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
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;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394381
