AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows

Abstract

Multi-stage serverless applications, i.e., workflows with many computation and I/O stages, are becoming increasingly representative of FaaS platforms. Despite their advantages in terms of fine-grained scalability and modular development, these applications are subject to suboptimal performance, resource inefficiency, and high costs to a larger degree than previous simple serverless functions.