Data privacy workload distribution in a multi-tenant hybrid cloud computing environment

A computer system for routing a service request to an execution environment, the system comprising:

• a processor and a memory, communicatively coupled to said processor, wherein said memory stores program code portions that when executed, enable said processor, to:
• interact with a plurality of execution environments, wherein in each execution environment executable services are deployable;
• interact with a service registry which maintains a list of predefined trust level classes, and for each trust level class a list of trusted execution environments out of the plurality of execution environments;
• receive, using the service registry, a service routing request;
• determine a required trust level class for a service relating to the service routing request by using a trained machine-learning system for outputting a trust level class when receiving service context data of the service relating to the service routing request as input;
• determine, using the service registry, a set of execution environments matching the output trust level class;
• select, using the service registry, one execution of the determined set of execution environments;
• and
• route, by the service registry, the routing to the selected one of the execution environments for execution.

A computer program product for routing a service request to an execution environment, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions being executable by one or more computing systems or controllers to cause the one or more computing systems to:

• interact with a plurality of execution environments, wherein in each execution environment executable services are deployable;
• interact with a service registry which maintains a list of predefined trust level classes, and for each trust level class a list of trusted execution environments out of the plurality of execution environments;
• receive, using the service registry, a service routing request;
• determine a required trust level class for a service relating to the service routing request by using a trained machine-learning system for outputting a trust level class when receiving service context data of the service relating to the service routing request as input;
• determine, using the service registry, a set of execution environments matching the output trust level class;
• select, using the service registry, one execution of the determined set of execution environments;
• and
• route, by the service registry, the service request to the selected one of the execution environments for execution.