Lightweight kernel/user communication for real-time and multimedia applications
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Adaptive feedback scheduling of incremental and design-to-time tasks
ICSE '01 Proceedings of the 23rd International Conference on Software Engineering
Coordinated CPU and event scheduling for distributed multimedia applications
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
A Network Co-processor-Based Approach to Scalable Media Streaming in Servers
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
On Network CoProcessors for Scalable, Predictable Media Services
IEEE Transactions on Parallel and Distributed Systems
Dynamic Window-Constrained Scheduling of Real-Time Streams in Media Servers
IEEE Transactions on Computers
Adaptive fuzzy control scheduling of window-constrained real-time systems
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Advanced networking services for distributed multimedia streaming applications
Multimedia Tools and Applications
Proceedings of the conference on Design, automation and test in Europe
I-RMI: performance isolation in information flow applications
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Scalability and QoS guarantee for streams with (m,k)-firm deadline
Computer Standards & Interfaces
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This paper describes an algorithm, called Dynamic Window-Constrained Scheduling (DWCS), designed to meet the service constraints on packets from multiple, network-bound media streams with different performance objectives. Using only two attributes, a deadline and a loss-tolerance per packet stream, DWCS: (1) can limit the number of late packets over finite numbers of consecutive packets in loss-tolerant or delay-constrained, heterogeneous traffic streams, (2) does not require a-priori knowledge of the worst-case loading from multiple streams to establish the necessary bandwidth allocations to meet per-stream delay and loss-constraints, and (3) can exhibit both fairness and unfairness properties when necessary. In fact, DWCS can perform fair-bandwidth allocation, static priority (SP) and earliest-deadline first (EDF) scheduling. We show the effectiveness of DWCS using a streaming video application, running over ATM.