SeMoDe – Simulation and Benchmarking Pipeline for Function as a Service




Faculty/Professorship: Distributed Systems  
Author(s): Manner, Johannes  
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2021
Pages: 56
Series ; Volume: Bamberger Beiträge zur Wirtschaftsinformatik und Angewandten Informatik ; 105 
Language(s): English
DOI: 10.20378/irb-52238
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-522386
Abstract: 
Cloud computing started with the promise of delivering computing resources elastically at scale, pay per use and on demand self-service to name a few capabilities. In early 2016, Amazon Web Services (AWS) launched a new product called AWS Lambda which started the so called serverless hype and established a new cloud delivery model, namely Function as a Service (FaaS). FaaS offerings keep the promise of delivering computing resources on demand. They dynamically scale up and down function instances and introduce the most fine-grained billing model across all as-a-service offerings by accounting on a milliseconds basis. Despite this flexibility and the possibility to concentrate on the business functionality, a FaaS user loses operational control. Only a few configuration options remain to tune the functions. The first pay-as-you-go billing model raises new questions for performance-cost trade-offs.
In order to choose a suitable configuration dependent on the use case and get a solid understanding of performance impact of FaaS platforms, SeMoDe implements a benchmarking and simulation pipeline. It calibrates a physical developer machine, simulates the function in different settings which are comparable to those of cloud offerings and enables a decision guidance to choose an appropriate configuration when deploying it. Based on a Structured Literature Review (SLR) to show the benchmarking and simulation efforts, I suggest a checklist for conducting fair, repeatable and meaningful benchmarks with a focus on documenting the experiments.
GND Keywords: Cloud Computing; Function as a Service; Benchmarking; Simulation
Keywords: Cloud Computing, Function as a Service, Benchmarking, Simulation
DDC Classification: 004 Computer science  
RVK Classification: ST 233   
Type: Workingpaper
URI: https://fis.uni-bamberg.de/handle/uniba/52238
Release Date: 10. December 2021

File Description SizeFormat  
fisba52238.pdf1.75 MBPDFView/Open