{"id":"https://openalex.org/W2953590165","doi":"https://doi.org/10.1109/ccgrid.2019.00054","title":"Hybrid Resource Management for HPC and Data Intensive Workloads","display_name":"Hybrid Resource Management for HPC and Data Intensive Workloads","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2953590165","doi":"https://doi.org/10.1109/ccgrid.2019.00054","mag":"2953590165"},"language":"en","primary_location":{"id":"doi:10.1109/ccgrid.2019.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid.2019.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-155619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049340434","display_name":"Abel Souza","orcid":"https://orcid.org/0000-0001-6952-1195"},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Abel Souza","raw_affiliation_strings":["Department of Computing Science, Ume\u00e5 University, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, Ume\u00e5 University, Sweden","institution_ids":["https://openalex.org/I90267481"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108681087","display_name":"Mohamad Rezaei","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Mohamad Rezaei","raw_affiliation_strings":["PDC Center for High Performance Computing, KTH Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"PDC Center for High Performance Computing, KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011376663","display_name":"Erwin Laure","orcid":"https://orcid.org/0000-0002-9901-9857"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Erwin Laure","raw_affiliation_strings":["PDC Center for High Performance Computing, KTH Royal Institute of Technology, Sweden"],"affiliations":[{"raw_affiliation_string":"PDC Center for High Performance Computing, KTH Royal Institute of Technology, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079261323","display_name":"Johan Tordsson","orcid":null},"institutions":[{"id":"https://openalex.org/I90267481","display_name":"Ume\u00e5 University","ror":"https://ror.org/05kb8h459","country_code":"SE","type":"education","lineage":["https://openalex.org/I90267481"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Johan Tordsson","raw_affiliation_strings":["Department of Computing Science, Ume\u00e5 University, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computing Science, Ume\u00e5 University, Sweden","institution_ids":["https://openalex.org/I90267481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049340434"],"corresponding_institution_ids":["https://openalex.org/I90267481"],"apc_list":null,"apc_paid":null,"fwci":1.8575,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86855131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9955999851226807,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8564919829368591},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6887534856796265},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.632502555847168},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.6311224102973938},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5714709758758545},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5400378108024597},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.46938225626945496},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4447246789932251},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4176550805568695},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3274116516113281},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2879541516304016},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13175296783447266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8564919829368591},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6887534856796265},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.632502555847168},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.6311224102973938},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5714709758758545},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5400378108024597},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.46938225626945496},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4447246789932251},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4176550805568695},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3274116516113281},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2879541516304016},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13175296783447266},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ccgrid.2019.00054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid.2019.00054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:umu-155619","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-155619","pdf_url":null,"source":{"id":"https://openalex.org/S4306400361","display_name":"DiVA at Ume\u00e5 University (Ume\u00e5 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I90267481","host_organization_name":"Ume\u00e5 University","host_organization_lineage":["https://openalex.org/I90267481"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:umu-155619","is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-155619","pdf_url":null,"source":{"id":"https://openalex.org/S4306400361","display_name":"DiVA