Energy-Efficient Function Invocation Scheduling for Edge FaaS Platforms

Function-as-a-Service (FaaS) is a serverless computing model that enables applications to be composed of self-contained functions triggered by events. The edge-cloud con-tinuum extends this paradigm by allowing function deployment closer to users and loT devices, reducing communication latency. However, large-scale FaaS deployment at the edge demands energy-efficient resource management to ensure cost reduction and sustainability. To address this challenge, we present <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$E^{2}FIS$</tex>: Energy-Efficient Function Invocation Scheduling, a framework that optimizes resource management and minimizes energy consumption in edge FaaS platforms. <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$E^{2}FIS$</tex> formulates function scheduling as a Mixed Integer Linear Programming (MILP) problem, minimizing energy consumption by consolidating work-loads while ensuring execution deadlines are met. Through simu-lations with real-world traces and experiments on the Serverledge FaaS platform, <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$E^{2}FIS$</tex> demonstrates to outperform the Earliest Deadline First (EDF) baseline, reducing energy consumption up to 92 % while maintaining timely function execution.