Title
Argus: End-to-end service anomaly detection and localization from an ISP's point of view
Abstract
Recent trends in the networked services industry (e.g., CDN, VPN, VoIP, IPTV) see Internet Service Providers (ISPs) leveraging their existing network connectivity to provide an end-to-end solution. Consequently, new opportunities are available to monitor and improve the end-to-end service quality by leveraging the information from inside the network. We propose a new approach to detect and localize end-to-end service quality issues in such ISP-managed networked services by utilizing traffic data passively monitored at the ISP side, the ISP network topology, routing tables and geographic information. This paper presents the design of a generic service quality monitoring system “Argus”. Argus has been successfully deployed in a tier-1 ISP to monitor millions of users of its CDN service and assist operators to detect and localize end-to-end service quality issues. This operational experience demonstrates that Argus is effective in accurate, quick detection and localization of important service quality issues.
Year
DOI
Venue
2012
10.1109/INFCOM.2012.6195694
INFOCOM
Keywords
Field
DocType
end-to-end service anomaly detection,geographic information,end-to-end service quality,network connectivity,isp-managed networked services,routing tables,tier-1 isp,internet service providers,computerised monitoring,computer network security,end-to-end service anomaly localization,isp network topology,telecommunication network topology,traffic data,argus,computer network performance evaluation,internet,service quality monitoring system,cdn service,telecommunication network routing,networked services industry,anomaly detection,routing,service quality,time series analysis,tier 1 isp,measurement,network topology,robustness
Service quality,Computer security,Computer science,End-to-end principle,Network security,Computer network,Network topology,IPTV,Routing table,The Internet,Voice over IP
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4673-0773-4
32
PageRank 
References 
Authors
1.07
5
8
Name
Order
Citations
PageRank
He Yan1724.56
Ashley Flavel2703.70
Zihui Ge384755.97
Alexandre Gerber41780107.04
Daniel Massey540835.55
Christos Papadopoulos61473153.67
Hiren Shah7321.07
Jennifer Yates879064.51