Deciding When and How to Move HPC Jobs to the Cloud.

Now used for high-performance computing applications, the cloud presents a challenge for users who must decide, based on efficiency and cost-effectiveness, when and how to run jobs on cloud-based resources versus when to use on-premise clusters. The authors propose a decision-support system to help...

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Publicado en:Computer (00189162) Vol. 48; no. 11; pp. 86 - 90
Autores principales: Netto, Marco A.S., Cunha, Renato L.F., Sultanum, Nicole
Formato: Artículo
Publicado: IEEE Nov2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Deciding When and How to Move HPC Jobs to the Cloud.
      aug:
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          Netto, Marco A.S.
          Cunha, Renato L.F.
          Sultanum, Nicole
        affil: IBM Research
      su:
        Computing platforms
        Cloud computing
        Cost effectiveness
        Computer users
        Decision support systems
      sug:
        subj:
          Computing platforms
          Cloud computing
          Cost effectiveness
          Computer users
          Decision support systems
      keyword:
        Benchmark testing
        benchmarking
        cloud
        Cloud Cover
        decision-support system
        DSS
        High performance computing
        high-performance computing
        HPC
        Monitoring
        Queueing analysis
        Resource management
      ab: Now used for high-performance computing applications, the cloud presents a challenge for users who must decide, based on efficiency and cost-effectiveness, when and how to run jobs on cloud-based resources versus when to use on-premise clusters. The authors propose a decision-support system to help make these determinations.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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