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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 111
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
Edited by: P. Iványi, B.H.V. Topping and G. Várady
Paper 15

Cloud Agnostic Orchestration for Big Data Research Platforms

R. Lovas1,2, E. Nagy1,2 and J. Kovács1

1Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary
2John von Neumann Faculty of Informatics, OŽ buda University, Budapest, Hungary

Full Bibliographic Reference for this paper
R. Lovas, E. Nagy, J. Kovacs , "Cloud Agnostic Orchestration for Big Data Research Platforms", in P. Iványi, B.H.V. Topping, G. Várady, (Editors), "Proceedings of the Fifth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 15, 2017. doi:10.4203/ccp.111.15
Keywords: cloud computing, orchestration, Hadoop, Occopus, contextualization.

Summary
Nowadays a significant part of the cloud applications process large amount of data to provide the desired analytics, simulation and other results. Cloud infrastructures are becoming an appropriate and widely used solution to address the computation need of many scientific and commercial Big Data applications. In this paper, we present a solution of an automatic Hadoop infrastructure deployment on cloud with the Occopus cloud orchestrator. This solution provides an easy-to-use, portable, scalable, automatic deployment of Hadoop particularly for non-commercial clouds in order to avoid vendor locking issues, i.e. there is no dependency on any provider prepared virtual machine image, etc.

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