DocumentCode :
611081
Title :
SHStream: Self-Healing Framework for HTTP Video-Streaming
Author :
Cunha, C.A. ; Moura e Silva, Luis
fYear :
2013
fDate :
13-16 May 2013
Firstpage :
514
Lastpage :
521
Abstract :
HTTP video-streaming is leading delivery of video content over the Internet. This phenomenon is explained by the ubiquity of web browsers, the permeability of HTTP traffic and the recent video technologies around HTML5. However, the inclusion of multimedia requests imposes new requirements on web servers due to responses with life spans that can reach dozens of minutes and timing requirements for data fragments transmitted during the response period. Consequently, web-servers require real-time performance control to avoid playback outages caused by overloading and performance anomalies. We present SHStream, a self-healing framework for web servers delivering video-streaming content that provides (1) load admittance to avoid server overloading, (2) prediction of performance anomalies using online data stream learning algorithms, (3) continuous evaluation and selection of the best algorithm for prediction, and (4) proactive recovery by migrating the server to other hosts using container-based virtualization techniques. Evaluation of our framework using several variants of Hoeffding trees and ensemble algorithms showed that with a small number of learning instances, it is possible to achieve approximately 98% of recall and 99% of precision for failure predictions. Additionally, proactive fail over can be performed in less than 1 second.
Keywords :
data communication; file servers; hypermedia markup languages; multimedia communication; telecommunication traffic; video streaming; HTML5; HTTP traffic; HTTP video-streaming; Hoeffding trees; SHStream; container-based virtualization techniques; data fragments; ensemble algorithms; failure predictions; load admitance; multimedia requests; online data stream learning algorithms; playback outages; real-time performance control; self-healing framework; video technologies; web browsers; web servers; Bit rate; Prediction algorithms; Predictive models; Streaming media; Web servers; Dependability; Performance Anomalies; Video-streaming;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
Conference_Location :
Delft
Print_ISBN :
978-1-4673-6465-2
Type :
conf
DOI :
10.1109/CCGrid.2013.87
Filename :
6546133
Link To Document :
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