Skip to content
/ skippy Public

A system for scheduling serverless edge functions

Notifications You must be signed in to change notification settings

edgerun/skippy

Repository files navigation

Skippy

Skippy is a scheduling system for serverless platforms that improves function placement on edge infrastructure.

  • skippy-core: The core system containing the scheduling logic and API
  • skippy-daemon: Daemon to scan and report cluster node capabilities
  • skippy-kubernetes: The bindings for running Skippy alongside Kubernetes
  • faas-sim: A FaaS simulator used for optimizing scheduling parameters

Related publications

  1. Rausch, T., Rashed, A., & Dustdar, S. (2020) Optimized container scheduling for data-intensive serverless edge computing. In Future Generation Computer Systems.. [Paper] [Preprint]
  2. Rashed, A. (2020) Optimized Container Scheduling for Serverless Edge Computing. Diploma Thesis. TU Wien. [Thesis]
  3. Rausch, T., Hummer, W., Muthusamy, V., Rashed, A., & Dustdar, S. (2019). Towards a Serverless Platform for Edge AI. In 2nd USENIX Workshop on Hot Topics in Edge Computing (HotEdge 19). USENIX Association. [Preprint]

About

A system for scheduling serverless edge functions

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published