AccaSim: a customizable workload management simulator for job dispatching research in HPC systems View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-01

AUTHORS

Cristian Galleguillos, Zeynep Kiziltan, Alessio Netti, Ricardo Soto

ABSTRACT

We present AccaSim, a simulator for workload management in HPC systems. Thanks to AccaSim’s scalability to large workload datasets, support for easy customization, and practical automated tools to aid experimentation, users can easily represent various real HPC systems, develop novel advanced dispatchers and evaluate them in a convenient way across different workload sources. AccaSim is thus an attractive tool for conducting job dispatching research in HPC systems. More... »

PAGES

1-16

References to SciGraph publications

  • 2010-01. New techniques for simulating high performance MPI applications on large storage networks in THE JOURNAL OF SUPERCOMPUTING
  • 2017. Batsim: A Realistic Language-Independent Resources and Jobs Management Systems Simulator in JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING
  • 2017. Real-Life Experience with Major Reconfiguration of Job Scheduling System in JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING
  • 2017-12-21. Data-Driven Job Dispatching in HPC Systems in MACHINE LEARNING, OPTIMIZATION, AND BIG DATA
  • 2001. Metrics for Parallel Job Scheduling and Their Convergence in JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING
  • 2014. A Case Study of Energy Aware Scheduling on SuperMUC in SUPERCOMPUTING
  • 2014. Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling in JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING
  • 2015. Power Capping in High Performance Computing Systems in PRINCIPLES AND PRACTICE OF CONSTRAINT PROGRAMMING
  • 2018. AccaSim: An HPC Simulator for Workload Management in HIGH PERFORMANCE COMPUTING
  • 2018-02-28. Tuning EASY-Backfilling Queues in JOB SCHEDULING STRATEGIES FOR PARALLEL PROCESSING
  • 2015. Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations in EURO-PAR 2015: PARALLEL PROCESSING WORKSHOPS
  • 2018-05-29. Heterogeneity-Aware Resource Allocation in HPC Systems in HIGH PERFORMANCE COMPUTING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10586-019-02905-5

    DOI

    http://dx.doi.org/10.1007/s10586-019-02905-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111835310


