On Kubernetes-aided federated database systems

Zheng Li, Nicolás Saldías-Vallejos, María Andrea Rodríguez, Austen Rainer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Cloud computing has made federated database systems (FDBS) significantly more practical to implement than in the past. As part of a recent Web-based Geographic Information System (WebGIS) project, we are employing cloud-native technologies (from the container ecosystem) to develop a federated database (DB) infrastructure, to help manage and utilise the distributed and various geospatial data. Unfortunately, there seem to be inherent challenges and complexity of applying the container and Kubernetes technologies to building and running DB systems. Considering that most of the geospatial and theme data are pre-obtained and fixed in our WebGIS project, we decided to focus on the read-only user queries and still resort to Kubernetes to implement an FDBS instance to use. Unlike the de facto practices (e.g., using the StatefulSets mechanism, extending Kuberentes APIs, or employing KubeFed), our solution for Kubernetes-aided FDBS simplifies the tech stack by investigating the fractal object of federated data management, inclusively containerising DB instances, and using the lightweight Deployment mechanism to handle stateless DB containers. Overall, this research not only reveals an easy-to-implement approach to constructing read-only components in a fully-fledged FDBS, but also proposes and demonstrates a novel methodology for FDBS investigations.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2022): Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages8
ISBN (Electronic)9781665463676
ISBN (Print)9781665463683
DOIs
Publication statusPublished - 09 Jan 2023
EventIEEE International Conference on Cloud Computing Technology and Science - Bangkok, Thailand
Duration: 13 Dec 202216 Dec 2022
https://www.2022.cloudcom.org/

Publication series

NameIEEE International Conference on Cloud Computing Technology and Science: proceedings
ISSN (Electronic)2330-2186

Conference

ConferenceIEEE International Conference on Cloud Computing Technology and Science
Abbreviated titleCloudCom
Country/TerritoryThailand
CityBangkok
Period13/12/202216/12/2022
Internet address

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