Computer-based provisioning of cloud resources

A computer system for provisioning cloud resources, the computer system comprising:

• one or more computer processors;
• one or more computer readable storage devices;
• program instructions stored on the one or more computer readable storage devices for execution by at least one of the one or more computer processors, the stored program instructions comprising:
• program instructions to receive a set of potential cloud resource providers;
• program instructions to predict a performance for a distributed workload on each potential provider of the set according to a machine learning model;
• program instructions to inject fault into the set of potential cloud resource providers, wherein the fault is utilized to create a system intervention, and wherein the fault ensures that the system intervention is carried out on a network in predetermined system, and wherein the fault is injected to mimic the different cloud provider characteristics, wherein a system-wide intervention alleviates the need to execute the workload on each cloud provider with different fault conditions;
• program instructions to measure an impact of the injected fault upon system performance;
• and
• program instructions to provision the distributed workload among the potential cloud resource providers according to dynamic conditions output by the set of potential cloud resources based on the measured impact of the injected fault.

A computer program product for implementing additive manufacturing, the computer program product comprising:

• one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the stored program instructions comprising:
• program instructions to receive a set of potential cloud resource providers;
• program instructions to predict a performance for a distributed workload on each potential provider of the set according to a machine learning model;
• program instructions to inject fault into the set of potential cloud resource providers, wherein the fault is utilized to create a system intervention, and wherein the fault ensures that the system intervention is carried out on a network in predetermined system, and wherein the fault is injected to mimic the different cloud provider characteristics, wherein a system-wide intervention alleviates the need to execute the workload on each cloud provider with different fault conditions;
• program instructions to measure an impact of the injected fault upon system performance;
• and
• program instructions to provision the distributed workload among the potential cloud resource providers according to dynamic conditions output by the set of potential cloud resources based on the measured impact of the injected fault.