Large-scale computing systems are today built as distributed systems, where components and services are distributed and accessed remotely through clients and devices for reasons of scale, heterogeneity, cost and energy efficiency. In some systems, in particular latency-sensitive or high availability systems, components are also placed closer to end-users in order to increase reliability and reduce latency, a style of computing often referred to as edge or fog computing. However, while recent years have seen significant advances in system instrumentation as well as data center energy efficiency and automation, computational resources and network capacity are often provisioned using best-effort models and coarse-grained QoS mechanisms, even in state-of-the-art data centers. These limitations are seen as a major hindrance in the face of the coming evolution of the Internet of Things (IoT) and the networked society, which are projected to significantly increase the load on networks and data centers (Ostberg et. al, 2017).