Towards highly reliable enterprise network services via inference of multi-level dependencies

By Paramvir Victor Bahl, Ranveer Chandra, Albert G. Greenberg, Srikanth Kandula, David A. Maltz, Ming Zhang. Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2007

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Behavior of Machine Learning Algorithms in Adversarial Environments (2010, methodology): “…proposed for tasks such as performance modeling [e.g., Bod́ık et al., 2010, 2009, Xu et al., 2004], enterprise-level network fault diagnosis [e.g., Bahl et al., 2007, Cheng et al., 2007, Kandula et al., 2008], and spam detection [e.g., Meyer and Whateley, 2004, Segal et al., 2004] but generally…”
Dapper, a Large-Scale Distributed Systems Tracing Infrastructure (2010, background): “Black-box schemes [1, 15, 2] assume there is no additional information other than the message record described above, and use statistical regression techniques to infer that association.”