• 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