• DocumentCode
    606479
  • Title

    Eywa: Crowdsourced and cloudsourced omniscience

  • Author

    Demirbas, Murat ; Yilmaz, Yavuz Selim ; Bulut, Muhammed Fatih

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. at Buffalo, Buffalo, NY, USA
  • fYear
    2013
  • fDate
    18-22 March 2013
  • Firstpage
    193
  • Lastpage
    198
  • Abstract
    Here we present our ubiquitous computing vision, Eywa. Eywa is an open publish-subscribe system that employs crowdsourcing for tasking and social networks & machine learning for identifying relevance. We argue that crowdsourcing (and the social networks and machine learning that enable it) should be a first class citizen in ubiquitous computing. We also observe that cloud computing is a natural platform to host such future ubiquitous computing systems. We discuss about some applications enabled by Eywa, and focus on our CuratedLiving application (which emphasizes “less choice more relevance” approach) as a case study.
  • Keywords
    cloud computing; groupware; learning (artificial intelligence); middleware; social networking (online); ubiquitous computing; CuratedLiving application; Eywa; cloud computing; cloudsourcing; crowdsourced collaboration; machine learning; open publish-subscribe system; social network; tasking; ubiquitous computing vision; Collaboration; Crowdsourcing; Ecosystems; Sensors; Smart phones; Social network services; Ubiquitous computing; Cloud computing; Crowdsourced collaboration; Internet of things; Smartphones; Social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-5075-4
  • Electronic_ISBN
    978-1-4673-5076-1
  • Type

    conf

  • DOI
    10.1109/PerComW.2013.6529480
  • Filename
    6529480