Analyzing IPTV set-top box crashes

Authors:
Han Hee Song;Zihui Ge;Ajay Mahimkar;Jia Wang;Jennifer Yates;Yin Zhang
Affiliations:
The University of Texas at Austin, Austin, TX, USA;AT&T Labs - Research, Florham Park, NJ, USA;AT&T Labs - Research, Florham Park, NJ, USA;AT&T Labs - Research, Florham Park, NJ, USA;AT&T Labs - Research, Florham Park, NJ, USA;The University of Texas at Austin, Austin, TX, USA
Venue:
Proceedings of the 2nd ACM SIGCOMM workshop on Home networks
Year:
2011

Citing 12
Cited 0

Shrink: a tool for failure diagnosis in IP networks

Proceedings of the 2005 ACM SIGCOMM workshop on Mining network data
IP fault localization via risk modeling

NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Correlating instrumentation data to system states: a building block for automated diagnosis and control

OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Towards highly reliable enterprise network services via inference of multi-level dependencies

Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
NetDiagnoser: troubleshooting network unreachabilities using end-to-end probes and routing data

CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
What's going on?: learning communication rules in edge networks

Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Answering what-if deployment and configuration questions with wise

Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Troubleshooting chronic conditions in large IP networks

CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
Towards automated performance diagnosis in a large IPTV network

Proceedings of the ACM SIGCOMM 2009 conference on Data communication
URCA: pulling out anomalies by their root causes

INFOCOM'10 Proceedings of the 29th conference on Information communications
ASTUTE: detecting a different class of traffic anomalies

Proceedings of the ACM SIGCOMM 2010 conference
Detecting the performance impact of upgrades in large operational networks

Proceedings of the ACM SIGCOMM 2010 conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recent advances in residential broadband access technologies have led to a wave of commercial IPTV deployments. As IPTV services are rolled out at scale, it is essential for IPTV systems to maintain ultra-high reliability and performance. A major issue that disrupts IPTV service is the crash of the set-top box (STB) software. The STB directly resides inside the consumer's home network and provides the essential interface to both the user and the network to deliver rich content that goes well beyond traditional TV. To understand the potential causes of STB crashes, we perform an indepth statistical analysis focused on the relationships between STB crashes, video stream content, and user activities. Our initial results suggest that (i) impaired video streams may cause STB crashes, and (ii) continuous STB usage may gradually degrade the STB health over time.