“I Can’t Get No Satisfaction”: Helping Autonomous Systems Identify Their Unsatisfied Interdomain Interests


Given the distributed and business-driven nature of the.Net, economic interests of autonomous systems (ASes) could be incompatible. Previous works studied specific effects of incompatible interests, especially BGP policy conflicts leading to routing and forwarding anomalies. During this paper, we have a tendency to specialise in the consequences of incompatible interests that don't trigger such anomalies. We have a tendency to take the angle of a single AS: we have a tendency to show that incompatible interests will have a tangible impact on its business and provide a classification of its unhappy interests. Since incompatible interests can't be solved automatically, our effort is directed to support network managers in their business choices. Hence, we describe algorithms to identify and assess their impact, in addition to a prototype of a warning system aimed at signaling the foremost relevant unsatisfied interests. We evaluate our prototype on real data from 2 operational networks. In addition, to illustrate the potential of our system, our evaluation shows that unsatisfied interest are comparatively frequent and likely affect a important quantity of traffic in apply.

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