Cognitive scheduler for Kubernetes

Embodiments are directed to deploying a workload on the best/highest performance node. Nodes configured to accommodate a request for a workload are selected. Information is collected on each of the selected nodes and the workload. Predicted response times expected for the workload running on each of...

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Bibliographische Detailangaben
Hauptverfasser: Li, Lei, Wang, Yuan Yuan, Huo, Qi Feng, Liu, Da Li, Liu, Yan Song
Format: Patent
Sprache:eng
Schlagworte:
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Beschreibung
Zusammenfassung:Embodiments are directed to deploying a workload on the best/highest performance node. Nodes configured to accommodate a request for a workload are selected. Information is collected on each of the selected nodes and the workload. Predicted response times expected for the workload running on each of the selected nodes are determined. The workload is deployed on a node of the selected nodes, the node having a corresponding predicted response time for the workload, the workload being deployed on the node based at least in part on the corresponding predicted response time.