Adaptive rate control for streaming stored fine-grained scalable video
NOSSDAV '02 Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
PALS: peer-to-peer adaptive layered streaming
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Multi-Layer Active Queue Management and Congestion Control for Scalable Video Streaming
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Adaptive video streaming: pre-encoded MPEG-4 with bandwidth scaling
Computer Networks: The International Journal of Computer and Telecommunications Networking - QoS in multiservice IP networks
On optimal layering and bandwidth allocation for multisession video broadcasting
IEEE Transactions on Wireless Communications
The MPEG-4 fine-grained scalable video coding method for multimediastreaming over IP
IEEE Transactions on Multimedia
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
Arrangement of multi-dimensional scalable video data for heterogeneous clients
Information Systems
Inter-Object Layer Clustering for scalable video streaming
Multimedia Tools and Applications
Data reorganization for scalable video service with embedded mobile devices
ACM Transactions on Embedded Computing Systems (TECS) - Special issue on embedded systems for interactive multimedia services (ES-IMS)
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From file system's point of view, scalable streaming introduces another dimension of complexity in disk scheduling. This is particularly because when a subset of information is retrieved, the playback does not necessarily coincides with the sequential access. We propose a new file organization technique called Harmonic placement. The basic idea is to cluster the frequently accessed layers together. We develop elaborate analytical models for different file organization techniques: Progressive placement, Interleaved placement and Harmonic placement. We investigate the performance of file organization techniques under varying workload conditions. The models developed in this work enables us to predict the performance and efficiency of the storage system in scalable streaming environment. We find that the Harmonic placement outperforms other schemes in scalable streaming environment.