Scipediacontent: Scipediacontent moved page Draft Content 228789693 to Davidovic et al 2015a

2021-02-03T19:12:08Z

Scipediacontent moved page Draft Content 228789693 to Davidovic et al 2015a

Scipediacontent: Created page with " == Abstract == - The data-driven parallelization framework Hadoop MapReduce allows analysing large data sets in a scalable way. Since the development of MapReduce programs..."

2021-02-03T19:12:05Z

Created page with " == Abstract == - The data-driven parallelization framework Hadoop MapReduce allows analysing large data sets in a scalable way. Since the development of MapReduce programs..."

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== Abstract ==

- The data-driven parallelization framework Hadoop MapReduce allows analysing large data sets in a scalable way. Since the development of MapReduce programs can be a time-intensive and challenging task, the application and usage of Hadoop in Biomedical Research is still limited. Here we present Cloudflow, a high-level framework to hide the implementation details of Hadoop and to provide a set of building blocks to create biomedical pipelines in a more intuitive way. We demonstrate the benefit of Cloudflow on three different genetic use cases. It will be shown how the framework can be combined with the Hadoop workflow system Cloudgene and the cloud orchestration platform CloudMan to provide Hadoop pipelines as a service to everyone. The framework is open source and free available at https://github.com/genepi/cloudflow.

Document type: Conference object

== Full document ==
<pdf>Media:Draft_Content_228789693-beopen6514-2248-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.6084/m9.figshare.1424739 http://dx.doi.org/10.6084/m9.figshare.1424739] under the license https://creativecommons.org/licenses/by/4.0/legalcode

* [http://dx.doi.org/10.6084/m9.figshare.1424739.v1 http://dx.doi.org/10.6084/m9.figshare.1424739.v1] under the license https://creativecommons.org/licenses/by/4.0/legalcode

* [http://fulir.irb.hr/1988/1/Cloudflow%20-%20A%20Framework%20for%20MapReduce%20Pipile%20Development%20in%20Biomedical%20Research.pdf http://fulir.irb.hr/1988/1/Cloudflow%20-%20A%20Framework%20for%20MapReduce%20Pipile%20Development%20in%20Biomedical%20Research.pdf]

* [http://fulir.irb.hr/1988 http://fulir.irb.hr/1988],
: [http://mipro-proceedings.com http://mipro-proceedings.com],
: [http://fulir.irb.hr/1988/1/Cloudflow%20-%20A%20Framework%20for%20MapReduce%20Pipile%20Development%20in%20Biomedical%20Research.pdf http://fulir.irb.hr/1988/1/Cloudflow%20-%20A%20Framework%20for%20MapReduce%20Pipile%20Development%20in%20Biomedical%20Research.pdf]

* [http://xplorestaging.ieee.org/ielx7/7153596/7160221/07160259.pdf?arnumber=7160259 http://xplorestaging.ieee.org/ielx7/7153596/7160221/07160259.pdf?arnumber=7160259],
: [http://dx.doi.org/10.1109/mipro.2015.7160259 http://dx.doi.org/10.1109/mipro.2015.7160259]

* [https://dblp.uni-trier.de/db/conf/mipro/mipro2015.html#ForerAWDSKS15 https://dblp.uni-trier.de/db/conf/mipro/mipro2015.html#ForerAWDSKS15],
: [http://ieeexplore.ieee.org/document/7160259 http://ieeexplore.ieee.org/document/7160259],
: [https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/2080825/CloudflowSUBMITTED.pdf https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/2080825/CloudflowSUBMITTED.pdf],
: [https://doi.org/10.1109/MIPRO.2015.7160259 https://doi.org/10.1109/MIPRO.2015.7160259],
: [http://fulir.irb.hr/1988 http://fulir.irb.hr/1988],
: [https://academic.microsoft.com/#/detail/1605032987 https://academic.microsoft.com/#/detail/1605032987]

DOIS: 10.6084/m9.figshare.1424739.v1 10.1109/mipro.2015.7160259 10.6084/m9.figshare.1424739

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Davidovic et al 2015a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 228789693 to Davidovic et al 2015a

Scipediacontent: Created page with " == Abstract == - The data-driven parallelization framework Hadoop MapReduce allows analysing large data sets in a scalable way. Since the development of MapReduce programs..."