Energy-aware system design for wireless multimedia

In this paper, we present various challenges that arise in the delivery and exchange of multimedia information to mobile devices. Specifically, we focus on techniques for maintaining QoS to end-user multimedia applications (e.g. video streaming, multimedia conferencing) while maximizing device lifetimes. In order to cope with the resource intensive nature of multimedia applications (in terms of computation, bandwidth and consequently power) and dynamic congestion levels in wireless networks, an end-to-end approach to QoS-aware power optimization is required. We discuss the trend towards such an integrated approach that couples the architectural, OS, middleware and application layers to achieve both user experience and device energy gains. We conclude with a discussion of tools for integrated system design and testing that will aid in rapid deployment of wireless multimedia.

[1]  Wu-chi Feng,et al.  Improving data caching for software MPEG video decompression , 1996, Electronic Imaging.

[2]  A. Veidenbaum,et al.  Architectural and compiler strategies for dynamic power management in the COPPER project , 2001, 2001 Innovative Architecture for Future Generation High-Performance Processors and Systems.

[3]  Christopher J. Hughes,et al.  Saving energy with architectural and frequency adaptations for multimedia applications , 2001, MICRO.

[4]  Scott Shenker,et al.  Scheduling for reduced CPU energy , 1994, OSDI '94.

[5]  Douglas L. Jones,et al.  Design and evaluation of a cross-layer adaptation framework for mobile multimedia systems , 2003, IS&T/SPIE Electronic Imaging.

[6]  Nikil D. Dutt,et al.  Reducing Backlight Power Consumption for Streaming Video Applications on Mobile Handheld Devices , 2003, ESTImedia.

[7]  Miriam Leeser,et al.  Optimizing the data cache performance of a software MPEG-2 video decoder , 1997, MULTIMEDIA '97.

[8]  Yoshio Turner,et al.  Reduced energy decoding of MPEG streams , 2003, Multimedia Systems.

[9]  Surendar Chandra.  Wireless network interface energy consumption , 2003, Multimedia Systems.

[10]  Nikil D. Dutt,et al.  Memory Architecture Exploration for Programmable Embedded Systems , 2002, Springer US.

[11]  Prashant Shenoy,et al.  Proxy-Assisted Power-Friendly Streaming to Mobile Devices , 2003, IS&T/SPIE Electronic Imaging.

[12]  Jason Flinn,et al.  Energy-aware adaptation for mobile applications , 1999, SOSP.

[13]  Nalini Venkatasubramanian,et al.  PARM : power aware reconfigurable middleware , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[14]  Mahadev Satyanarayanan,et al.  Agile application-aware adaptation for mobility , 1997, SOSP.

[15]  Surendar Chandra,et al.  Wireless network interface energy consumption implications of popular streaming formats , 2001, IS&T/SPIE Electronic Imaging.

[16]  Martin Nilsson,et al.  Investigating the energy consumption of a wireless network interface in an ad hoc networking environment , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[17]  Klara Nahrstedt,et al.  A middleware framework coordinating processor/power resource management for multimedia applications , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[18]  Paul J.M. Havinga,et al.  Mobile Multimedia Systems , 2002 .

[19]  Karthik Dantu,et al.  Frame-based dynamic voltage and frequency scaling for a MPEG decoder , 2002, ICCAD 2002.

[20]  Brian Christopher Smith,et al.  Compressed domain transcoding of MPEG , 1998, Proceedings. IEEE International Conference on Multimedia Computing and Systems (Cat. No.98TB100241).

[21]  Stefan Winkler,et al.  Issues in vision modeling for perceptual video quality assessment , 1999, Signal Process..

[22]  Amin Vahdat,et al.  Application-specific Network Management for Energy-Aware Streaming of Popular Multimedia Formats , 2002, USENIX Annual Technical Conference, General Track.