Dynamic allocation and replication techniques for increasing the stream capacity of a media server

Divyesh Jadav*, Alok Nidhi Choudhary

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

High performance servers and high speed networks will form the backbone of the infrastructure required for distributed multimedia information systems. A server for an interactive distributed multimedia system may require thousands of gigabytes of storage space and high I/O bandwidth. In order to maximize system utilization, and thus minimize cost, it is essential that the load be balanced among each of the server's components vis. the disks, the interconnection network and the scheduler. Many algorithms for maximizing retrieval capacity from the storage system have been proposed in the literature. This paper presents techniques for improving server capacity by assigning media requests to the noes of a server so as to balance the load on the interconnection network and the scheduling nodes. Five policies for request assignment, round robin, minimum link allocation, minimum contention allocation, weighted minimum link allocation and weighted minimum contention allocation are developed. We also consider the issue of file replication, and develop two schemes for storing the replicas. The performance of these policies on a server model developed earlier is presented.

Original languageEnglish (US)
Pages (from-to)301-315
Number of pages15
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2916
DOIs
StatePublished - Dec 1 1996
EventMultimedia Storage and Archiving Systems - Boston, MA, United States
Duration: Nov 18 1996Nov 18 1996

Keywords

  • File replication
  • Media-on-demand server
  • Networking and communication
  • Parallel I/O

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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