It may be difficult to identify root causes of protocol failures or degradations in application traffic performance due to errors. Embodiments presented herein identify the exact diagnostics needed to perform a root cause analysis. In particular, a covariance clustering methodology is used to generate correlated errors, which, when passed through a partial order set-based rule engine, are used to determine the root cause of a network fault due to protocol errors.
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Arur, Raghu Rajendra; Basker, Nicholas; and Grover, Hasmit, "IDENTIFYING NETWORK FAULTS IN DATA CENTERS USING A COVARIANCE MATRIX", Technical Disclosure Commons, (January 22, 2019)