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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gotoh, Y. Suzuki, K. Yoshihisa, T. Taniguchi, H. Kanazawa, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Graduate School of Natural Science and Technology, Okayama University, Japan (Gotoh, Y.; Taniguchi, H.) || The Kyoto College of Graduate Studies for Informatics, Japan (Kanazawa, M.) || Cybermedia Center, Osaka University Osaka, Japan (Yoshihisa, T.) || BUFFALO INC., Japan (Suzuki, K.) |
| Abstract | Due to the recent spread of streaming delivery of movies, streaming using Peer-to-Peer (P2P) streaming technology has attracted much attention. In P2P streaming systems, to distribute the network load, peers from which the user receives data is selected at random. For this, clients have to wait until their desired data is delivered. Therefore, there are many researches to reduce the waiting time. However, because of the complexity of the implementation, they usually evaluate these methods using computer simulations. In actual environment, indeed, interruption time is not always reduced by increasing clients to deliver data. To evaluate the effectiveness of P2P streaming systems, it is important to implement an actual P2P streaming system. In this paper, we evaluate a P2P streaming system. By using our implemented P2P streaming system, we investigate situations that its system is effective. As a result of our evaluation, we confirmed that interruption time is reduced effectively. |
| Starting Page | 343 |
| Ending Page | 350 |
| File Size | 971348 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457715389 |
| e-ISBN | 9781457715396 |
| DOI | 10.1109/ICDIM.2011.6093352 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-26 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Schedules Peer to peer computing Computational modeling Bandwidth Optimal scheduling Electronic mail Servers |
| Content Type | Text |
| Resource Type | Article |
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