Hierarchical network storage architecture for video-on-demand services

Ying-Dar Lin*, Horng Zhu Lai, Yuan Cheng Lai

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

Recent advances in Cable TV networks and multimedia technologies open the possibilities for network/service/content providers to offer residential customers with video-on-demand services. However, the mass storage system in supporting such services demands proper organization and management. In this thesis we present a three-level hierarchical network storage architecture for the video-on-demand storage system. At the first-level (Local Service Center, LSC) a limited number of programs with high viewing probabilities are stored; while at the second-level (Local Central Service Center, LCSC) a few programs with second high viewing probabilities are stored. The third-level (Central Service Center, CSC) contains all programs provided in the system. Based on this architecture and the program viewing probability distribution function, we use a minimum-cost function to find out the numbers of programs stored in the two service centers (LSC and LCSC) and numbers of links among these three service centers. We also describe two program reallocation algorithms which swap programs between service centers according to the change in user request patterns.

Original languageEnglish
Pages (from-to)355-364
Number of pages10
JournalConference on Local Computer Networks
StatePublished - 1 Dec 1996
EventProceedings of the 1996 21st Conference on Local Computer Networks - Minneapolis, MN, USA
Duration: 13 Oct 199616 Oct 1996

Fingerprint Dive into the research topics of 'Hierarchical network storage architecture for video-on-demand services'. Together they form a unique fingerprint.

Cite this