Effect of Limiting Pre-Distribution and Clustering Users on Multicast Pre-Distribution VoD

Noriaki KAMIYAMA; Ryoichi KAWAHARA; Tatsuya MORI; Haruhisa HASEGAWA

doi:10.1587/transcom.E96.B.143

Effect of Limiting Pre-Distribution and Clustering Users on Multicast Pre-Distribution VoD

Noriaki KAMIYAMA, Ryoichi KAWAHARA, Tatsuya MORI, Haruhisa HASEGAWA

Full Text Views

0

Share
Cite this

Summary :

In Video on Demand (VoD) services, the demand for content items greatly changes daily over the course of the day. Because service providers are required to maintain a stable service during peak hours, they need to design system resources on the basis of peak demand time, so reducing the server load at peak times is important. To reduce the peak load of a content server, we propose to multicast popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. With this solution, however, the hit ratio of pre-distributed content items is small, and large-capacity storage is required at each set-top box (STB). We can expect to cope with this problem by limiting the number of pre-distributed content items or clustering users based on their viewing histories. We evaluated the effect of these techniques by using actual VoD access log data. We also evaluated the total cost of the multicast pre-distribution VoD system with the proposed two techniques.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.1 pp.143-154

Publication Date: 2013/01/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.143

Type of Manuscript: PAPER

Category: Network

Cite this

Copy

Noriaki KAMIYAMA, Ryoichi KAWAHARA, Tatsuya MORI, Haruhisa HASEGAWA, "Effect of Limiting Pre-Distribution and Clustering Users on Multicast Pre-Distribution VoD" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 1, pp. 143-154, January 2013, doi: 10.1587/transcom.E96.B.143.
Abstract: In Video on Demand (VoD) services, the demand for content items greatly changes daily over the course of the day. Because service providers are required to maintain a stable service during peak hours, they need to design system resources on the basis of peak demand time, so reducing the server load at peak times is important. To reduce the peak load of a content server, we propose to multicast popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. With this solution, however, the hit ratio of pre-distributed content items is small, and large-capacity storage is required at each set-top box (STB). We can expect to cope with this problem by limiting the number of pre-distributed content items or clustering users based on their viewing histories. We evaluated the effect of these techniques by using actual VoD access log data. We also evaluated the total cost of the multicast pre-distribution VoD system with the proposed two techniques.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.143/_p

Copy

@ARTICLE{e96-b_1_143,
author={Noriaki KAMIYAMA, Ryoichi KAWAHARA, Tatsuya MORI, Haruhisa HASEGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Effect of Limiting Pre-Distribution and Clustering Users on Multicast Pre-Distribution VoD},
year={2013},
volume={E96-B},
number={1},
pages={143-154},
abstract={In Video on Demand (VoD) services, the demand for content items greatly changes daily over the course of the day. Because service providers are required to maintain a stable service during peak hours, they need to design system resources on the basis of peak demand time, so reducing the server load at peak times is important. To reduce the peak load of a content server, we propose to multicast popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. With this solution, however, the hit ratio of pre-distributed content items is small, and large-capacity storage is required at each set-top box (STB). We can expect to cope with this problem by limiting the number of pre-distributed content items or clustering users based on their viewing histories. We evaluated the effect of these techniques by using actual VoD access log data. We also evaluated the total cost of the multicast pre-distribution VoD system with the proposed two techniques.},
keywords={},
doi={10.1587/transcom.E96.B.143},
ISSN={1745-1345},
month={January},}

Copy

TY - JOUR
TI - Effect of Limiting Pre-Distribution and Clustering Users on Multicast Pre-Distribution VoD
T2 - IEICE TRANSACTIONS on Communications
SP - 143
EP - 154
AU - Noriaki KAMIYAMA
AU - Ryoichi KAWAHARA
AU - Tatsuya MORI
AU - Haruhisa HASEGAWA
PY - 2013
DO - 10.1587/transcom.E96.B.143
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 1
JA - IEICE TRANSACTIONS on Communications
Y1 - January 2013
AB - In Video on Demand (VoD) services, the demand for content items greatly changes daily over the course of the day. Because service providers are required to maintain a stable service during peak hours, they need to design system resources on the basis of peak demand time, so reducing the server load at peak times is important. To reduce the peak load of a content server, we propose to multicast popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. With this solution, however, the hit ratio of pre-distributed content items is small, and large-capacity storage is required at each set-top box (STB). We can expect to cope with this problem by limiting the number of pre-distributed content items or clustering users based on their viewing histories. We evaluated the effect of these techniques by using actual VoD access log data. We also evaluated the total cost of the multicast pre-distribution VoD system with the proposed two techniques.
ER -