DocumentCode
2980685
Title
Social Networking for Pervasive Adaptation
Author
Allen, Stuart M. ; Conti, Marco ; Crowcroft, Jon ; Dunbar, Robin ; Lio, Pietro ; Mendes, J.F. ; Molva, Jose Fernando Mendes Ren¼ük ; Passarella, Andrea ; Stavrakakis, Ioannis ; Whitaker, Roger M.
fYear
2008
fDate
20-24 Oct. 2008
Firstpage
49
Lastpage
54
Abstract
As technology progresses, we are seeing increasing numbers of small devices that have the capability to store, process and forward information in our everyday physical environments. Increasingly, this is opening up the opportunity to generate, collect and communicate new knowledge and information in diverse aspects of human life. However this raises significant challenges for communication and content acquisition, as new levels of flexibility, adaptation and dynamism are required. In particular, the traditional notion of always-on end-to-end network connectivity becomes inappropriate, and radical rethinking is necessary. The EU FET project social networking for pervasive adaptation (SOCIALNETS) seeks to overcome these challenges by understanding, modelling and exploiting the key characteristics that enable humans to adapt and exhibit agility beyond other species. Through developing the capacity for devices to socially network, we believe that there is significant potential to facilitate highly effective pervasive communication and content provision.
Keywords
social networking (online); ubiquitous computing; EU FET project; SOCIALNETS; always-on end-to-end network connectivity; content provision; pervasive adaptation; pervasive communication; social networking; Conferences; Distributed computing; FETs; Humans; Impedance; Internet; Mobile communication; Mobile handsets; Pervasive computing; Social network services; ad-hoc networks; opportunistic networks; social networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems Workshops, 2008. SASOW 2008. Second IEEE International Conference on
Conference_Location
Venice
Print_ISBN
978-0-7695-3553-1
Electronic_ISBN
978-0-7695-3553-1
Type
conf
DOI
10.1109/SASOW.2008.34
Filename
4800652
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