Easy Scaling: The Most Critical Consideration for Choosing Analytical Database Management Systems in the Cloud Era

Jie Liu, Genyuan Du, Genyuan Du

2023

Abstract

Analytical database management systems offer significant advantages for organizations practicing data-driven decision-making. ADBMSs rely on massively parallel processing for performance improvement, increased availability and other computation related resources, and improved scalability and stability. In this position paper, we argue that (1) Gustafson-Barsis’ Law aligns well with use cases suitable for Cloud-based ADBMS, still, neither Amdahl’s law nor Gustafson’s law is sufficient in guiding us on answer the question "how many processors should we use to gain better performance economically", and (2) ADBMS’s capability of utilizing parallel processing does not translate directly into easy scaling, specially scaling horizontally by adding more instances or nodes to distribute the workload at will, so when costs are somewhat controllable, allowing easy scaling should be by far the most critical consideration for choosing an ADBMS.

Paper Citation

in Harvard Style

Liu J. and Du G. (2023). Easy Scaling: The Most Critical Consideration for Choosing Analytical Database Management Systems in the Cloud Era. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-671-2, SciTePress, pages 373-378. DOI: 10.5220/0012207600003598

in Bibtex Style

@conference{kdir23,
author={Jie Liu and Genyuan Du},
title={Easy Scaling: The Most Critical Consideration for Choosing Analytical Database Management Systems in the Cloud Era},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2023},
pages={373-378},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012207600003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - Easy Scaling: The Most Critical Consideration for Choosing Analytical Database Management Systems in the Cloud Era
SN - 978-989-758-671-2
AU - Liu J.
AU - Du G.
PY - 2023
SP - 373
EP - 378
DO - 10.5220/0012207600003598
PB - SciTePress