An Online Fault Management Method for Live Media Applications

Author

An, Yuyan ; Zhao, Yuhui

Author_Institution

Hebei Vocational Coll. of Foreign Lauguages, Qinhuangdao, China

fYear

2011

Firstpage

1

Lastpage

4

Abstract

It is an important task to provide the QoS-insured live media application in dealing with the fault effectively. The paper suggests a classification method to perform online fault management in the Live Media Service Grid (LMSN), which adopts online fault management, and can achieve low-overhead online learning, and adaptively adjust measurement sampling rates based on the states of monitored components, and maintain a limited size of historical training data to achieve efficient real-time fault control. The method can achieve more efficient fault management than conventional reactive and proactive approaches.

Keywords

grid computing; learning (artificial intelligence); media streaming; pattern classification; quality of service; telecommunication network management; telecommunication network reliability; QoS-insured live media application; live media service grid; low-overhead online learning; measurement sampling rates; media streaming; online fault management classification method; online fault management method; real-time fault control; Adaptation models; Decision trees; Measurement; Media; Monitoring; Software; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on

Conference_Location

Wuhan

ISSN

2161-9646

Print_ISBN

978-1-4244-6250-6

Type

conf

DOI

10.1109/wicom.2011.6040138

Filename

6040138