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Serverless OCaml genomic pipeline parallelisation engine

  • Identification data

    Identifier: TFG:5627
    Handle: http://hdl.handle.net/20.500.11797/TFG5627
  • Authors:

    Arasa Verge, Gil
  • Others:

    Creation date in repository: 2023-02-07
    Abstract: Cloud computing is increasingly being used by the scientific community to avoid or minimize up-front infrastructure costs and maintenance. Cloud transparency means accessing local and remote resources using identical operations, being able to hide the complexity of scaling big data volumes. The aim of our work is to broaden current knowledge of interoperability between cloud and locally developed software in a language-agnostic paradigm, following transparency principles to migrate a particular multiprocessing OCaml architecture to serverless. Our results show that developers can benefit from serverless principles, particularly performance scalability, even when maintaining their legacy code architecture with minor modifications.
    Subject: Computació en núvol
    Language: en
    Subject areas: Enginyeria informàtica Computer engineering Ingeniería informática
    Department: Enginyeria Informàtica i Matemàtiques
    Student: Arasa Verge, Gil
    Academic year: 2021-2022
    Title in different languages: Motor de paralelización serverless de pipelines genómicos OCaml Serverless OCaml genomic pipeline parallelisation engine Motor de paral·lelització serverless de pipelines genòmics OCaml
    Work's public defense date: 2022-06-22
    Access rights: info:eu-repo/semantics/openAccess
    Keywords: nube, big data, genomica cloud, big data, genomics nuvol, dades massives, genomica
    Confidenciality: No
    TFG credits: 12
    Title in original language: Serverless OCaml genomic pipeline parallelisation engine
    Project director: García López, Pedro
    Education area(s): Enginyeria Informàtica
    Entity: Universitat Rovira i Virgili (URV)
  • Keywords:

    Enginyeria informàtica
    Computer engineering
    Ingeniería informática
    Computació en núvol
  • Documents:

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