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Authors: Pedro Caldeira Neves 1 ; Bradley Schmerl 2 ; Javier Cámara 2 and Jorge Bernardino 3

Affiliations: 1 Carnegie Mellon University and Polytechnic of Coimbra, United States ; 2 Carnegie Mellon University, United States ; 3 Carnegie Mellon University, Polytechnic of Coimbra and University of Coimbra, United States

Keyword(s): Big Data, Cloud Computing, Big Data Issues.

Abstract: The term big data arose under the explosive increase of global data as a technology that is able to store and process big and varied volumes of data, providing both enterprises and science with deep insights over its clients/experiments. Cloud computing provides a reliable, fault-tolerant, available and scalable environment to harbour big data distributed management systems. Within the context of this paper we present an overview of both technologies and cases of success when integrating big data and cloud frameworks. Although big data solves much of our current problems it still presents some gaps and issues that raise concern and need improvement. Security, privacy, scalability, data governance policies, data heterogeneity, disaster recovery mechanisms, and other challenges are yet to be addressed. Other concerns are related to cloud computing and its ability to deal with exabytes of information or address exaflop computing efficiently. This paper presents an overview of both cloud and big data technologies describing the current issues with these technologies. (More)

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Paper citation in several formats:
Neves, P.; Schmerl, B.; Cámara, J. and Bernardino, J. (2016). Big Data in Cloud Computing: Features and Issues. In Proceedings of the International Conference on Internet of Things and Big Data - IoTBD; ISBN 978-989-758-183-0, SciTePress, pages 307-314. DOI: 10.5220/0005846303070314

@conference{iotbd16,
author={Pedro Caldeira Neves. and Bradley Schmerl. and Javier Cámara. and Jorge Bernardino.},
title={Big Data in Cloud Computing: Features and Issues},
booktitle={Proceedings of the International Conference on Internet of Things and Big Data - IoTBD},
year={2016},
pages={307-314},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005846303070314},
isbn={978-989-758-183-0},
}

TY - CONF

JO - Proceedings of the International Conference on Internet of Things and Big Data - IoTBD
TI - Big Data in Cloud Computing: Features and Issues
SN - 978-989-758-183-0
AU - Neves, P.
AU - Schmerl, B.
AU - Cámara, J.
AU - Bernardino, J.
PY - 2016
SP - 307
EP - 314
DO - 10.5220/0005846303070314
PB - SciTePress

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