DocumentCode
244554
Title
A performance evaluation of TopHat RNA sequences alignment tool on openstack-based cloud environments
Author
Foschini, Luca ; Pernafini, Alessandro ; Corradi, Antonio ; Rosati, Mario ; Federico, Alessandro ; Fiameni, Giuseppe
Author_Institution
Centro Interdipartimentale di Ricerca Ind. ICT, Univ. of Bologna, Bologna, Italy
fYear
2014
fDate
21-25 July 2014
Firstpage
358
Lastpage
365
Abstract
Despite its great promises, current Cloud offering has not been fully exploited for the management of Next-Generation Sequencing technologies. In fact, while dynamic resource allocation is typically required to ensure efficient and effective usage of the Cloud resources, Cloud providers have to deal with complex services, usually treated as black-boxes; hence, the estimation of the maximum number of resources that could improve service execution is a big challenge. This paper proposes and explores the benefits of Cloud deployment when operating a processor-hungry RNA alignment tool. The goal is to show the advantages of the virtualized and Cloud-aware approach compared to a typical bare-metal deployment. Extensive results demonstrate that our approach is as a viable first step toward easing the deployment and improving run-time service scaling.
Keywords
cloud computing; public domain software; resource allocation; software performance evaluation; virtual machines; virtualisation; NGS; OpenStack-based cloud environments; TopHat RNA sequences alignment tool; VMs; cloud resource allocation; next-generation sequencing; performance evaluation; virtual machines; virtualization; Bioinformatics; Cloud computing; Neutrons; Pipelines; RNA; Servers; OpenStack; Performance Evaluation; TopHat; Virtualization;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location
Bologna
Print_ISBN
978-1-4799-5312-7
Type
conf
DOI
10.1109/HPCSim.2014.6903708
Filename
6903708
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