University of California, Irvine and San Diego.pptVIP

Copyright 2002 CECS The Spark Project Talk Outline Overview Distributed Wireless Multimedia Case Study: The FORGE Framework IP Reuse at Philips Challenges in Wireless Multimedia Processing Proliferation of Devices System support for multitude of smart devices that attach and detach from a distributed infrastructure produce large volume of information at a high rate limited by communication and power constraints Need a customizable networking backbone QoS driven resource provisioning algorithms for highly dynamic environments Need to deal adaptively with incoming requests Dynamically reconfigure system to service requests High Data Volume of Multimedia Information Challenges in Wireless Multimedia Processing Dealing with Device Mobility Need high degree of “network awareness” congestion rates, mobility patterns etc. global system state is constantly changing Service Brokering for QoS Aware Resource Provisioning Admission control, Load-balancing etc. Multimedia Processing challenges Soft Real Time Constraints Synchronization (e.g. lip sync. , floor control) Support for traditional media (text, images) and continuous media (audio/video) Other considerations – Availability, Reliability, Cost-Effectiveness Security Multimedia Streaming Example Opportunities in Wireless Multimedia System Design Dynamic nature of multimedia tasks leaves some computational slack Slack = Difference between computational capability and computational requirements due to deadlines QoS trade-offs possible for reducing energy consumption Example: Lower quality video needs less computation/bandwidth Multimedia Applications Characteristics Kernels of computation-dominated operations E.g. MPEG: IDCT, motion compensation, VLD Predictable, regular behavior (most of the time) E.g. VLD, followed by IQ, IDCT Clear computation and/or data access patterns (cyclic) E.g. video frames are traversed in a known order Exploit multimedia specific characteristics to enable a range of optimization