Hybrid Multi-model Multi-platform (HM3P) Databases

Sven Groppe, Jinghua Groppe

2020

Abstract

There exist various standards for different models of data, and hence users often must handle a zoo of data models. Storing and processing data in their native models, but spanning optimizations and processing across these models seem to be the most efficient way, such that we recently observe an advent of multi-model databases for this purpose. Companies, end users and developers typically run different platforms like mobile devices, web, desktops, servers, clouds and post-clouds (e.g., fog and edge computing) as execution environments for their applications at the same time. In this paper, we propose to utilize the different platforms according to their advantages and benefits for data distribution, query processing and transaction handling in an overall integrated hybrid multi-model multi-platform (HM3P) database. We analyze current state-of-the-art multi-model databases according to the support of multiple platforms. Furthermore, we analyze the properties of databases running on different types of platforms. We detail new challenges for the novel concept of HM3P databases concerning a global optimization of data distribution, query processing and transaction handling across multiple platforms.

Paper Citation

in Harvard Style

Groppe S. and Groppe J. (2020). Hybrid Multi-model Multi-platform (HM3P) Databases.In Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-440-4, pages 177-184. DOI: 10.5220/0009802401770184

in Bibtex Style

@conference{data20,
author={Sven Groppe and Jinghua Groppe},
title={Hybrid Multi-model Multi-platform (HM3P) Databases},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2020},
pages={177-184},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009802401770184},
isbn={978-989-758-440-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Hybrid Multi-model Multi-platform (HM3P) Databases
SN - 978-989-758-440-4
AU - Groppe S.
AU - Groppe J.
PY - 2020
SP - 177
EP - 184
DO - 10.5220/0009802401770184