DocumentCode
427112
Title
Data partitioning techniques for pervasive multimedia platforms
Author
Hu, Xiaoping ; Ogras, Umit Y. ; Zamora, Nicholas H. ; Marculescu, Radu
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA
Volume
2
fYear
2004
fDate
30-30 June 2004
Firstpage
1035
Abstract
In this paper, we propose a method for mapping multimedia applications on systems with very limited resources (i.e. memory, computing capability and battery lifetime) by combining adaptive data partitioning with content-based dynamic power management. The potential of the approach is illustrated through a case study of an object tracking application running on a resource constrained system which can be embedded in the environment (e.g. offices, home or conference rooms) to offer significantly more opportunities for ubiquitous information, seamless communication, enhanced security, etc. compared to today´s portable or stationary devices. Besides power and performance trade-offs, we also explore the scaling effects on data partitioning and provide insights for possible optimization when designing such systems
Keywords
multimedia communication; power consumption; ubiquitous computing; adaptive data partitioning; content-based dynamic power management; enhanced security; limited resources; object tracking application; optimization; pervasive multimedia platforms; resource constrained system; seamless communication; ubiquitous information; Battery management systems; Communication system security; Content management; Data security; Energy management; Memory management; Multimedia computing; Multimedia systems; Power system management; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
0-7803-8603-5
Type
conf
DOI
10.1109/ICME.2004.1394381
Filename
1394381
Link To Document