Computing node failure and health prediction for cloud-based data center

A computer-implemented method associated with a cloud computing environment having a plurality of computing nodes, comprising:

• accessing, by a node failure prediction algorithm creation platform, a node historical state data store containing historical node state data, the historical node state data including a first set of time-series data that represents an attribute of a node during a period of time prior to a node failure, and a first set of non-time-series data that represents a second attribute of a node during a period of time prior to a node failure;
• generating, by the node failure prediction algorithm creation platform, a machine-learned node failure prediction algorithm, where generation of the node failure prediction algorithm comprises conversion of the first set of time-series data into a second set of non-time-series data, and combination of the second set of non-time-series data with the first set of non-time-series data;
• accessing, by a virtual machine assignment platform, an active node data store containing information about the plurality of computing nodes in the cloud computing environment, including, for each node, a second set of time-series data that represents an attribute of that node over time, a third set of non-time-series data generated based on the second set of time-series data, a fourth set of non-time-series data that represents a second attribute of a node during a period of time prior to a node failure, and a fifth set of non-time-series data generated based on the third set of non-time-series data and the fourth set of non-time-series data;
• executing, by the virtual machine assignment platform, the node failure prediction algorithm to determine a node failure probability score for each computing node based on the fifth set of non-time-series data in the active node data store;
• creating, by the virtual machine assignment platform, a ranked list of two or more of the plurality of computing nodes based on the determined node failure probability scores;
• selecting, by the virtual machine assignment platform, one of the two or more of the plurality of computing nodes based at least in part on the ranked list;
• and
• assigning, by the virtual machine assignment platform, a virtual machine to the selected computing node.

A non-transient, computer-readable medium storing instructions to be executed by a processor to perform a method associated with a cloud computing environment having a plurality of computing nodes, the method comprising:

• accessing, by a node failure prediction algorithm creation platform, a node historical state data store containing historical node state data, the historical node state data including a first set of time-series data that represents an attribute of a node during a period of time prior to a node failure, and a first set of non-time-series data that represents a second attribute of a node during a period of time prior to a node failure;
• generating, by the node failure prediction algorithm creation platform, a machine-learned node failure prediction algorithm, where generation of the node failure prediction algorithm comprises conversion of the first set of time-series data into a second set of non-time-series data, and combination of the second set of non-time-series data with the first set of non-time-series data;
• accessing, by a virtual machine assignment platform, an active node data store containing information about the plurality of computing nodes in the cloud computing environment, including, for each node, a second set of time-series data that represents an attribute of that node over time, a third set of non-time-series data generated based on the second set of time-series data, a fourth set of non-time-series data that represents a second attribute of a node during a period of time prior to a node failure, and a fifth set of non-time-series data generated based on the third set of non-time-series data and the fourth set of non-time-series data;
• executing, by the virtual machine assignment platform, the node failure prediction algorithm to calculate a node failure probability score for each computing node based on the fifth set of non-time-series data in the active node data store;
• creating, by the virtual machine assignment platform, a ranked list of two or more of the plurality of computing nodes based on the determined node failure probability scores;
• selecting, by the virtual machine assignment platform, one of the two or more of the plurality of computing nodes based at least in part on the ranked list;
• and
• assigning, by the virtual machine assignment platform, a virtual machine to the selected computing node.