tailieunhanh - Báo cáo hóa học: " Research Article Titan: An Enabling Framework for Activity-Aware “Pervasive Apps ” in Opportunistic Personal Area Networks"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Titan: An Enabling Framework for Activity-Aware “Pervasive Apps ” in Opportunistic Personal Area Networks | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2011 Article ID 172831 22 pages doi 2011 172831 Research Article Titan An Enabling Framework for Activity-Aware Pervasive Apps in Opportunistic Personal Area Networks Daniel Roggen 1 Clemens Lombriser 1 2 Mirco Rossi 1 and Gerhard Troster1 1 Wearable Computing Laboratory ETH Zurich 8092 Zurich Switzerland 2IBM Zurich Research Laboratory Saumerstrasse 4 8803 Ruschlikon Switzerland Correspondence should be addressed to Daniel Roggen droggen@ Received 24 October 2010 Accepted 31 December 2010 Academic Editor Arie Reichman Copyright 2011 Daniel Roggen et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Upcoming ambient intelligence environments will boast ever larger number of sensor nodes readily available on body in objects and in the user s surroundings. We envision Pervasive Apps user-centric activity-aware pervasive computing applications. They use available sensors for activity recognition. They are downloadable from application repositories much like current Apps for mobile phones. A key challenge is to provide Pervasive Apps in open-ended environments where resource availability cannot be predicted. We therefore introduce Titan a service-oriented framework supporting design development deployment and execution of activity-aware Pervasive Apps. With Titan mobile devices inquire surrounding nodes about available services. Internet-based application repositories compose applications based on available services as a service graph. The mobile device maps the service graph to Titan Nodes. The execution of the service graph is distributed and can be remapped at run time upon changing resource availability. The framework is geared to streaming data processing and machine learning which is key .