Determining an optimal computing environment for running an image based on performance of similar images

A system for determining an optimal computing environment for running an image, comprising:

• a bus;
• a processor coupled to the bus;
• and
• a memory medium coupled to the bus,
• the memory medium comprising instructions to:
• register a set of images with a registry service, each of the set of images running in a computing environment;
• measure an existing performance of a current image running in a current computing environment based on performance metrics weighted by a user, the performance metrics comprising at least one of processing speed, storage capacity, response time, and latency;
• identify at least one image, running in an alternate computing environment, similar to the current image from the set of images;
• receive, from a user, at least one rating based on user experience relating to actual performance of the at least one image;
• measure a potential performance of the at least one image as running in the alternate computing environment based on the performance metrics weighted by the user, the potential performance comprising a prediction of future performance of the at least one image based on the performance metrics weighted by the user and the at least one rating;
• compare the potential performance of the at least one image to the existing performance of the current image;
• and
• determine whether to move the current image from the current computing environment to the alternate computing environment based on the comparison;
• and
• the optimal computing environment being further determined based on a user profile associated with the existing image.

A computer program product for determining an optimal computing environment for running an image, the computer program product comprising a non-transitory computer readable storage medium, and program instructions stored on the non-transitory computer readable storage medium, to:

• register a set of images with a registry service, each of the set of images running in a computing environment;
• measure an existing performance of a current image running in a current computing environment based on performance metrics weighted by a user, the performance metrics comprising at least one of processing speed, storage capacity, response time, and latency;
• identify at least one image, running in an alternate computing environment, similar to the current image from the set of images;
• receive, from a user, at least one rating based on user experience relating to actual performance of the at least one image;
• measure a potential performance of the at least one image as running in the alternate computing environment based on the performance metrics weighted by the user, the potential performance comprising a prediction of future performance of the at least one image based on the performance metrics weighted by the user and the at least one rating;
• compare the potential performance of the at least one image to the existing performance of the current image;
• and
• determine whether to move the current image from the current computing environment to the alternate computing environment based on the comparison;
• and
• the optimal computing environment being further determined based on a user profile associated with the existing image.

A method for deploying a system for determining an optimal computing environment for running an image, comprising:

• register, via a computer infrastructure, a set of images with a registry service, each of the set of images running in a computing environment;
• measure, via the computer infrastructure, an existing performance of a current image running in a current computing environment based on performance metrics weighted by a user, the performance metrics comprising at least one of processing speed, storage capacity, response time, and latency;
• identify, via the computer infrastructure, at least one image, running in an alternate computing environment, similar to the current image from the set of images;
• receive, from a user, at least one rating based on user experience relating to actual performance of the at least one image;
• measure, via the computer infrastructure, a potential performance of the at least one image as running in the alternate computing environment based on the performance metrics weighted by the user, the potential performance comprising a prediction of future performance of the at least one image based on the performance metrics weighted by the user and the at least one rating;
• compare, via the computer infrastructure, the potential performance of the at least one image to the existing performance of the current image;
• and
• determine, via the computer infrastructure, whether to move the current image from the current computing environment to the alternate computing environment based on the comparing;
• and
• the determining being further based on a user profile associated with the existing image.