Orchestrating deterministic workload execution

A computer program comprising non-transitory machine-readable instructions that, when executed by one or more computers or compute instances, cause the one or more computers or compute instances to perform processes comprising:

• determining a consumption of at least one computing resource and a consumption of at least one communications resource that result from executing a given workload or a part thereof, wherein the computing and communications consumptions are specifically determined for a cycle of a cyclically executed part of the workload, and determining, by analysis of machine code of the workload and/or of by analysis of the behavior of the workload, at least one cyclically executed part of the workload;
• determining at least one performance requirement with respect to execution of the workload or part thereof that must be met to fulfill a given set of requirements that relate to timing, synchronicity, redundancy, and availability of executing the given workload or part thereof based on the determined consumptions, wherein the redundancy comprises physical redundancy between different compute instances drawn from a pool of anonymous spare resources, and specifying that workloads are to be distributed across at least two different physical computing platforms;
• negotiating, with a management entity of the computing platform, execution of the workload or part thereof on the computing platform according to the at least one performance requirement, wherein negotiating comprises translating of the at least one performance requirement into a set of requirements for resources of the computing platform, wherein the set of requirements comprises configuration parameters for the resources;
• wherein the negotiating comprises:
• grouping computation and communication related instructions of the workload or part thereof that have no mutual dependencies into one or more bound group;
• and requesting, from the computing platform, execution of each bound group with an upper bound for execution time and latency;
• executing, by the computing platform, the workload or part thereof based on the at least one performance requirement.