Clusters-Based distributed streaming services with fault-tolerant schemes

Authors:
Xiaofei Liao;Hai Jin
Affiliations:
Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China;Cluster and Grid Computing Lab, Huazhong University of Science and Technology, Wuhan, China
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Year:
2004

Citing 7
Cited 0

Yima: A Second-Generation Continuous Media Server

Computer
Fault-Tolerant Multi-Server Video-on-Demand Service

IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Design and Analysis of a Fault-Tolerant Mechanism for a Server-Less Video-On-Demand System

ICPADS '02 Proceedings of the 9th International Conference on Parallel and Distributed Systems
On Providing Highly Available Fault-Tolerant Video-on-Demand Services

ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Efficient Failure Recovery in Multi-Disk Multimedia Servers

FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Fault Tolerant Video on Demand Services

ICDCS '99 Proceedings of the 19th IEEE International Conference on Distributed Computing Systems
A new cluster-based distributed video recorder server

ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03

Quantified Score

Hi-index	0.00

Visualization

Abstract

Distributed streaming servers based on clusters with multi-components have several failure points, which will destroy the systems or degrades the quality of services. How to provide reliable streaming services is a very important issue. Fault-tolerant schemes must be provided for video servers to improve system reliability and availability. This paper presents novel distributed media streaming services based on cluster architectures with fault-tolerant schemes, including video-on-demand services and video recording services. The new system eliminates three kinds of failure points and addresses the server and network failures, not only the disk or file failures. Experiment results have been proven that the system has better performance.