Implementing a Cloud-Based Service Supporting Biological Network Simulations

Biological analysis applications are usually high demanding in terms of computational power required. Cloud Computing infrastructures can be of great value supporting those type of applications, thanks to the high flexibility and performing hardware provided. The merging of solutions based on MapRed...

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Bibliographic Details
Main Authors: Bertone, Fabrizio, Caragnano, Giuseppe, Mossucca, Lorenzo, Terzo, Olivier, Benso, Alfredo, Politano, Gianfranco, Savino, Alessandro
Format: Conference Proceeding
Language:English
Subjects:
Algorithms
Biological
Biological system modeling
Cloud computing
Computational modeling
Computer simulation
Data models
e-science
File systems
Infrastructure
Map Reduce
Merging
Networks
parallel algorithm
resource orchestrator
system biology
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Summary:Biological analysis applications are usually high demanding in terms of computational power required. Cloud Computing infrastructures can be of great value supporting those type of applications, thanks to the high flexibility and performing hardware provided. The merging of solutions based on MapReduce and distributed file systems services, allows the creation of scalable infrastructures and data management services adaptable to various use cases and requirements. However, the implementation and deployment of cloud based services remains a complex task for biological researchers without specific skills. In this paper authors describe a service that allows the execution of a biological networks simulation tool in cloud, implemented with the aid of MapReduce algorithms called MaReX. The paper shows in detail the interactions occurring between the various components of the platform such as: database, process manager agent and graphical user interface.
ISSN:1550-445X
2332-5658
DOI:10.1109/AINA.2016.102