Node assessment in HCI environment
An information handling system may include at least one processor and a memory. The information handling system may be configured to assign a workload to a particular node selected from among a plurality of nodes of an information handling system cluster by: determining scores for each respective node of the plurality of nodes based on hardware metrics of the respective nodes; based on the determined scores, selecting a particular node having a highest score; and causing the workload to execute on the particular node.
1 . An information handling system comprising:
at least one processor; and
a memory;
wherein the information handling system is configured to assign a workload to a particular node selected from among a plurality of nodes of an information handling system cluster by:
filtering the plurality of nodes to remove any nodes that are determined to have insufficient resources available for the workload or that are in conflict with one or more user-specified rules;
determining scores for each respective node of the filtered plurality of nodes based on hardware metrics of the respective nodes, wherein the scores are determined based on a harmonic mean of a plurality of individual hardware metric scores;
based on the determined scores, selecting a particular node having a highest score; and
causing the workload to execute on the particular node.
2 . The information handling system of claim 1 , wherein the cluster is a hyper-converged infrastructure (HCI) cluster.
3 . The information handling system of claim 1 , wherein the particular node includes a local physical storage resource configured to store data associated with the workload.
4 . The information handling system of claim 1 , wherein the scores are further based on event logs of the respective nodes.
5 . The information handling system of claim 1 , wherein the scores are further based on configurable weights associated with the hardware metrics.
6 . A computer-implemented method for assigning a workload to a particular node selected from among a plurality of nodes of an information handling system cluster, the method comprising:
filtering the plurality of nodes to remove any nodes that are determined to have insufficient resources available for the workload or that are in conflict with one or more user-specified rules;
determining scores for each respective node of the filtered plurality of nodes based on hardware metrics of the respective nodes, wherein the scores are determined based on a harmonic mean of a plurality of individual hardware metric scores;
based on the determined scores, selecting a particular node having a highest score; and
causing the workload to execute on the particular node.
7 . The method of claim 6 , wherein the cluster is a hyper-converged infrastructure (HCI) cluster.
8 . The method of claim 6 , wherein the particular node includes a local physical storage resource configured to store data associated with the workload.
9 . The method of claim 6 , wherein the scores are further based on event logs of the respective nodes.
10 . The method of claim 6 , wherein the scores are further based on configurable weights associated with the hardware metrics.
11 . An article of manufacture comprising a non-transitory, computer-readable medium having computer-executable instructions thereon that are executable by a processor of an information handling system for assigning a workload to a particular node selected from among a plurality of nodes of an information handling system cluster by:
filtering the plurality of nodes to remove any nodes that are determined to have insufficient resources available for the workload or that are in conflict with one or more user-specified rules;
determining scores for each respective node of the filtered plurality of nodes based on hardware metrics of the respective nodes, wherein the scores are determined based on a harmonic mean of a plurality of individual hardware metric scores;
based on the determined scores, selecting a particular node having a highest score; and
causing the workload to execute on the particular node.
12 . The article of claim 11 , wherein the cluster is a hyper-converged infrastructure (HCI) cluster.
13 . The article of claim 11 , wherein the particular node includes a local physical storage resource configured to store data associated with the workload.
14 . The article of claim 11 , wherein the scores are further based on event logs of the respective nodes.
15 . The article of claim 11 , wherein the scores are further based on configurable weights associated with the hardware metrics.