• DocumentCode
    2831006
  • Title

    A Power Consumption Model for Storage-based Applications

  • Author

    Inoue, Takuro ; Ikeda, Makoto ; Enokido, Tomoya ; Aikebaier, Ailixier ; Takizawa, Makoto

  • Author_Institution
    Seikei Univ., Tokyo, Japan
  • fYear
    2011
  • fDate
    June 30 2011-July 2 2011
  • Firstpage
    612
  • Lastpage
    617
  • Abstract
    In order to realize digital ecosystems, the total electric power consumption of servers to perform applications has to be reduced in information systems. Applications are classified into computation, communication, and storage based types. In the computation and communication based applications, CPU and communication resources of computers are mainly consumed, respectively. In the storage-based applications, the electric power is consumed to access to storage drives like hard disk drives (HDDs) and solid state drives (SSDs). In this paper, we measure how much electric power of a server computer is consumed to read and write data in types of storage drives. Then, we discuss a power consumption model of a computer to perform a storage-based applications based on the measurement of the power consumption of storage drives. Here, the power consumption rate of a server is maximum if at least one process is performed. Otherwise, the power consumption rate is minimum. This is a simple power consumption model.
  • Keywords
    disc drives; ecology; hard discs; power aware computing; power consumption; digital ecosystem; electric power consumption; hard disk drive; information system; power consumption model; server computer; solid state drive; storage based application; storage drives; Computational modeling; Computers; Drives; Power demand; Power measurement; Servers; Digital ecosystem; Power consumption; Solid state drive;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems (CISIS), 2011 International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-61284-709-2
  • Electronic_ISBN
    978-0-7695-4373-4
  • Type

    conf

  • DOI
    10.1109/CISIS.2011.101
  • Filename
    5989039