Abstract
We present a proxy-assisted video delivery architecture that can simultaneously reduce the resources requirements at the central server and the service latency experienced by clients (i.e., end users). Under the proposed video delivery architecture, we develop and analyze two novel proxy-assisted video streaming techniques for on-demand delivery of video objects to a large number of clients. By taking advantage of the resources available at the proxy servers, these techniques not only significantly reduce the central server and network resource requirements, but are also capable of providing near-instantaneous service to a large number of clients. We optimize the performance of our video streaming architecture by carefully selecting video delivery techniques for videos of various popularity and intelligently allocating resources between proxy servers and the central server. Through empirical studies, we demonstrate the efficacy of the proposed proxy-assisted video streaming techniques.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 884-894 |
| Number of pages | 11 |
| Journal | IEEE/ACM Transactions on Networking |
| Volume | 11 |
| Issue number | 6 |
| DOIs | |
| State | Published - Dec 2003 |
Bibliographical note
Funding Information:Dr. Gao is a principal investigator of a number of the National Science Foundation grants, including an NSF CAREER award. She has been a member of the ACM since 1996, and she is an Alfred Sloan fellow.
Funding Information:
Manuscript received March 7, 2002; revised April 30, 2002; approved by IEEE/ACM TRANSACTIONS ON NETWORKING Editor M. Ammar. The work of L. Gao was supported in part by the National Science Foundation under Grant ANI-9977555 and NSF CAREER Award Grant ANI-9875513. The work of Z.-L. Zhang was supported in part by the National Science Foundation under NSF CAREER Award Grant NCR-9734428 and NSF Grant ANI-9903228. The work of D. Towsley was supported in part by the National Science Foundation under Grant ANI-9805185.