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Distributing streaming media content using cooperative networking

Padmanabhan, Venkata N., Wang, Helen J., Chou, Philip A., Sripanidkulchai, Kunwadee·2002·Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video

Abstract

In this paper, we discuss the problem of distributing streaming media content, both live and on-demand, to a large number of hosts in a scalable way. Our work is set in the context of the traditional client-server framework. Specifically, we consider the problem that arises when the server is overwhelmed by the volume of requests from its clients. As a solution, we propose Cooperative Networking (CoopNet), where clients cooperate to distribute content, thereby alleviating the load on the server. We discuss the proposed solution in some detail, pointing out the interesting research issues that arise, and present a preliminary evaluation using traces gathered at a busy news site during the ash crowd that occurred on September 11, 2001.

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Metadata

Authors
Padmanabhan, V. N., Wang, H. J., Chou, P. A., & Sripanidkulchai, K.
Venue
Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
Publisher
ACM
Published
2002-05-12
Pages
177-186
OpenAlex
W2135980240
Cited by
809
References
0
FWCI
32.81
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Distributing streaming media content using cooperative networking. https://app.cochat.ai/papers/10.1145/507670.507695
The paper
Padmanabhan, V. N., Wang, H. J., Chou, P. A., & Sripanidkulchai, K. (2002). Distributing streaming media content using cooperative networking. Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video. https://doi.org/10.1145/507670.507695

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.