Conference paper Open Access

Contextual linking between workflow provenance and system performance logs

Ahanach, Elias el Khaldi; Koulouzis, Spiros; Zhao, Zhiming


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{
  "description": "<p>When executing scientific workflows, anomalies of</p>\n\n<p>the workflow behavior are often caused by different issues such</p>\n\n<p>as resource failures at the underlying infrastructure. The provenance</p>\n\n<p>information collected by workflow management systems</p>\n\n<p>only captures the transformation of data at the workflow level.</p>\n\n<p>Analyzing provenance information and apposite system metrics</p>\n\n<p>requires expertise and manual effort. Moreover, it is often timeconsuming</p>\n\n<p>to aggregate this information and correlate events</p>\n\n<p>occurring at different levels of the infrastructure. In this paper,</p>\n\n<p>we propose an architecture to automate the integration among</p>\n\n<p>workflow provenance information and performance information</p>\n\n<p>from the infrastructure level. Our architecture enables workflow</p>\n\n<p>developers or domain scientists to effectively browse workflow</p>\n\n<p>execution information together with the system metrics, and</p>\n\n<p>analyze contextual information for possible anomalies.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Amsterdam", 
      "@type": "Person", 
      "name": "Ahanach, Elias el Khaldi"
    }, 
    {
      "affiliation": "University of Amsterdam", 
      "@type": "Person", 
      "name": "Koulouzis, Spiros"
    }, 
    {
      "affiliation": "University of Amsterdam", 
      "@id": "https://orcid.org/0000-0002-6717-9418", 
      "@type": "Person", 
      "name": "Zhao, Zhiming"
    }
  ], 
  "headline": "Contextual linking between workflow provenance and system performance logs", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2019-09-26", 
  "url": "https://zenodo.org/record/3462820", 
  "version": "Camera ready", 
  "@type": "ScholarlyArticle", 
  "keywords": [
    "scientific workflow", 
    "provenance", 
    "system logs"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1109/eScience.2019.00093", 
  "@id": "https://doi.org/10.1109/eScience.2019.00093", 
  "workFeatured": {
    "url": "http://escience2019.sdsc.edu", 
    "alternateName": "eScience2019", 
    "location": "San Diego", 
    "@type": "Event", 
    "name": "IEEE International Conference on eScience 2019"
  }, 
  "name": "Contextual linking between workflow provenance and system performance logs"
}
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