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