Inferring Latent Traffic Demand Offered to an Overloaded Link with Modeling QoS-Degradation Effect
Author:
Affiliation:
1. International Christian University
2. NTT Network Technology Laboratories, NTT Corporation
3. Faculty of Information Networking for Innovation and Design, Toyo University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E102.B/4/E102.B_2018EBP3093/_pdf
Reference21 articles.
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2. [2] Ministry of Internal Affairs and Communications, “Aggregation and Provisional Calculation of Internet Traffic in Japan,” http://www.soumu.go.jp/main_sosiki/joho_tsusin/eng/Releases/Telecommunications/170207_1.html, Feb. 2017.
3. [3] M. Luckie, A. Dhamdhere, D. Clark, B. Huffaker, and k. claffy, “Challenges in inferring Internet interdomain congestion,” Proc. ACM Internet Measurement Conference (IMC), pp.15-22, Vancouver, Canada, Nov. 2014. 10.1145/2663716.2663741
4. [4] Y. Sani, A. Mauthe, and C. Edwards, “Adaptive bitrate selection: A survey,” IEEE Commun. Surveys Tuts., vol.19, no.4, pp.2985-3014, 4th quater 2017. 10.1109/comst.2017.2725241
5. [5] F. Dobrian, A. Awan, D. Joseph, A. Ganjam, J. Zhan, V. Sekar, I. Stoica, and H. Zhang, “Understanding the impact of video quality on user engagement,” ACM SIGCOMM2011, pp.362-373, Toronto, Canada, Aug. 2011. 10.1145/2018436.2018478
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