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Bologna", 
              "id": "https://www.grid.ac/institutes/grid.6292.f", 
              "name": [
                "Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, 2362807, Valparaiso, Chile", 
                "University of Bologna, 40126, Bologna, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Galleguillos", 
            "givenName": "Cristian", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Bologna", 
              "id": "https://www.grid.ac/institutes/grid.6292.f", 
              "name": [
                "University of Bologna, 40126, Bologna, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kiziltan", 
            "givenName": "Zeynep", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Bologna", 
              "id": "https://www.grid.ac/institutes/grid.6292.f", 
              "name": [
                "University of Bologna, 40126, Bologna, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Netti", 
            "givenName": "Alessio", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Pontificial Catholic University of Valparaiso", 
              "id": "https://www.grid.ac/institutes/grid.8170.e", 
              "name": [
                "Pontificia Universidad Cat\u00f3lica de Valpara\u00edso, 2362807, Valparaiso, Chile"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Soto", 
            "givenName": "Ricardo", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0743-7315(03)00108-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002828411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0743-7315(03)00108-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002828411"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2807591.2807610", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004447652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jpdc.2014.06.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016116768"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-27308-2_34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016210220", 
              "https://doi.org/10.1007/978-3-319-27308-2_34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-45540-x_11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017023005", 
              "https://doi.org/10.1007/3-540-45540-x_11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11227-009-0279-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017805401", 
              "https://doi.org/10.1007/s11227-009-0279-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11227-009-0279-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017805401", 
              "https://doi.org/10.1007/s11227-009-0279-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-662-43779-7_6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030931116", 
              "https://doi.org/10.1007/978-3-662-43779-7_6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2807591.2807646", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036040652"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-23219-5_37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039186422", 
              "https://doi.org/10.1007/978-3-319-23219-5_37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.suscom.2011.02.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040968937"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0166-218x(83)90012-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042307636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-07518-1_25", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043084294", 
              "https://doi.org/10.1007/978-3-319-07518-1_25"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cpe.3607", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044099674"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1145/2832087.2832091", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047333046"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpds.2008.111", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061753280"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpds.2016.2516997", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061755008"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpds.2016.2543725", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061755055"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-61756-5_5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090601682", 
              "https://doi.org/10.1007/978-3-319-61756-5_5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-61756-5_10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090603434", 
              "https://doi.org/10.1007/978-3-319-61756-5_10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tpds.2017.2769082", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092505908"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/hpcsim.2014.6903700", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093860417"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icpp.2007.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093932626"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/clustr.2007.4629218", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094289747"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/sc.2016.13", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094330282"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/e2sc.2014.8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1094382524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/ds-rt.2014.15", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095249493"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/icnc.2011.14", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1095661683"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4108/icst.simutools2010.8722", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099262602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4108/icst.simutools2010.8722", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099262602"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-72926-8_37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099736296", 
              "https://doi.org/10.1007/978-3-319-72926-8_37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-72926-8_37", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1099736296", 
              "https://doi.org/10.1007/978-3-319-72926-8_37"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-73353-1_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100090965", 
              "https://doi.org/10.1007/978-3-319-73353-1_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-77398-8_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101242800", 
              "https://doi.org/10.1007/978-3-319-77398-8_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-77398-8_3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101242800", 
