Big Data in Cloud Computing: Features and Issues

Pedro Caldeira Neves, Bradley Schmerl, Javier Cámara, Jorge Bernardino


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.


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Paper Citation

in Harvard Style

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 - Volume 1: IoTBD, ISBN 978-989-758-183-0, pages 307-314. DOI: 10.5220/0005846303070314

in Bibtex Style

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 - Volume 1: IoTBD,},

in EndNote Style

JO - Proceedings of the International Conference on Internet of Things and Big Data - Volume 1: 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