Multi-cloud and Multi-data Stores - The Challenges Behind Heterogeneous Data Models

Marcos Aurélio Almeida da Silva; Andrey Sadovykh

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Paper

Multi-cloud and Multi-data Stores - The Challenges Behind Heterogeneous Data Models

In Proceedings of the 4th International Conference on Cloud Computing and Services Science - Volume 1: MultiCloud, 703-713, 2014 , Barcelona, Spain

Authors: Marcos Aurélio Almeida da Silva and Andrey Sadovykh

Affiliation: Softeam, France

Keyword(s): Data Stores, NoSQL, Data Migration.

Abstract: The support to cloud enabled databases varies from one cloud provider to another. Developers face the task of supporting applications living in different clouds, and therefore of supporting different database management systems. To them, the challenge lies in understanding the differences in expressivity between different data stores and their impact on the application. The advent of the NoSQL movement increased the complexity of this task by leveraging the creation of a large number of cloud enabled database management systems employing slightly different data models. In this paper, we will present a model the will allow us to compare the differences in expressivity of the features supported by different databases and consider the impact of these features to different concrete deployment scenarios in multiple clouds. This model is based on the underlying data models adopted by the most used cloud database management systems. It has been developed on the FP7 JUNIPER project and will be the basis of our approach for dealing with these issues. (More)

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Paper citation in several formats:

Aurélio Almeida da Silva, M. and Sadovykh, A. (2014). Multi-cloud and Multi-data Stores - The Challenges Behind Heterogeneous Data Models. In Proceedings of the 4th International Conference on Cloud Computing and Services Science (CLOSER 2014) - MultiCloud; ISBN 978-989-758-019-2; ISSN 2184-5042, SciTePress, pages 703-713. DOI: 10.5220/0004974607030713

@conference{multicloud14,
author={Marcos {Aurélio Almeida da Silva}. and Andrey Sadovykh.},
title={Multi-cloud and Multi-data Stores - The Challenges Behind Heterogeneous Data Models},
booktitle={Proceedings of the 4th International Conference on Cloud Computing and Services Science (CLOSER 2014) - MultiCloud},
year={2014},
pages={703-713},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004974607030713},
isbn={978-989-758-019-2},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Cloud Computing and Services Science (CLOSER 2014) - MultiCloud
TI - Multi-cloud and Multi-data Stores - The Challenges Behind Heterogeneous Data Models
SN - 978-989-758-019-2
IS - 2184-5042
AU - Aurélio Almeida da Silva, M.
AU - Sadovykh, A.
PY - 2014
SP - 703
EP - 713
DO - 10.5220/0004974607030713
PB - SciTePress