Paper Info
Title
Q-score: proactive service quality assessment in a large IPTV system
Abstract
In large-scale IPTV systems, it is essential to maintain high service quality while providing a wider variety of service features than typical traditional TV. Thus service quality assessment systems are of paramount importance as they monitor the user-perceived service quality and alert when issues occurs. For IPTV systems, however, there is no simple metric to represent user-perceived service quality and Quality of Experience (QoE). Moreover, there is only limited user feedback, often in the form of noisy and delayed customer calls. Therefore, we aim to approximate the QoE through a selected set of performance indicators in a proactive (i.e., detect issues before customers reports to call centers) and scalable fashion. In this paper, we present a service quality assessment framework, Q-score, which accurately learns a small set of performance indicators most relevant to user-perceived service quality, and proactively infers service quality in a single score. We evaluate Q-score using network data collected from a commercial IPTV service provider and show that Q-score is able to predict 60% of the service problems that are reported by customers with 0.1% false positives. Through Q-score, we have (i) gained insight into various types of service problems causing user dissatisfaction, including why users tend to react promptly to sound issues while late to video issues; (ii) identified and quantified the opportunity to proactively detect the service quality degradation of individual customers before severe performance impact occurs; and (iii) observed possibility to allocate customer care workforce to potentially troubling service areas before issues break out.
Year
DOI
Venue
2011
10.1145/2068816.2068836
Internet Measurement Conference
Keywords
Field
DocType
service problem,large iptv system,service quality degradation,service feature,proactively infers service quality,high service quality,commercial iptv service provider,service quality assessment framework,proactive service quality assessment,user-perceived service quality,troubling service area,service quality assessment system,false positive,video,performance indicator,assessment,service provider,service,type of service,service quality,data collection,analysis
Service level objective,Service quality,Computer science,Computer network,Service guarantee,Differentiated service,Service provider,Service level requirement,Service delivery framework,Customer Service Assurance
Conference
Citations 
PageRank 
References 
15
1.27
20
Authors
8
Name
Order
Citations
PageRank
Han Hee Song147023.34
Zihui Ge284755.97
Ajay Mahimkar320617.45
jia wang476158.42
Jennifer Yates579064.51
Yin Zhang63492281.04
Andrea Basso7392.68
Min Chen82369142.44