Naslov
Cloudflow – A Framework for MapReduce Pipeline Development in Biomedical Research

Autori
Forer, Lukas ; Afgan, Enis ; Weißensteiner, Hansi ; Davidović, Davor ; Specht, Gűnter ; Kronenberg, Florian ; Schönherr, Sebastian

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MIPRO 2015 38th International Convention Proceedings / Petar Biljanović - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2015, 185-190

ISBN
978-953-233-083-0

Skup
38. international convention on information and communication technology, electronics and microelectronics

Mjesto i datum
Opatija, Hrvatska, 25.05.2015. - 29.05.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Hadoop; biomedical; cloud; cloudflow; cloudman

Sažetak
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 resent 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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

Napomena
Best paper award

POVEZANOST RADA