• DocumentCode
    737185
  • Title

    Network Challenges of New Sources of Big Data

  • Author

    Komarov, Mikhail

  • Volume
    2
  • fYear
    2015
  • fDate
    13-16 July 2015
  • Firstpage
    27
  • Lastpage
    36
  • Abstract
    Big data is a term used to describe data sets so large and/or complex that traditional data processing algorithms and applications are inadequate. There are numerous challenges when handling these data including analysis, capture, search, sharing, storage, transfer, visualization and privacy. A significant portion of big data is expected to be generated by special types of networks -- wireless sensor systems. In this paper we first introduce the concept of big data and then proceed describing the current state-of-the-art in potential sources of big that may appear in the coming future including electromagnetic THz and bacterial micro- and nanoscale networks. We summarize the recent progress in these systems highlighting the problems that should be solved to make them realistic and contribute to the large big data picture.
  • Keywords
    Absorption; Big data; Context; Nanoscale devices; Noise; Propagation losses; big data; molecular; nanoscale networks; terahertz;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Informatics (CBI), 2015 IEEE 17th Conference on
  • Conference_Location
    Lisbon, Portugal
  • Type

    conf

  • DOI
    10.1109/CBI.2015.32
  • Filename
    7264764