Detection of data flow bottlenecks and disruptions based on operator timing profiles in a parallel processing environment
Data flow disruptions over a series of data processing operators can be detected by a computer system that generates a profile for data flow at an operator. The profile can include data input, processing, and output wait times. Using the profile, the system can detect potential flow disruptions. If the potential disruption satisfies a rule, it is considered a data flow disruption and a recommendation associated with the satisfied rule is identified. The recommendation and the operator identity is displayed.
International Business Machines Corporation
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Shyam R. Eric A. Yong Lawrence A. Dong J. Xiaoyan Brian K.
Mudambi Jacobson Li Greene Wei Pu Caufield