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Authors: Marco Reis and Aletéia Favacho de Araújo

Affiliation: Department of Computer Science, University of Brasília, UnB, Brasília and Brazil

ISBN: 978-989-758-365-0

ISSN: 2184-5042

Keyword(s): Big Data, Cloud Computing, NoSQL, Hadoop, Data Engineering.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Cloud Computing Enabling Technology ; Xaas

Abstract: There are multiple definitions and technologies making the path to a big data solution a challenging task. The use of cloud computing together with a proven big data software architecture helps reducing project costs, development time and abstracts the complexity of the underlying implementation technologies. The combination of cloud computing and big data platforms results in a new service model, called Big Data as a Service (BDaaS), that automates the process of provisioning the infrastructure. This paper presents an architecture for big data systems in private clouds, using a real system to evaluate the functionalities. The architecture supports batch/real-time processing, messaging systems and data services based on web APIs. The architectural description defines the technology roadmap, composed exclusively of big data tools. The results showed that the proposed architecture supports the facilities of cloud computing and performs well in the analysis of large datasets.

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Paper citation in several formats:
Reis, M. and Favacho de Araújo, A. (2019). ArchaDIA: An Architecture for Big Data as a Service in Private Cloud. In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-365-0 ISSN 2184-5042, pages 187-197. DOI: 10.5220/0007787801870197

@conference{closer19,
author={Marco Reis. and Aletéia {Favacho de Araújo}.},
title={ArchaDIA: An Architecture for Big Data as a Service in Private Cloud},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2019},
pages={187-197},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007787801870197},
isbn={978-989-758-365-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - ArchaDIA: An Architecture for Big Data as a Service in Private Cloud
SN - 978-989-758-365-0
IS - 2184-5042
AU - Reis, M.
AU - Favacho de Araújo, A.
PY - 2019
SP - 187
EP - 197
DO - 10.5220/0007787801870197

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