On-demand media streaming over the Internet

M. M. Hefeeda, B. K. Bhargava

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

18 Citations (Scopus)

Abstract

We propose a new model for on-demand media streaming centered around the peer-to-peer (P2P) paradigm. The proposed P2P model can support a large number of clients with a low overall system cost. The P2P model allows for peers to share some of their resources with the system and in return, they get some incentives or rewards. We describe how to realize (or deploy) the proposed model. In addition, we present a new dispersion algorithm (for disseminating the media files into the system) and a searching algorithm (for locating peers with the required objects). We demonstrate the potential of the P2P model as an infrastructure for a large-scale on-demand media streaming service through an extensive simulation study on large, Internet-like, topologies. Starting with a limited streaming capacity (hence, low cost), the simulation shows that the capacity is rapidly increased and many clients can be served even if they come according to different arrival patterns such as constant rate arrivals, flash crowd arrivals, and Poisson arrivals.

Original languageEnglish
Title of host publicationProceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems
PublisherIEEE Computer Society
Pages279-285
Number of pages7
Volume2003-January
ISBN (Print)0769519105
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event9th IEEE Workshop on Future Trends of Distributed Computing Systems, FTDCS 2003 - San Juan, Puerto Rico
Duration: 28 May 200330 May 2003

Other

Other9th IEEE Workshop on Future Trends of Distributed Computing Systems, FTDCS 2003
CountryPuerto Rico
CitySan Juan
Period28/5/0330/5/03

Fingerprint

Media streaming
Internet
Costs
Topology

Keywords

  • Costs
  • File servers
  • Large-scale systems
  • Network servers
  • Peer to peer computing
  • Scalability
  • Streaming media
  • Timing
  • Web and internet services
  • Web server

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

Hefeeda, M. M., & Bhargava, B. K. (2003). On-demand media streaming over the Internet. In Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems (Vol. 2003-January, pp. 279-285). [1204348] IEEE Computer Society. https://doi.org/10.1109/FTDCS.2003.1204348

On-demand media streaming over the Internet. / Hefeeda, M. M.; Bhargava, B. K.

Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems. Vol. 2003-January IEEE Computer Society, 2003. p. 279-285 1204348.

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

Hefeeda, MM & Bhargava, BK 2003, On-demand media streaming over the Internet. in Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems. vol. 2003-January, 1204348, IEEE Computer Society, pp. 279-285, 9th IEEE Workshop on Future Trends of Distributed Computing Systems, FTDCS 2003, San Juan, Puerto Rico, 28/5/03. https://doi.org/10.1109/FTDCS.2003.1204348
Hefeeda MM, Bhargava BK. On-demand media streaming over the Internet. In Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems. Vol. 2003-January. IEEE Computer Society. 2003. p. 279-285. 1204348 https://doi.org/10.1109/FTDCS.2003.1204348
Hefeeda, M. M. ; Bhargava, B. K. / On-demand media streaming over the Internet. Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems. Vol. 2003-January IEEE Computer Society, 2003. pp. 279-285
@inproceedings{beab1c559d9d424f914a06306550456e,
title = "On-demand media streaming over the Internet",
abstract = "We propose a new model for on-demand media streaming centered around the peer-to-peer (P2P) paradigm. The proposed P2P model can support a large number of clients with a low overall system cost. The P2P model allows for peers to share some of their resources with the system and in return, they get some incentives or rewards. We describe how to realize (or deploy) the proposed model. In addition, we present a new dispersion algorithm (for disseminating the media files into the system) and a searching algorithm (for locating peers with the required objects). We demonstrate the potential of the P2P model as an infrastructure for a large-scale on-demand media streaming service through an extensive simulation study on large, Internet-like, topologies. Starting with a limited streaming capacity (hence, low cost), the simulation shows that the capacity is rapidly increased and many clients can be served even if they come according to different arrival patterns such as constant rate arrivals, flash crowd arrivals, and Poisson arrivals.",
keywords = "Costs, File servers, Large-scale systems, Network servers, Peer to peer computing, Scalability, Streaming media, Timing, Web and internet services, Web server",
author = "Hefeeda, {M. M.} and Bhargava, {B. K.}",
year = "2003",
doi = "10.1109/FTDCS.2003.1204348",
language = "English",
isbn = "0769519105",
volume = "2003-January",
pages = "279--285",
booktitle = "Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - On-demand media streaming over the Internet

AU - Hefeeda, M. M.

AU - Bhargava, B. K.

PY - 2003

Y1 - 2003

N2 - We propose a new model for on-demand media streaming centered around the peer-to-peer (P2P) paradigm. The proposed P2P model can support a large number of clients with a low overall system cost. The P2P model allows for peers to share some of their resources with the system and in return, they get some incentives or rewards. We describe how to realize (or deploy) the proposed model. In addition, we present a new dispersion algorithm (for disseminating the media files into the system) and a searching algorithm (for locating peers with the required objects). We demonstrate the potential of the P2P model as an infrastructure for a large-scale on-demand media streaming service through an extensive simulation study on large, Internet-like, topologies. Starting with a limited streaming capacity (hence, low cost), the simulation shows that the capacity is rapidly increased and many clients can be served even if they come according to different arrival patterns such as constant rate arrivals, flash crowd arrivals, and Poisson arrivals.

AB - We propose a new model for on-demand media streaming centered around the peer-to-peer (P2P) paradigm. The proposed P2P model can support a large number of clients with a low overall system cost. The P2P model allows for peers to share some of their resources with the system and in return, they get some incentives or rewards. We describe how to realize (or deploy) the proposed model. In addition, we present a new dispersion algorithm (for disseminating the media files into the system) and a searching algorithm (for locating peers with the required objects). We demonstrate the potential of the P2P model as an infrastructure for a large-scale on-demand media streaming service through an extensive simulation study on large, Internet-like, topologies. Starting with a limited streaming capacity (hence, low cost), the simulation shows that the capacity is rapidly increased and many clients can be served even if they come according to different arrival patterns such as constant rate arrivals, flash crowd arrivals, and Poisson arrivals.

KW - Costs

KW - File servers

KW - Large-scale systems

KW - Network servers

KW - Peer to peer computing

KW - Scalability

KW - Streaming media

KW - Timing

KW - Web and internet services

KW - Web server

UR - http://www.scopus.com/inward/record.url?scp=84945192727&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84945192727&partnerID=8YFLogxK

U2 - 10.1109/FTDCS.2003.1204348

DO - 10.1109/FTDCS.2003.1204348

M3 - Conference contribution

SN - 0769519105

VL - 2003-January

SP - 279

EP - 285

BT - Proceedings of the IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems

PB - IEEE Computer Society

ER -