              "https://doi.org/10.1007/978-3-319-77398-8_3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-92040-5_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104272825", 
              "https://doi.org/10.1007/978-3-319-92040-5_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-319-92040-5_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104272825", 
              "https://doi.org/10.1007/978-3-319-92040-5_1"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-02-01", 
        "datePublishedReg": "2019-02-01", 
        "description": "We present AccaSim, a simulator for workload management in HPC systems. Thanks to AccaSim\u2019s scalability to large workload datasets, support for easy customization, and practical automated tools to aid experimentation, users can easily represent various real HPC systems, develop novel advanced dispatchers and evaluate them in a convenient way across different workload sources. AccaSim is thus an attractive tool for conducting job dispatching research in HPC systems.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10586-019-02905-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1046649", 
            "issn": [
              "1386-7857", 
              "1573-7543"
            ], 
            "name": "Cluster Computing", 
            "type": "Periodical"
          }
        ], 
        "name": "AccaSim: a customizable workload management simulator for job dispatching research in HPC systems", 
        "pagination": "1-16", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "45e541455421eaf429bfe3bfb5a514bbc193b481780470453943c0e730a0bfd2"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10586-019-02905-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111835310"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10586-019-02905-5", 
          "https://app.dimensions.ai/details/publication/pub.1111835310"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:00", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000327_0000000327/records_115001_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs10586-019-02905-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10586-019-02905-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10586-019-02905-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10586-019-02905-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10586-019-02905-5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    184 TRIPLES      21 PREDICATES      56 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10586-019-02905-5 schema:about anzsrc-for:08
    2 anzsrc-for:0801
    3 schema:author N74230034fce64d63961ceb342546c721
    4 schema:citation sg:pub.10.1007/3-540-45540-x_11
    5 sg:pub.10.1007/978-3-319-07518-1_25
    6 sg:pub.10.1007/978-3-319-23219-5_37
    7 sg:pub.10.1007/978-3-319-27308-2_34
    8 sg:pub.10.1007/978-3-319-61756-5_10
    9 sg:pub.10.1007/978-3-319-61756-5_5
    10 sg:pub.10.1007/978-3-319-72926-8_37
    11 sg:pub.10.1007/978-3-319-73353-1_12
    12 sg:pub.10.1007/978-3-319-77398-8_3
    13 sg:pub.10.1007/978-3-319-92040-5_1
    14 sg:pub.10.1007/978-3-662-43779-7_6
    15 sg:pub.10.1007/s11227-009-0279-4
    16 https://doi.org/10.1002/cpe.3607
    17 https://doi.org/10.1016/0166-218x(83)90012-4
    18 https://doi.org/10.1016/j.jpdc.2014.06.013
    19 https://doi.org/10.1016/j.suscom.2011.02.003
    20 https://doi.org/10.1016/s0743-7315(03)00108-4
    21 https://doi.org/10.1109/clustr.2007.4629218
    22 https://doi.org/10.1109/ds-rt.2014.15
    23 https://doi.org/10.1109/e2sc.2014.8
    24 https://doi.org/10.1109/hpcsim.2014.6903700
    25 https://doi.org/10.1109/icnc.2011.14
    26 https://doi.org/10.1109/icpp.2007.42
    27 https://doi.org/10.1109/sc.2016.13
    28 https://doi.org/10.1109/tpds.2008.111
    29 https://doi.org/10.1109/tpds.2016.2516997
    30 https://doi.org/10.1109/tpds.2016.2543725
    31 https://doi.org/10.1109/tpds.2017.2769082
    32 https://doi.org/10.1145/2807591.2807610
    33 https://doi.org/10.1145/2807591.2807646
    34 https://doi.org/10.1145/2832087.2832091
    35 https://doi.org/10.4108/icst.simutools2010.8722
    36 schema:datePublished 2019-02-01
    37 schema:datePublishedReg 2019-02-01
    38 schema:description We present AccaSim, a simulator for workload management in HPC systems. Thanks to AccaSim’s scalability to large workload datasets, support for easy customization, and practical automated tools to aid experimentation, users can easily represent various real HPC systems, develop novel advanced dispatchers and evaluate them in a convenient way across different workload sources. AccaSim is thus an attractive tool for conducting job dispatching research in HPC systems.
    39 schema:genre research_article
    40 schema:inLanguage en
    41 schema:isAccessibleForFree false
    42 schema:isPartOf sg:journal.1046649
    43 schema:name AccaSim: a customizable workload management simulator for job dispatching research in HPC systems
    44 schema:pagination 1-16
    45 schema:productId N6a649c1270284fa18197c7ac7df296df
    46 N85060c8521194517ad666ccd38aca243
    47 N85e922f3a745468bb110611771507f10
    48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111835310
    49 https://doi.org/10.1007/s10586-019-02905-5
    50 schema:sdDatePublished 2019-04-11T09:00
    51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    52 schema:sdPublisher N5fcc49b2cae74aea8b4e1080ca1cc721
    53 schema:url https://link.springer.com/10.1007%2Fs10586-019-02905-5
    54 sgo:license sg:explorer/license/
    55 sgo:sdDataset articles
    56 rdf:type schema:ScholarlyArticle
    57 N26c21b4e04ea4dfb88c9e04b2e9c6a69 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
    58 schema:familyName Kiziltan
    59 schema:givenName Zeynep
    60 rdf:type schema:Person
    61 N2da812a3e8ed4fb59d80bc29cc3acde0 rdf:first N26c21b4e04ea4dfb88c9e04b2e9c6a69
    62 rdf:rest N761d7310992e46879360bf40f027a628
    63 N5fcc49b2cae74aea8b4e1080ca1cc721 schema:name Springer Nature - SN SciGraph project
    64 rdf:type schema:Organization
    65 N6a649c1270284fa18197c7ac7df296df schema:name dimensions_id
    66 schema:value pub.1111835310
    67 rdf:type schema:PropertyValue
    68 N74230034fce64d63961ceb342546c721 rdf:first Nf01049bd3e4945cc9293921c145e8a00
    69 rdf:rest N2da812a3e8ed4fb59d80bc29cc3acde0
    70 N761d7310992e46879360bf40f027a628 rdf:first N76f1b67797ba4838a49586f9a9a3a88c
    71 rdf:rest Ndab1fc5775934d53bf0d03ee624f34be
    72 N76f1b67797ba4838a49586f9a9a3a88c schema:affiliation https://www.grid.ac/institutes/grid.6292.f
    73 schema:familyName Netti
    74 schema:givenName Alessio
    75 rdf:type schema:Person
    76 N85060c8521194517ad666ccd38aca243 schema:name readcube_id
    77 schema:value 45e541455421eaf429bfe3bfb5a514bbc193b481780470453943c0e730a0bfd2
    78 rdf:type schema:PropertyValue
