loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Lu Chen ; Yiru Pan and Richard O. Sinnott

Affiliation: School of Computing and Information Systems, University of Melbourne, Melbourne, Victoria, Australia

Keyword(s): Auto-scaling, Container Orchestration, Docker Swarm, Kubernetes, Openstack.

Abstract: The Australian Urban Research Infrastructure Network (AURIN – www.aurin.org.au) provides a data-driven, Cloud-based research environment for researchers across Australasia. The platform offers seamless and secure access to over 5000 definitive data sets from over 100 major government agencies across Australia with over 100 targeted tools that can be used for data analysis. One such tool is the walkability tool environment. This offers a set of Cloud-based components that generate walkability indices at user-specified scales. The walkability tools utilize geospatial data to create walkability indices that can be used to establish the walkability of given locations. The walkability workflow tools are built on a range of specialised spatial and statistical functions delivered as part of the AURIN environment. However, the existing AURIN web-based tools are currently deployed on a single (large) virtual machine, which is a performance and scalability bottleneck. Container technologies su ch as Docker and associated container orchestration environments such as Docker Swarm and Kubernetes support Cloud-based scaling. This paper introduces the background to the walkability environment and describes how it was extended to support Docker in Swarm mode and Kubernetes to make the walkability environment more robust and scalable, especially under heavy workloads. Performance benchmarking and a case study are presented looking at the creation of large-scale walkability indexes for areas around Melbourne. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.200.66

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Chen, L.; Pan, Y. and Sinnott, R. (2020). Auto-scaling Walkability Analytics through Kubernetes and Docker SWARM on the Cloud. In Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-424-4; ISSN 2184-5042, SciTePress, pages 261-272. DOI: 10.5220/0009337902610272

@conference{closer20,
author={Lu Chen. and Yiru Pan. and Richard O. Sinnott.},
title={Auto-scaling Walkability Analytics through Kubernetes and Docker SWARM on the Cloud},
booktitle={Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER},
year={2020},
pages={261-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009337902610272},
isbn={978-989-758-424-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER
TI - Auto-scaling Walkability Analytics through Kubernetes and Docker SWARM on the Cloud
SN - 978-989-758-424-4
IS - 2184-5042
AU - Chen, L.
AU - Pan, Y.
AU - Sinnott, R.
PY - 2020
SP - 261
EP - 272
DO - 10.5220/0009337902610272
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic