Reference Architecture for Running Large Scale Data Integration Experiments

Michał Bodziony; Robert Wrembel

doi:10.1007/978-3-030-86472-9_1

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Title

Reference Architecture for Running Large Scale Data Integration Experiments

Authors

Michał Bodziony (PP) ^{[ 1 ][ 2.3 ][ DW ]}
Robert Wrembel (WIiT) ^{[ 2 ][ 2.3 ][ P ]}

^{[ 1 ]} Politechnika Poznańska | ^{[ 2 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ DW ]} applied doctorate phd student | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Chapter type

chapter in monograph / paper

Publication language

english

Keywords

EN

data integration
data processing
hybrid cloud
containerization
performance testing
software architecture
experimentation

Abstract

EN This paper contributes a reference architecture of a reusable infrastructure for scientific experiments on data processing and data integration. The architecture is based on containerization and is integrated with an external machine learning cloud service to build performance models.

Date of online publication

31.08.2021

Pages (from - to)

3 - 9

DOI

10.1007/978-3-030-86472-9_1

URL

https://link.springer.com/chapter/10.1007/978-3-030-86472-9_1

Book

Database and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27–30, 2021, Proceedings, Part I

Presented on

32nd International Conference on Database and Expert Systems Applications DEXA 2021, 27-30.09.2021