Inferring the Origin of Routing Changes Based on Preferred Path Changes

2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

et al. 2012

Root cause analysis of BGP updates is the key to debug and troubleshoot BGP routing problems. However, accurately inferring what is the cause of routing instability and where it originate is very hard. In this paper, we present a novel approach to locate the origin of routing instability by analyzing the relationship of the closed loops formed by intersecting the all the paths in path exploration and the length variation of the paths received in a single vantage point. Then we demonstrate our approach using BGP data obtained by simulations and show that the method is quite effective. Once there is path exploration when a routing event triggering BGP updates, this approach can precisely identify whether the event is a link failure and pinpoint the right place where the event exactly happens if so. Otherwise the approach can deduce the candidate set of locations to a small size.

Section: Problem Statementmentioning

confidence: 99%

“…Although many works [2][3][4][5][6][7][8][9][10][11][12][13][14] have aimed to track down the original causes of routing instability from the dimensions of time, view and prefix, the inferring accuracy is very low. The main reason lies in that there is no effect method to characterize the instability triggered by different routing events.…”

Section: Introductionmentioning

confidence: 99%

Locating Routing Instability Based on Path Exploration

2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing

et al. 2012

“…Some works [10] and [11] inferred the origins of routing changes using link weights, through which the events that only generate a small number of updates can not be identified. Complementarily, work [12] proposed to deal with events based on preferred path changes. Since the AS responsible for BGP routing change may not appear in the old or new AS path [2], the origin may not appear in the preferred path.…”

Section: Introductionmentioning

confidence: 99%

Failure Microscope: Precisely Diagnosing Routing Instability

IEICE Trans. Inf. & Syst.

et al. 2013

Root cause analysis of BGP updates is the key to debug and troubleshoot BGP routing problems. However, it is a challenge to precisely diagnose the cause and the origin of routing instability. In this paper, we are the first to distinguish link failure events from policy change events based on BGP updates from single vantage points by analyzing the relationship of the closed loops formed through intersecting all the transient paths during instability and the length variation of the stable paths after instability. Once link failure events are recognized, their origins are precisely inferred with 100% accuracy. Through simulation, our method is effective to distinguish link failure events from link restoration events and policy related events, and reduce the size of candidate set of origins.

“…A lot of previous works have done to pinpoint the BGP routing instability [2][3][4][5][6][7][8][9][10][11][12][13][14] in the last few years. All of these works are under the assumption that each of instability is triggered by only one event.…”

Section: Introductionmentioning

confidence: 99%

Locating Internet Instability under Simultaneous Events

et al. 2011

AEF

Abstract. Locating internet instability is very important to diagnose internet problems. The existing methods are under the assumption that instability is triggered by only one event, and these methods are not applicable for the scenario of simultaneous events. This paper presents the first study on characterizing the simultaneous events, finding out where the multiple events happened could be visible and how many events are simultaneously happened. Furthermore, a novel scheme is proposed to accurately pinpoint the origins of instability under simultaneous events by exploring cycles, which is theoretically proved to be feasible.