Hugo Saldanha, Edward Ribeiro, Maristela Holanda, Aleteia Araujo, Genaina Rodrigues, Maria Emilia Walter, João Carlos Setubal, Alberto Dávila


Cloud computing has emerged as a promising platform for large scale data intensive scientific research, i.e., processing tasks that use hundreds of hours of CPU time and petabytes of data storage. Despite being object of current research, efforts are mainly based on MapReduce in order to have processing performed in clouds. This article describes the BioNimbus project, which aims to define an architecture and to create a framework for easy and flexible integration and support for distributed execution of bioinformatics tools in a cloud environment, not only tied to the MapReduce paradigm. As a result, we leverage cloud elasticity, fault tolerance and, at the same time, significantly improve the storage capacity and execution time of bioinformatics tasks, mainly of large scale genome sequencing projects.


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Paper Citation

in Harvard Style

Saldanha H., Ribeiro E., Holanda M., Araujo A., Rodrigues G., Emilia Walter M., Carlos Setubal J. and Dávila A. (2011). A CLOUD ARCHITECTURE FOR BIOINFORMATICS WORKFLOWS . In Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-8425-52-2, pages 477-483. DOI: 10.5220/0003394004770483

in Bibtex Style

author={Hugo Saldanha and Edward Ribeiro and Maristela Holanda and Aleteia Araujo and Genaina Rodrigues and Maria Emilia Walter and João Carlos Setubal and Alberto Dávila},
booktitle={Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},

in EndNote Style

JO - Proceedings of the 1st International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
SN - 978-989-8425-52-2
AU - Saldanha H.
AU - Ribeiro E.
AU - Holanda M.
AU - Araujo A.
AU - Rodrigues G.
AU - Emilia Walter M.
AU - Carlos Setubal J.
AU - Dávila A.
PY - 2011
SP - 477
EP - 483
DO - 10.5220/0003394004770483