Multi-phase cloud service node error prediction based on minimization function with cost ratio and false positive detection

A method for predicting computing node failure in a cloud computing platform, the method comprising:

• obtaining a set of spatial metrics and a set of temporal metrics for computing node devices in the cloud computing platform, the set of spatial metrics comprising spatial signals from hardware and software components shared by the computing node devices, and the set of temporal metrics comprising temporal signals from hardware and software components for each computing node device of the computing node devices;
• evaluating the computing node devices using a spatial machine learning model and the set of spatial metrics and using a temporal machine learning model and the set of temporal metrics to create a spatial output and a temporal output for each computing node device of the computing node devices;
• determining one or more potentially faulty computing node devices based on an evaluation of the spatial output and the temporal output using a ranking model, wherein the one or more potentially faulty computing node devices is a subset of the computing node devices;
• identifying one or more migration source computing node devices from the one or more potentially faulty computing node devices, wherein a number of computing node devices included in the one or more migration source computing node devices are determined using a threshold calculated by applying a minimization function to a cost ratio and a predicted number of false positive detections included in the one or more potentially faulty computing node devices and a predicted number of false negative detections excluded from the one or more potentially faulty computing node devices, the cost ratio representing a ratio between a historical cost of false positive detection and a historical cost of false negative detection;
• identifying one or more migration target computing node devices from one or more potentially healthy computing node devices;
• and
• migrating a virtual machine (VM) from a faulty computing node device of the one or more migration source computing node devices to a healthy computing node device of the one or more migration target computing node devices.

At least one non-transitory machine-readable medium comprising instructions for predicting computing node failure in a cloud computing platform that, when executed by at least one processor, cause the at least one processor to perform operations to:

• obtain a set of spatial metrics and a set of temporal metrics for computing node devices in the cloud computing platform, the set of spatial metrics comprising spatial signals from hardware and software components shared by the computing node devices, and the set of temporal metrics comprising temporal signals from hardware and software components for each computing node device of the computing node devices;
• evaluate the computing node devices using a spatial machine learning model and the set of spatial metrics and using a temporal machine learning model and the set of temporal metrics to create a spatial output and a temporal output for each computing node device of the computing node devices;
• determine one or more potentially faulty computing node devices based on an evaluation of the spatial output and the temporal output using a ranking model, wherein the one or more potentially faulty computing node devices is a subset of the computing node devices;
• identify one or more migration source computing node devices from the one or more potentially faulty computing node devices, wherein a number of computing node devices included in the one or more migration source computing node devices are determined using a threshold calculated by applying a minimization function to a cost ratio and a predicted number of false positive detections included in the one or more potentially faulty computing node devices and a predicted number of false negative detections excluded from the one or more potentially faulty computing node devices, the cost ratio representing a ratio between a historical cost of false positive detection and a historical cost of false negative detection;
• identify one or more migration target computing node devices from one or more potentially healthy computing node devices;
• and
• migrate a virtual machine (VM) from a faulty computing node device of the one or more migration source computing node devices to a healthy computing node device of the one or more migration target computing node devices.