Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters

Application workload scheduling in hybrid Cloud-Edge-IoT infrastructures has been extensively researched over the last years. The recent trend of containerizing application workloads, both in the cloud and on the edge, has further fueled the need for more advanced scheduling solutions in these hybrid infrastructures. Unfortunately, most of the current approaches are not fully sensitive to the edge properties and also lack adequate support for Service level Objective (SLO) awareness. Previously, we introduced software defined gateways (SDGs), which enable managing novel edge resources at scale. At the same time Kubernetes was initially released. In spite of not being specifically developed for the edge, Kubernetes implements many of the design principles introduced by our SUGs, making it suitable for building SDG extensions on top of it. In this paper we present Polaris Scheduler - a novel scheduling framework, which enables edge sensitive and SLO aware scheduling in the Cloud-Edge-IoT Continuum. Polaris Scheduler is being developed as a part of Linux Foundation's Centaurus project. We discuss the main research challenges, the approach, and the vision of SLO aware edge sensitive scheduling.

Automated summary

In recent years, extensive research has been conducted on application workload scheduling in hybrid Cloud-Edge-IoT infrastructures, leading to the development of various solutions. However, current approaches are lacking in sensitivity to edge properties and Service Level Objective (SLO) awareness, highlighting the need for more advanced scheduling solutions. This paper introduces a novel scheduling framework, Polaris Scheduler, aimed at achieving edge-sensitive and SLO-aware scheduling in the Cloud-Edge-IoT Continuum.