Suspicious node detection and recovery in MapReduce computing
AssigneeInternational Business Machines Corporation
InventorsBryan E. Aupperle, David L. Kaminsky
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AssigneeInternational Business Machines Corporation
InventorsBryan E. Aupperle, David L. Kaminsky
Estimating the term…
Embodiments of the present invention address deficiencies of the art in respect to distributed computing for large data sets on clusters of computers and provide a novel and non-obvious method, system and computer program product for detecting and correcting malicious nodes in a cloud computing environment (e.g., MapReduce computing). In one embodiment of the invention, a computer-implemented method for detecting and correcting malicious nodes in a cloud computing environment can include selecting a task to dispatch to a first worker node, setting a suspicion index threshold for the selected task, determining a suspicion index for the selected task, comparing the suspicion index to the suspicion index threshold and receiving a result from a first worker node. The method further can include applying a recovery action when the suspicion index exceeds the selected suspicion index threshold.
A computer-implemented method for detecting and correcting malicious nodes in a cloud computing environment, the method comprising:
A computer-implemented method for detecting and correcting malicious nodes in a cloud computing environment, the method comprising:
A computer-implemented method for detecting and correcting malicious nodes in a cloud computing environment, the method comprising:
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