    79 N85e922f3a745468bb110611771507f10 schema:name doi
    80 schema:value 10.1007/s10586-019-02905-5
    81 rdf:type schema:PropertyValue
    82 Ndab1fc5775934d53bf0d03ee624f34be rdf:first Nfbea7f4fb8934edb87dee6c0dd9c56e7
    83 rdf:rest rdf:nil
    84 Nf01049bd3e4945cc9293921c145e8a00 schema:affiliation https://www.grid.ac/institutes/grid.6292.f
    85 schema:familyName Galleguillos
    86 schema:givenName Cristian
    87 rdf:type schema:Person
    88 Nfbea7f4fb8934edb87dee6c0dd9c56e7 schema:affiliation https://www.grid.ac/institutes/grid.8170.e
    89 schema:familyName Soto
    90 schema:givenName Ricardo
    91 rdf:type schema:Person
    92 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    93 schema:name Information and Computing Sciences
    94 rdf:type schema:DefinedTerm
    95 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    96 schema:name Artificial Intelligence and Image Processing
    97 rdf:type schema:DefinedTerm
    98 sg:journal.1046649 schema:issn 1386-7857
    99 1573-7543
    100 schema:name Cluster Computing
    101 rdf:type schema:Periodical
    102 sg:pub.10.1007/3-540-45540-x_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017023005
    103 https://doi.org/10.1007/3-540-45540-x_11
    104 rdf:type schema:CreativeWork
    105 sg:pub.10.1007/978-3-319-07518-1_25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043084294
    106 https://doi.org/10.1007/978-3-319-07518-1_25
    107 rdf:type schema:CreativeWork
    108 sg:pub.10.1007/978-3-319-23219-5_37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039186422
    109 https://doi.org/10.1007/978-3-319-23219-5_37
    110 rdf:type schema:CreativeWork
    111 sg:pub.10.1007/978-3-319-27308-2_34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016210220
    112 https://doi.org/10.1007/978-3-319-27308-2_34
    113 rdf:type schema:CreativeWork
    114 sg:pub.10.1007/978-3-319-61756-5_10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090603434
    115 https://doi.org/10.1007/978-3-319-61756-5_10
    116 rdf:type schema:CreativeWork
    117 sg:pub.10.1007/978-3-319-61756-5_5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090601682
    118 https://doi.org/10.1007/978-3-319-61756-5_5
    119 rdf:type schema:CreativeWork
    120 sg:pub.10.1007/978-3-319-72926-8_37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099736296
    121 https://doi.org/10.1007/978-3-319-72926-8_37
    122 rdf:type schema:CreativeWork
    123 sg:pub.10.1007/978-3-319-73353-1_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100090965
    124 https://doi.org/10.1007/978-3-319-73353-1_12
    125 rdf:type schema:CreativeWork
    126 sg:pub.10.1007/978-3-319-77398-8_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101242800
    127 https://doi.org/10.1007/978-3-319-77398-8_3
    128 rdf:type schema:CreativeWork
    129 sg:pub.10.1007/978-3-319-92040-5_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104272825
    130 https://doi.org/10.1007/978-3-319-92040-5_1
    131 rdf:type schema:CreativeWork
    132 sg:pub.10.1007/978-3-662-43779-7_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030931116
    133 https://doi.org/10.1007/978-3-662-43779-7_6
    134 rdf:type schema:CreativeWork
    135 sg:pub.10.1007/s11227-009-0279-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017805401
    136 https://doi.org/10.1007/s11227-009-0279-4
    137 rdf:type schema:CreativeWork
    138 https://doi.org/10.1002/cpe.3607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044099674
    139 rdf:type schema:CreativeWork
    140 https://doi.org/10.1016/0166-218x(83)90012-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042307636
    141 rdf:type schema:CreativeWork
    142 https://doi.org/10.1016/j.jpdc.2014.06.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016116768
    143 rdf:type schema:CreativeWork
    144 https://doi.org/10.1016/j.suscom.2011.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040968937
    145 rdf:type schema:CreativeWork
    146 https://doi.org/10.1016/s0743-7315(03)00108-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002828411
    147 rdf:type schema:CreativeWork
    148 https://doi.org/10.1109/clustr.2007.4629218 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094289747
    149 rdf:type schema:CreativeWork
    150 https://doi.org/10.1109/ds-rt.2014.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095249493
    151 rdf:type schema:CreativeWork
    152 https://doi.org/10.1109/e2sc.2014.8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094382524
    153 rdf:type schema:CreativeWork
    154 https://doi.org/10.1109/hpcsim.2014.6903700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093860417
    155 rdf:type schema:CreativeWork
    156 https://doi.org/10.1109/icnc.2011.14 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095661683
    157 rdf:type schema:CreativeWork
    158 https://doi.org/10.1109/icpp.2007.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093932626
    159 rdf:type schema:CreativeWork
    160 https://doi.org/10.1109/sc.2016.13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094330282
    161 rdf:type schema:CreativeWork
    162 https://doi.org/10.1109/tpds.2008.111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061753280
    163 rdf:type schema:CreativeWork
    164 https://doi.org/10.1109/tpds.2016.2516997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061755008
    165 rdf:type schema:CreativeWork
    166 https://doi.org/10.1109/tpds.2016.2543725 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061755055
    167 rdf:type schema:CreativeWork
    168 https://doi.org/10.1109/tpds.2017.2769082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092505908
    169 rdf:type schema:CreativeWork
    170 https://doi.org/10.1145/2807591.2807610 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004447652
    171 rdf:type schema:CreativeWork
    172 https://doi.org/10.1145/2807591.2807646 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036040652
    173 rdf:type schema:CreativeWork
    174 https://doi.org/10.1145/2832087.2832091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047333046
    175 rdf:type schema:CreativeWork
    176 https://doi.org/10.4108/icst.simutools2010.8722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099262602
    177 rdf:type schema:CreativeWork
    178 https://www.grid.ac/institutes/grid.6292.f schema:alternateName University of Bologna
    179 schema:name Pontificia Universidad Católica de Valparaíso, 2362807, Valparaiso, Chile
    180 University of Bologna, 40126, Bologna, Italy
    181 rdf:type schema:Organization
    182 https://www.grid.ac/institutes/grid.8170.e schema:alternateName Pontificial Catholic University of Valparaiso
    183 schema:name Pontificia Universidad Católica de Valparaíso, 2362807, Valparaiso, Chile
    184 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...