Data Management

Shedding Light on Enterprise Network Failures Using Spotlight

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Executive Summary

Fault localization in enterprise networks is extremely challenging. A recent approach called Sherlock makes some headway into this problem by using an inference algorithm over a multi-tier probabilistic dependency graph that relates fault symptoms with possible root causes (e.g., routers, servers). A key limitation of Sherlock is its scalability because of the use of complicated inference algorithms based on Bayesian networks. The authors present a fault localization system called Spotlight that essentially uses two basic ideas. First, it compresses a multi-tier dependency graph into a bipartite graph with direct probabilistic edges between root causes and symptoms. Second, it runs a novel weighted greedy minimum set cover algorithm to provide fast inference.

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