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  1. 論文誌(ジャーナル)
  2. Vol.54
  3. No.1

GENEVA: Streaming Control Algorithm Using Generalized Multiplicative-increase/additive-decrease

https://ipsj.ixsq.nii.ac.jp/records/88701
https://ipsj.ixsq.nii.ac.jp/records/88701
abfbe413-9ef4-43f2-8961-054c448034e6
名前 / ファイル ライセンス アクション
IPSJ-JNL5401043.pdf IPSJ-JNL5401043 (1.3 MB)
Copyright (c) 2013 by the Information Processing Society of Japan
オープンアクセス
Item type Journal(1)
公開日 2013-01-15
タイトル
タイトル GENEVA: Streaming Control Algorithm Using Generalized Multiplicative-increase/additive-decrease
タイトル
言語 en
タイトル GENEVA: Streaming Control Algorithm Using Generalized Multiplicative-increase/additive-decrease
言語
言語 eng
キーワード
主題Scheme Other
主題 [一般論文] real-time streaming, congestion control, forward error correction, GMIAD
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Graduate School of Media and Governance, Keio University
著者所属
Graduate School of Media and Governance, Keio University
著者所属
Faculty of Environment and Information Studies, Keio University
著者所属
Faculty of Environment and Information Studies, Keio University
著者所属(英)
en
Graduate School of Media and Governance, Keio University
著者所属(英)
en
Graduate School of Media and Governance, Keio University
著者所属(英)
en
Faculty of Environment and Information Studies, Keio University
著者所属(英)
en
Faculty of Environment and Information Studies, Keio University
著者名 Kazuhisa, Matsuzono

× Kazuhisa, Matsuzono

Kazuhisa, Matsuzono

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Hitoshi, Asaeda

× Hitoshi, Asaeda

Hitoshi, Asaeda

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Osamu, Nakamura

× Osamu, Nakamura

Osamu, Nakamura

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Jun, Murai

× Jun, Murai

Jun, Murai

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著者名(英) Kazuhisa, Matsuzono

× Kazuhisa, Matsuzono

en Kazuhisa, Matsuzono

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Hitoshi, Asaeda

× Hitoshi, Asaeda

en Hitoshi, Asaeda

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Osamu, Nakamura

× Osamu, Nakamura

en Osamu, Nakamura

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Jun, Murai

× Jun, Murai

en Jun, Murai

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論文抄録
内容記述タイプ Other
内容記述 Motivated by the deployment of wide-area high-speed networks, we propose GENEVA, the streaming control algorithm using generalized multiplicative-increase/additive-decrease (GMIAD). Because current typical congestion controllers such as a TCP-friendly rate control prevent occurrences of network congestion reacting susceptibly to packet loss, it causes a significant degradation of streaming quality due to low-achieving throughput (i.e., lower throughput than the maximum throughput that a streaming flow requires in maximum audio/video quality) and data packet losses. GENEVA avoids this problem by allowing a streaming flow to maintain moderate network congestion while trying to recover lost data packets that other competing flows cause during the process of probing for available bandwidth. Using the GMIAD mechanism, the FEC window size (the degree of FEC redundancy per unit time) is adjusted to suppress occurrences of bursty packet loss, while trying to effectively utilize network resources that other competing flows cannot consume due to reductions in the transmission rate in response to packet loss. We describe the GENEVA algorithm and evaluate its effectiveness using an NS-2 simulator. The results show that GENEVA enables high-performance streaming flows to retain higher streaming quality under stable conditions while minimizing the adverse impact on competing TCP performance.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.21(2013) No.1 (online)
DOI http://dx.doi.org/10.2197/ipsjjip.21.109
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 Motivated by the deployment of wide-area high-speed networks, we propose GENEVA, the streaming control algorithm using generalized multiplicative-increase/additive-decrease (GMIAD). Because current typical congestion controllers such as a TCP-friendly rate control prevent occurrences of network congestion reacting susceptibly to packet loss, it causes a significant degradation of streaming quality due to low-achieving throughput (i.e., lower throughput than the maximum throughput that a streaming flow requires in maximum audio/video quality) and data packet losses. GENEVA avoids this problem by allowing a streaming flow to maintain moderate network congestion while trying to recover lost data packets that other competing flows cause during the process of probing for available bandwidth. Using the GMIAD mechanism, the FEC window size (the degree of FEC redundancy per unit time) is adjusted to suppress occurrences of bursty packet loss, while trying to effectively utilize network resources that other competing flows cannot consume due to reductions in the transmission rate in response to packet loss. We describe the GENEVA algorithm and evaluate its effectiveness using an NS-2 simulator. The results show that GENEVA enables high-performance streaming flows to retain higher streaming quality under stable conditions while minimizing the adverse impact on competing TCP performance.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.21(2013) No.1 (online)
DOI http://dx.doi.org/10.2197/ipsjjip.21.109
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 54, 号 1, 発行日 2013-01-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
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