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Hyperloom Possibilities for Executing Scientific Workflows on the Cloud

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10237362" target="_blank" >RIV/61989100:27240/18:10237362 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/18:10237362

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-319-61566-0_36" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-61566-0_36</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-61566-0_36" target="_blank" >10.1007/978-3-319-61566-0_36</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Hyperloom Possibilities for Executing Scientific Workflows on the Cloud

  • Original language description

    We have developed HyperLoom - a platform for defining and executing scientific workflows in large-scale HPC systems. The computational tasks in such workflows often have non-trivial dependency patterns, unknown execution time and unknown sizes of generated outputs. HyperLoom enables to efficiently execute the workflows respecting task requirements and cluster resources agnostically to the shape or size of the workflow. Although HPC infrastructures provide an unbeatable performance, they may be unavailable or too expensive especially for small to medium workloads. Moreover, for some workloads, due to HPCs not very flexible resource allocation policy, the system energy efficiency may not be optimal at some stages of the execution. In contrast, current public cloud providers such as Amazon, Google or Exoscale allow users a comfortable and elastic way of deploying, scaling and disposing a virtualized cluster of almost any size. In this paper, we describe HyperLoom virtualization and evaluate its performance in a virtualized environment using workflows of various shapes and sizes. Finally, we discuss the Hyperloom potential for its expansion to cloud environments.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Advances in Intelligent Systems and Computing. Volume 611

  • ISBN

    978-3-319-61565-3

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Number of pages

    10

  • Pages from-to

    397-406

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Turín

  • Event date

    Jul 10, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000432998800036