License: 
Creative Commons Attribution 3.0 Germany license (CC BY 3.0 DE)
When quoting this document, please refer to the following
DOI: 10.4230/DARTS.4.1.2
URN: urn:nbn:de:0030-drops-87118
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/8711/
Delnat, Wito ;
Heyman, Thomas ;
Joosen, Wouter ;
Preuveneers, Davy ;
Rafique, Ansar ;
Truyen, Eddy ;
Van Landuyt, Dimitri
K8-Scalar: a workbench to compare autoscalers for container-orchestrated services (Artifact)
Abstract
This artifact is an easy-to-use and extensible workbench exemplar, named K8-Scalar, which allows researchers to implement and evaluate different self-adaptive approaches to autoscaling container-orchestrated services. The workbench is based on Docker, a popular technology for easing the deployment of containerized software that also has been positioned as an enabler for reproducible research. The workbench also relies on a container orchestration framework: Kubernetes (K8s), the de-facto industry standard for orchestration and monitoring of elastically scalable container-based services. Finally, it integrates and extends Scalar, a generic testbed for evaluating the scalability of large-scale systems with support for evaluating the performance of autoscalers for database clusters.
The associated scholarly paper presents (i) the architecture and implementation of K8-Scalar and how a particular autoscaler can be plugged in, (ii) sketches the design of a Riemann-based autoscaler for database clusters, (iii) illustrates how to design, setup and analyze a series of experiments to configure and evaluate the performance of this autoscaler for a particular database (i.e., Cassandra) and a particular workload type, (iv) and validates the effectiveness of K8-scalar as a workbench for accurately comparing the performance of different auto-scaling strategies. Future work includes extending K8-Scalar with an improved research data management repository.
BibTeX - Entry
@Article{delnat_et_al:DARTS:2018:8711,
author = {Wito Delnat and Thomas Heyman and Wouter Joosen and Davy Preuveneers and Ansar Rafique and Eddy Truyen and Dimitri Van Landuyt},
title = {{K8-Scalar: a workbench to compare autoscalers for container-orchestrated services (Artifact)}},
pages = {2:1--2:6},
journal = {Dagstuhl Artifacts Series},
ISSN = {2509-8195},
year = {2018},
volume = {4},
number = {1},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2018/8711},
URN = {urn:nbn:de:0030-drops-87118},
doi = {10.4230/DARTS.4.1.2},
annote = {Keywords: Container orchestration, autoscalers, experimentation exemplar}
}
