抄録
Adaptive rate video streaming on a novel Internet architecture, called Named Data Networking (NDN), appears to be a promising technology. However, given the source of content on NDN is unknown to the consumer, rate adaptation becomes inefficient. Moreover, the traffic at some nodes holding popular contents still can be congested. In this paper, we utilize the Internet of Things (IoT) device for assisting content delivery at an NDN router that has low bandwidth. The location of IoT devices installation is determined by a metric calculated from link bandwidth, delay, and utilization. We performed the experiments using DASH-NDN-JS on the setup network. The results demonstrate that our proposal could support NDN router to deliver video content to additional consumers efficiently. Thus, the network scalability can be improved with a reasonable cost.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018 |
| 出版者 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN（電子版） | 9781538681640 |
| DOI | |
| 出版物ステータス | Published - 2019 5 10 |
| イベント | 22nd International Computer Science and Engineering Conference, ICSEC 2018 - Chiang Mai, Thailand 継続期間: 2018 11 21 → 2018 11 24 |
出版物シリーズ
| 名前 | 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018 |
|---|
Conference
| Conference | 22nd International Computer Science and Engineering Conference, ICSEC 2018 |
|---|---|
| 国 | Thailand |
| 市 | Chiang Mai |
| 期間 | 18/11/21 → 18/11/24 |
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ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Automotive Engineering
- Civil and Structural Engineering
- Control and Optimization
これを引用
Adaptive video streaming on named data networking with iot-assisted content delivery. / Awiphan, Suphakit; Poobai, Kanin; Katto, Jiro.
2018 22nd International Computer Science and Engineering Conference, ICSEC 2018. Institute of Electrical and Electronics Engineers Inc., 2019. 8712644 (2018 22nd International Computer Science and Engineering Conference, ICSEC 2018).研究成果: Conference contribution
}
TY - GEN
T1 - Adaptive video streaming on named data networking with iot-assisted content delivery
AU - Awiphan, Suphakit
AU - Poobai, Kanin
AU - Katto, Jiro
PY - 2019/5/10
Y1 - 2019/5/10
N2 - Adaptive rate video streaming on a novel Internet architecture, called Named Data Networking (NDN), appears to be a promising technology. However, given the source of content on NDN is unknown to the consumer, rate adaptation becomes inefficient. Moreover, the traffic at some nodes holding popular contents still can be congested. In this paper, we utilize the Internet of Things (IoT) device for assisting content delivery at an NDN router that has low bandwidth. The location of IoT devices installation is determined by a metric calculated from link bandwidth, delay, and utilization. We performed the experiments using DASH-NDN-JS on the setup network. The results demonstrate that our proposal could support NDN router to deliver video content to additional consumers efficiently. Thus, the network scalability can be improved with a reasonable cost.
AB - Adaptive rate video streaming on a novel Internet architecture, called Named Data Networking (NDN), appears to be a promising technology. However, given the source of content on NDN is unknown to the consumer, rate adaptation becomes inefficient. Moreover, the traffic at some nodes holding popular contents still can be congested. In this paper, we utilize the Internet of Things (IoT) device for assisting content delivery at an NDN router that has low bandwidth. The location of IoT devices installation is determined by a metric calculated from link bandwidth, delay, and utilization. We performed the experiments using DASH-NDN-JS on the setup network. The results demonstrate that our proposal could support NDN router to deliver video content to additional consumers efficiently. Thus, the network scalability can be improved with a reasonable cost.
KW - Adaptive video streaming
KW - Named data networking
UR - http://www.scopus.com/inward/record.url?scp=85066496981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066496981&partnerID=8YFLogxK
U2 - 10.1109/ICSEC.2018.8712644
DO - 10.1109/ICSEC.2018.8712644
M3 - Conference contribution
AN - SCOPUS:85066496981
T3 - 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018
BT - 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -