3GC: A Deadline-Aware and Energy-Efficient Resource Allocation Scheme for Serverless Edge Computing

To align with sustainability goals, such as Net Zero Emissions, serverless providers must incorporate energy considerations into their resource management models. In edge computing environments, where resources are scarce and latency requirements are stringent, serverless frameworks like OpenFaaS and OpenWhisk commonly rely on Kubernetes for function allocation on edge nodes. However, these frameworks often overlook energy consumption as a critical decision factor, which leads to increased energy costs and higher operational expenses (OPEX). To address this gap, we introduce Go-Green-Go-Cheap (3GC) approach-a deadline-aware and cost-effective resource allocation strategy tailored for serverless service providers to minimize energy and execution costs. 3GC enables real-time resource allocation and leverages the per-core Dynamic Voltage and Frequency Scaling (DVFS) feature to finely tune the balance between execution time and energy consumption. Our evaluation demonstrates that 3GC surpasses existing allocation techniques, achieving cost savings of 39.35% up to 69.43%, while consistently meeting function latency requirements.