System and methods for optimized execution latency for serverless directed acyclic graphs

A system, comprising:

• A processor, the processor configured to
• receive a directed acyclic graphic (DAG) for an application, the DAG comprising a plurality of stages arranged in a series, each stage comprising at least one function;
• profile the DAG with a plurality of computer resource allocations to generate an end-to-end (E2E) latency model;
• generate, based on the E2E latency model, an execution plan comprising optimized computer resource allocations and timing information, the optimized computer resource allocations associated with functions in the DAG and the timing information associated with the stages in the DAG;
• and
• cause an FaaS infrastructure to:
• execute a function in a first stage of the DAG model on a first virtual machine, the first virtual machine having a computer resource allocation based on the execution plan;
• initialize, a time determined specified by the execution plan, a second virtual machine for a function in a second stage in the DAG model, the second virtual machine having computer resources allocated according to one of the optimized computer resource allocations;
• and
• execute the function in the second stage on the second virtual machine after completion of the function in the first stage.