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Argus: End-to-End Service Anomaly Detection and Localization From an ISP�s Point of View
He Yan, Ashley Flavel, Zihui Ge, Alexandre Gerber, Dan Massey, Christos Papadopoulos, Hiren Shah, Jennifer Yates
Infocom 2012,
2011.
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IEEE Copyright
This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in Infocom 2012. , 2011-03-25
{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.}