Near-Optimal Mapping of Network States using Probes Read More: https://epubs.siam.org/doi/abs/10.1137/1.9781611975321.12
Abstract
In many applications, such as the Internet and infrastructure networks, nodes fail or get congested dynamically. We study the problem of inferring all the failed nodes, when only a sample of the failures is known, and there exist correlations between node failures/congestion in networks. We formalize this as the GraphStateInf problem, using the Minimum Description Length (MDL) principle. We propose the GraphMap algorithm for minimizing the MDL cost, and show that it gives an additive approximation, relative to the optimal. We evaluate our methods on synthetic and real datasets, which includes one from WAZE which gives traffic incident reports for the city of Boston. We find that our method gives promising results in recovering the missing failures.