IBM / Introduction Wireless / ACM/IEEE Intl / Microsoft / /
Country
United States / / /
Facility
Electrical Engineering University of Southern California Los Angeles / /
IndustryTerm
application developer / larger applications / networked sensor systems / networked sensing applications / pervasive and mobile computing applications / information processing / information processing functionalities / pervasive computing / sensor networks / collaborative processing / actual information processing / actual hardware / in-network processing / network hardware / lower level services / distributed sense-and-respond applications / resource management / sor networks / wireless sensor networks / distributed computing community / in-network computing / computing / actual processing / deployment-specific distributed software system / sensor network / /
NaturalFeature
Description Channel / Semantic Streams / /
Organization
Electrical Engineering University of Southern California Los Angeles / Viktor K. Prasanna Department / End-to-End / Sense-and-Respond Systems / Applications / and Services USENIX Association / National Science Foundation / Daniel Larner Palo Alto Research Center / USENIX Association / /
Person
G. P. Picco / Maximum Figure / C. Curino / A. Giusti / M. Giani / M. Giorgetta / A. L. Murphy / Viktor K. Prasanna / Daniel Larner Palo Alto / /
Position
application model for pervasive computing / ATaG programmer / programming model for end-to-end application development / computer scientist / negation qualifier / parallel program model for scheduling / programmer / G. P. / /
The Abstract Task Graph: A Methodology for Architecture-Independent Programming of Networked Sensor Systems Amol Bakshi , Viktor K. Prasanna Department of Electrical Engineering University of Southern California Los