Methods and systems for optimizing the performance of software applications at runtime

A system for optimizing the performance of one or more software components, the system comprising:

• one or more processing units;
• and
• a processor readable memory, the memory containing one or more programming instructions to:
• identify at least two constituent software components for parallel execution, wherein the software components comprise a software application, a workflow, a process, or a software component implementing one or more discrete functionality;
• execute the identified software components;
• profile the performance of the one or more software components at an execution time, wherein profiling comprises gathering a set of data related to one or more performance characteristics of the one or more software components at runtime;
• create an optimization model with the set of data gathered from profiling the execution of the one or more software components;
• and
• mark at least two software components for execution in parallel in a subsequent execution on the basis of the optimization model.

A non-transitory computer readable storage medium having stored thereon computer executable instructions for performing a method of optimizing the performance of one or more software components at runtime, the method comprising:

• identifying at least two constituent software components for parallel execution, wherein the software components comprise a software application, a workflow, a process, or a software component implementing at least one discrete functionality;
• executing the identified software components;
• profiling the performance of the one or more software components at an execution time, wherein profiling comprises gathering a set of data related to one or more performance characteristics of the one or more software components at runtime, and wherein the set of data gathered by profiling comprises a processor utilization metric, a memory usage metric, a disk usage metric or a computational resource overhead involved in running components parallelly;
• creating an optimization model with the set of data gathered from profiling the execution of the one or more software components, wherein criteria involved in the design of the optimization model comprise resource availability or a cost-benefit evaluation associated with an overhead involved in the execution of a component in parallel with other identified components;
• and
• marking at least two software components for execution in parallel in a subsequent execution on the basis of the optimization model.