{"id":"https://openalex.org/W2756568380","doi":"https://doi.org/10.1109/cluster.2017.11","title":"Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates","display_name":"Trade-Off Between Prediction Accuracy and Underestimation Rate in Job Runtime Estimates","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2756568380","doi":"https://doi.org/10.1109/cluster.2017.11","mag":"2756568380"},"language":"en","primary_location":{"id":"doi:10.1109/cluster.2017.11","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cluster.2017.11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Cluster Computing (CLUSTER)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070703870","display_name":"Yuping Fan","orcid":"https://orcid.org/0000-0002-9425-2780"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuping Fan","raw_affiliation_strings":["Illinois Institute of Technology Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059940982","display_name":"Paul M. Rich","orcid":null},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Rich","raw_affiliation_strings":["Illinois Institute of Technology Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Illinois Institute of Technology Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027512179","display_name":"William Allcock","orcid":"https://orcid.org/0000-0002-7984-6847"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William E. Allcock","raw_affiliation_strings":["Argonne National Laboratory Argonne, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory Argonne, IL, USA","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010928934","display_name":"Michael E. Papka","orcid":"https://orcid.org/0000-0002-6418-5767"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael E. Papka","raw_affiliation_strings":["Argonne National Laboratory, Argonne, IL, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory, Argonne, IL, US","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060400468","display_name":"Zhiling Lan","orcid":"https://orcid.org/0000-0002-1047-8724"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiling Lan","raw_affiliation_strings":["Argonne National Laboratory Argonne, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory Argonne, IL, USA","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0921,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.89458435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"530","last_page":"540"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8071256875991821},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5638175010681152},{"id":"https://openalex.org/keywords/job-queue","display_name":"Job queue","score":0.49295854568481445},{"id":"https://openalex.org/keywords/job-scheduler","display_name":"Job scheduler","score":0.4745786190032959},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3608611226081848},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13211634755134583},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.08627471327781677}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8071256875991821},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5638175010681152},{"id":"https://openalex.org/C171627638","wikidata":"https://www.wikidata.org/wiki/Q6206744","display_name":"Job queue","level":4,"score":0.49295854568481445},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.4745786190032959},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3608611226081848},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13211634755134583},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.08627471327781677},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cluster.2017.11","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cluster.2017.11","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Cluster Computing (CLUSTER)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320332359","display_name":"Office of Science","ror":"https://ror.org/00mmn6b08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1489244361","https://openalex.org/W1510274974","https://openalex.org/W1517890825","https://openalex.org/W1531403850","https://openalex.org/W1560179297","https://openalex.org/W1581615656","https://openalex.org/W1596936080","https://openalex.org/W1599248213","https://openalex.org/W1932332931","https://openalex.org/W1944778298","https://openalex.org/W1992930088","https://openalex.org/W2004915807","https://openalex.org/W2053341340","https://openalex.org/W2102236934","https://openalex.org/W2108905989","https://openalex.org/W2112168774","https://openalex.org/W2115374750","https://openalex.org/W2118449103","https://openalex.org/W2119821739","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2139250332","https://openalex.org/W2150074609","https://openalex.org/W2166019559","https://openalex.org/W2170305808","https://openalex.org/W2792423399","https://openalex.org/W2911964244","https://openalex.org/W3123526565","https://openalex.org/W4237640996","https://openalex.org/W4239510810","https://openalex.org/W4241335538","https://openalex.org/W6630478950","https://openalex.org/W6678353954","https://openalex.org/W6749537315"],"related_works":["https://openalex.org/W2401183800","https://openalex.org/W1488955381","https://openalex.org/W2735859668","https://openalex.org/W4385069207","https://openalex.org/W2927104664","https://openalex.org/W3201941117","https://openalex.org/W4301973339","https://openalex.org/W2078824716","https://openalex.org/W42309186","https://openalex.org/W44553394"],"abstract_inverted_index":{"Job":[0],"runtime":[1,13,29,33,51,75,94,135],"estimates":[2,30,136],"provided":[3],"by":[4,31,63,199],"users":[5],"are":[6,83],"widely":[7],"acknowledged":[8],"to":[9,37,54,109,129,167],"be":[10,61,124],"overestimated":[11],"and":[12,77,137,156,178],"overestimation":[14],"can":[15,123],"greatly":[16],"degrade":[17],"job":[18,28,46,56,59,120,130,134,140],"scheduling":[19,141,195],"performance.":[20,142],"Previous":[21],"studies":[22],"focus":[23],"on":[24],"improving":[25,133],"accuracy":[26,76,112,153],"of":[27,45,74,80,105,119,150,154,160,194,202],"reducing":[32],"overestimation,":[34],"but":[35],"fail":[36],"address":[38,87],"the":[39,43,58,64,72,78,101,106,192,200],"underestimation":[40,44,81,117,158,185],"problem":[41],"(i.e.,":[42],"runtimes).":[47],"Using":[48],"an":[49,92],"underestimated":[50],"is":[52,148,163],"catastrophic":[53],"a":[55,115,127,183],"as":[57,126,165,174],"will":[60],"killed":[62],"scheduler":[65,131],"before":[66],"completion.":[67],"We":[68],"argue":[69],"that":[70,146],"both":[71],"improvement":[73],"reduction":[79],"rate":[82,118,159,186],"equally":[84],"important.":[85],"To":[86],"this":[88],"problem,":[89],"we":[90],"propose":[91],"online":[93],"adjustment":[95],"framework":[96],"called":[97],"TRIP.":[98,203],"TRIP":[99,122,147],"explores":[100],"data":[102],"censoring":[103],"capability":[104],"Tobit":[107],"model":[108],"improve":[110],"prediction":[111],"while":[113],"keeping":[114],"low":[116,157],"runtimes.":[121],"used":[125],"plugin":[128],"for":[132],"hence":[138],"boosting":[139],"Preliminary":[143],"results":[144],"demonstrate":[145],"capable":[149],"achieving":[151],"high":[152,184],"80%":[155],"5%.":[161],"This":[162],"significant":[164],"compared":[166],"other":[168],"well-known":[169],"machine":[170],"learning":[171],"methods":[172],"such":[173],"SVM,":[175],"Random":[176],"Forest,":[177],"Last-2":[179],"which":[180],"result":[181],"in":[182],"(20%-50%).":[187],"Our":[188],"experiments":[189],"further":[190],"quantify":[191],"amount":[193],"performance":[196],"gain":[197],"achieved":[198],"use":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
