NSDI '08 – Abstract
Pp. 219–232 of the Proceedings
Effective Diagnosis of Routing Disruptions from End Systems
Ying Zhang and Z. Morley Mao, University of Michigan; Ming Zhang, Microsoft Research
Abstract
Internet routing events are known to introduce severe disruption to
applications. So far effective diagnosis of routing events
has relied on proprietary ISP data feeds, resulting in limited
ISP-centric views not easily accessible by customers or other ISPs.
In this work, we propose a novel approach to diagnosing significant
routing events associated with any large networks from the perspective
of end systems. Our approach is based on scalable, collaborative
probing launched from end systems and does not require proprietary
data from ISPs. Using a greedy scheme for event correlation and
cause inference, we can diagnose both interdomain and intradomain
routing events. Unlike existing methods based on passive route
monitoring, our approach can also measure the impact of routing events
on end-to-end network performance. We demonstrate the effectiveness of
our approach by studying five large ISPs over four
months. We validate its accuracy by comparing with the existing
ISP-centric method and also with events reported on NANOG mailing
lists. Our work is the first to scalably and accurately diagnose
routing events associated with large networks entirely from end
systems.
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