Container structure

A system, comprising:

• a processor;
• a computer-readable memory in circuit communication with the processor;
• and
• a computer-readable storage medium in circuit communication with the processor;
• wherein the processor executes program instructions stored on the computer-readable storage medium via the computer-readable memory and thereby:
• in response to an input of attributes of a new container that comprises application, workload and usage characteristics, compares the input to attributes of each of plurality of existing containers within a container model as a function of a weighted Jaccard co-efficient distance matrix;
• identifies a neighbor subset of the model containers that each have attributes that are nearest to the input attributes, relative to remaining others of the model containers;
• selects, as a nearest container, a container of the neighbor subset that has closest matching statistical properties to statistical properties calculated for the input attributes, relative to remaining others of the neighbor subset;
• and
• generates a sizing recommendation for the new container to meet future utilization needs predicted as a function of usage pattern data of the nearest container.

A computer program product for a virtual machine structure, the computer program product comprising:

• a computer-readable storage medium having computer-readable program code embodied therewith, wherein the computer-readable storage medium is not a transitory signal per se, the computer-readable program code comprising instructions for execution by a processor that cause the processor to:
• in response to an input of attributes of a new container that comprises application, workload and usage characteristics, compare the input to attributes of each of plurality of existing containers within a container model as a function of a weighted Jaccard co-efficient distance matrix;
• identify a neighbor subset of the model containers that each have attributes that are nearest to the input attributes, relative to remaining others of the model containers;
• select, as a nearest container, a container of the neighbor subset that has closest matching statistical properties to statistical properties calculated for the input attributes, relative to remaining others of the neighbor subset;
• and
• generate a sizing recommendation for the new container to meet future utilization needs predicted as a function of usage pattern data of the nearest container.