Limiting pre-distribution and clustering users on multicast pre-distribution VoD

Noriaki Kamiyama, Ryoichi Kawahara, Tatsuya Mori, Haruhisa Hasegawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In Video on Demand (VoD) services, the demand for content items greatly changes daily, so reducing the server load at the peak time is an important issue for ISPs to reduce the server cost. To achieve this goal, we proposed to reduce the server load by multicasting popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. In this solution, however, the hit ratio of pre-distributed content items is small, and a large-capacity storage is required at set-top box (STB). We might be able to cope with this problem by limiting the number of pre-distributed content items or clustering users based on the history of viewing. We evaluate the effect of these techniques using actual VoD access log data. We clarify that the required storage capacity at STB can be halved while keeping the effect of server load reduction to about 80% by limiting pre-distributed content items, and user clustering is effective only when the cluster count is about two.

Original languageEnglish
Title of host publicationProceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011
Pages706-709
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011 - Dublin
Duration: 2011 May 232011 May 27

Other

Other12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011
CityDublin
Period11/5/2311/5/27

Fingerprint

Video on demand
Servers
Set-top boxes
Multicasting
Costs

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Kamiyama, N., Kawahara, R., Mori, T., & Hasegawa, H. (2011). Limiting pre-distribution and clustering users on multicast pre-distribution VoD. In Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011 (pp. 706-709). [5990661] https://doi.org/10.1109/INM.2011.5990661

Limiting pre-distribution and clustering users on multicast pre-distribution VoD. / Kamiyama, Noriaki; Kawahara, Ryoichi; Mori, Tatsuya; Hasegawa, Haruhisa.

Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. 2011. p. 706-709 5990661.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kamiyama, N, Kawahara, R, Mori, T & Hasegawa, H 2011, Limiting pre-distribution and clustering users on multicast pre-distribution VoD. in Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011., 5990661, pp. 706-709, 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011, Dublin, 11/5/23. https://doi.org/10.1109/INM.2011.5990661
Kamiyama N, Kawahara R, Mori T, Hasegawa H. Limiting pre-distribution and clustering users on multicast pre-distribution VoD. In Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. 2011. p. 706-709. 5990661 https://doi.org/10.1109/INM.2011.5990661
Kamiyama, Noriaki ; Kawahara, Ryoichi ; Mori, Tatsuya ; Hasegawa, Haruhisa. / Limiting pre-distribution and clustering users on multicast pre-distribution VoD. Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011. 2011. pp. 706-709
@inproceedings{58a0d2a536cb4da7869798079acf35ad,
title = "Limiting pre-distribution and clustering users on multicast pre-distribution VoD",
abstract = "In Video on Demand (VoD) services, the demand for content items greatly changes daily, so reducing the server load at the peak time is an important issue for ISPs to reduce the server cost. To achieve this goal, we proposed to reduce the server load by multicasting popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. In this solution, however, the hit ratio of pre-distributed content items is small, and a large-capacity storage is required at set-top box (STB). We might be able to cope with this problem by limiting the number of pre-distributed content items or clustering users based on the history of viewing. We evaluate the effect of these techniques using actual VoD access log data. We clarify that the required storage capacity at STB can be halved while keeping the effect of server load reduction to about 80{\%} by limiting pre-distributed content items, and user clustering is effective only when the cluster count is about two.",
author = "Noriaki Kamiyama and Ryoichi Kawahara and Tatsuya Mori and Haruhisa Hasegawa",
year = "2011",
doi = "10.1109/INM.2011.5990661",
language = "English",
isbn = "9781424492213",
pages = "706--709",
booktitle = "Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011",

}

TY - GEN

T1 - Limiting pre-distribution and clustering users on multicast pre-distribution VoD

AU - Kamiyama, Noriaki

AU - Kawahara, Ryoichi

AU - Mori, Tatsuya

AU - Hasegawa, Haruhisa

PY - 2011

Y1 - 2011

N2 - In Video on Demand (VoD) services, the demand for content items greatly changes daily, so reducing the server load at the peak time is an important issue for ISPs to reduce the server cost. To achieve this goal, we proposed to reduce the server load by multicasting popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. In this solution, however, the hit ratio of pre-distributed content items is small, and a large-capacity storage is required at set-top box (STB). We might be able to cope with this problem by limiting the number of pre-distributed content items or clustering users based on the history of viewing. We evaluate the effect of these techniques using actual VoD access log data. We clarify that the required storage capacity at STB can be halved while keeping the effect of server load reduction to about 80% by limiting pre-distributed content items, and user clustering is effective only when the cluster count is about two.

AB - In Video on Demand (VoD) services, the demand for content items greatly changes daily, so reducing the server load at the peak time is an important issue for ISPs to reduce the server cost. To achieve this goal, we proposed to reduce the server load by multicasting popular content items to all users independently of actual requests as well as providing on-demand unicast delivery. In this solution, however, the hit ratio of pre-distributed content items is small, and a large-capacity storage is required at set-top box (STB). We might be able to cope with this problem by limiting the number of pre-distributed content items or clustering users based on the history of viewing. We evaluate the effect of these techniques using actual VoD access log data. We clarify that the required storage capacity at STB can be halved while keeping the effect of server load reduction to about 80% by limiting pre-distributed content items, and user clustering is effective only when the cluster count is about two.

UR - http://www.scopus.com/inward/record.url?scp=80052705910&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80052705910&partnerID=8YFLogxK

U2 - 10.1109/INM.2011.5990661

DO - 10.1109/INM.2011.5990661

M3 - Conference contribution

AN - SCOPUS:80052705910

SN - 9781424492213

SP - 706

EP - 709

BT - Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011

ER -