• DocumentCode
    3736231
  • Title

    Classification methods for detecting idle intervals of network interfaces

  • Author

    Fabiano de M. Silva;Saulo O. D. Luiz;J. J. Silva;Hyggo Almeida

  • Author_Institution
    Embedded Systems and Pervasive Computing Laboratory, Center of Electrical Engineering and Informatics, Federal University of Campina Grande, 58.429-900, Campina Grande, Brazil
  • fYear
    2015
  • Firstpage
    308
  • Lastpage
    309
  • Abstract
    Network interfaces are components largely employed in battery powered mobile devices. Considering the need to save energy on these devices, power management policies were developed taking advantage of idle components, including network interfaces. To increase the efficiency of power management policies for network interfaces, the detection of idle periods with a high hit rate is relevant. In this work, a state-of-the-art method for detecting idle intervals of network interfaces is analysed and compared with a widely used method for classification problems.
  • Keywords
    "Network interfaces","Logistics","Testing","Supervised learning","Cost function","Training","Operating systems"
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics - Berlin (ICCE-Berlin), 2015 IEEE 5th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCE-Berlin.2015.7391265
  • Filename
    7391265