Cloud optimization using workload analysis

A data processing system for cloud optimization using workload analysis, the data processing system comprising:

• a storage device, wherein the storage device stores computer usable program code;
• and
• a processor, wherein the processor executes the computer usable program code, and wherein the computer usable program code comprises:
• computer usable code for identifying, using a processor and a memory, an architecture of a workload received for execution in a cloud computing environment, the cloud computing environment including a set of cloud computing resources;
• computer usable code for identifying and marking a section of the workload for static analysis;
• computer usable code for performing static analysis on the section to determine a characteristic of instructions in the workload, wherein the characteristic of the instructions is discernible from the workload without executing the workload, wherein the characteristic of the instructions is indicative of a certain type of resource that should be used for executing the instructions, wherein the characteristic of the instructions in the workload comprises one of (i) an instruction set architecture (ISA) used in the workload, (ii) a level of complexity of branch prediction in the instructions in the workload, (iii) a type of the instructions in a binary code of the workload, (iv) an indication of cache intensive nature of the workload, and (v) an indication of floating point intensive operations being present in the workload;
• computer usable code for selecting a subset of the set of cloud computing resources, such that a cloud computing resource in the subset is available for allocating to the workload and has a characteristic that matches the characteristic of the instructions in the workload as determined from the static analysis;
• and
• computer usable code for suggesting the subset of cloud computing resources to a job scheduler for scheduling the workload for execution.