and network coding based replication) and derive their total communication cost in closed form. The high efficiency of the two-tier data center architecture and the accuracy of our analysis are validated via extensive simulations.
  • Keywords
    automotive electronics; cloud computing; computer centres; storage management; VDC management policies; automotive electronics; auxiliary VDC; auxiliary vehicular data center; cloud computing; network coding based replication; nonreplication; parking lots; simple replication; storage resources; two tier data center architecture; Computer architecture; Data models; Educational institutions; Network coding; Sensors; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6555330
  • Filename
    6555330