Abstract
Big Data applications are\rpervading more and more aspects of our life, encompassing commercial and\rscientific uses at increasing rates as we move towards exascale analytics.\rExamples of Big Data applications include storing and accessing user data in\rcommercial clouds, mining of social data, and analysis of large-scale\rsimulations and experiments such as the Large Hadron Collider. An increasing\rnumber of such data—intensive applications and services are relying on clouds\rin order to process and manage the enormous amounts of data required for\rcontinuous operation. It can be difficult to decide which of the many options\rfor cloud processing is suitable for a given application; the aim of this paper\ris therefore to provide an interested user with an overview of the most\rimportant concepts of cloud computing as it relates to processing of Big Data.
Cite
CITATION STYLE
Branch, R., Tjeerdsma, H., Wilson, C., Hurley, R., & McConnell, S. (2014). Cloud Computing and Big Data: A Review of Current Service Models and Hardware Perspectives. Journal of Software Engineering and Applications, 07(08), 686–693. https://doi.org/10.4236/jsea.2014.78063
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