Published February 20, 2023 | Version v1
Conference paper Open

rFaaS: Enabling High Performance Serverless with RDMA and Leases

Authors/Creators

  • 1. ETH Zurich

Description

This upload contains the software prototype, data, analysis scripts, and replication scripts for the paper "rFaaS: Enabling High Performance Serverless with RDMA and Leases" (IEEE IPDPS 2023).

With our artifact, we provide the following components:

  • rfaas - source code of the tool

  • data - benchmarking results obtained for the paper

  • analysis - Python plotting and analysis scripts used for data analysis

  • benchmarks - scripts helping to reproduce the experiments

  • docker - compressed Docker images that were used for our experiments.

 

Files

artifact.zip

Files (118.2 MB)

Name Size
md5:37c3b6428f31d90ba1b0344683bb6544
118.2 MB Preview Download