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
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