Abstract
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Arur, Raghu Rajendra; Basker, Nicholas; and Grover, Hasmit, "IDENTIFYING NETWORK FAULTS IN DATA CENTERS USING A COVARIANCE MATRIX", Technical Disclosure Commons, (January 22, 2019)
https://www.tdcommons.org/dpubs_series/1899