at Ume\u00e5 University (Ume\u00e5 University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I90267481","host_organization_name":"Ume\u00e5 University","host_organization_lineage":["https://openalex.org/I90267481"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W9301319","https://openalex.org/W143203712","https://openalex.org/W1496507101","https://openalex.org/W1539774972","https://openalex.org/W1565528827","https://openalex.org/W1596936080","https://openalex.org/W1598064945","https://openalex.org/W1890643295","https://openalex.org/W1972149251","https://openalex.org/W2009223344","https://openalex.org/W2011516616","https://openalex.org/W2019651010","https://openalex.org/W2023214828","https://openalex.org/W2045271686","https://openalex.org/W2047352485","https://openalex.org/W2072637364","https://openalex.org/W2088734805","https://openalex.org/W2093941454","https://openalex.org/W2102709380","https://openalex.org/W2102849319","https://openalex.org/W2103981209","https://openalex.org/W2105947650","https://openalex.org/W2114888252","https://openalex.org/W2120422789","https://openalex.org/W2147598193","https://openalex.org/W2150139096","https://openalex.org/W2151316504","https://openalex.org/W2155053108","https://openalex.org/W2158714788","https://openalex.org/W2161416813","https://openalex.org/W2163961697","https://openalex.org/W2173213060","https://openalex.org/W2189465200","https://openalex.org/W2290712622","https://openalex.org/W2327709439","https://openalex.org/W2410379713","https://openalex.org/W2496391885","https://openalex.org/W2532284696","https://openalex.org/W2612358188","https://openalex.org/W2770766982","https://openalex.org/W2793315650","https://openalex.org/W2949432502","https://openalex.org/W2956086483","https://openalex.org/W2995564009","https://openalex.org/W3005368569","https://openalex.org/W3101622615","https://openalex.org/W3136172274","https://openalex.org/W4250180141","https://openalex.org/W4297788843","https://openalex.org/W6600384255","https://openalex.org/W6605800888","https://openalex.org/W6639249596","https://openalex.org/W6680922791","https://openalex.org/W6683782006","https://openalex.org/W6684084819","https://openalex.org/W6687322159","https://openalex.org/W6714765043","https://openalex.org/W6765643981","https://openalex.org/W7056154344","https://openalex.org/W7061458307"],"related_works":["https://openalex.org/W2384867379","https://openalex.org/W3214280620","https://openalex.org/W2329539859","https://openalex.org/W3191490922","https://openalex.org/W2227905990","https://openalex.org/W2765823764","https://openalex.org/W2794038527","https://openalex.org/W2151092287","https://openalex.org/W2523801036","https://openalex.org/W2505959877"],"abstract_inverted_index":{"High":[0],"Performance":[1],"Computing":[2],"(HPC)":[3],"and":[4,20,45,107,121,176,186,205,217,223,239],"Data":[5],"Intensive":[6],"(DI)":[7],"workloads":[8,197],"have":[9],"been":[10],"executed":[11],"on":[12,57,110,137,198,214,233,255],"separate":[13],"clusters":[14,60],"using":[15],"different":[16],"tools":[17],"for":[18,48,158,221,263],"resource":[19,95,128,170,208,219,248],"application":[21,111],"management.":[22],"With":[23],"increasing":[24],"convergence,":[25,118],"where":[26],"modern":[27],"applications":[28,136,241],"are":[29,85],"composed":[30],"of":[31,34,134,139,151,168,189,195,236],"both":[32,54],"types":[33,188],"jobs":[35,160],"in":[36,88,161,228],"complex":[37],"workflows,":[38,65],"this":[39,145],"separation":[40],"becomes":[41],"a":[42,49,89,100,119,126,152,229,234],"growing":[43],"overhead":[44],"the":[46,58,114,132,149,215],"need":[47],"common":[50],"platform":[51],"increases.":[52],"Executing":[53],"workload":[55],"classes":[56],"same":[59],"not":[61,77],"only":[62],"enables":[63],"hybrid":[64,127,153,196,245],"but":[66],"can":[67],"also":[68],"increase":[69],"system":[70,130,154,165],"efficiency,":[71],"as":[72],"available":[73],"hardware":[74],"often":[75],"is":[76,125,181,212],"fully":[78],"utilized":[79],"by":[80,250],"applications.":[81,178],"While":[82],"HPC":[83,141,162,175,199,222,238,264],"systems":[84,98],"typically":[86],"managed":[87],"coarse":[90],"grained":[91,102],"fashion,":[92],"with":[93,201,252],"exclusive":[94],"allocations,":[96],"DI":[97,135,159,177,224,240],"employ":[99],"finer":[101],"regime,":[103],"enabling":[104,155],"dynamic":[105],"allocation":[106],"control":[108],"based":[109,213,232],"needs.":[112],"On":[113],"path":[115],"to":[116,172,184],"full":[117],"useful":[120],"less":[122],"intrusive":[123],"step":[124],"management":[129],"allowing":[131,192],"execution":[133],"top":[138],"standard":[140],"scheduling":[142,157],"systems.":[143],"In":[144],"paper":[146],"we":[147],"present":[148],"architecture":[150,180,246],"dual-level":[156],"infrastructures.":[163],"Our":[164],"takes":[166],"advantage":[167],"real-time":[169],"profiling":[171],"efficiently":[173],"co-schedule":[174],"The":[179,210],"easily":[182],"extensible":[183],"current":[185],"new":[187],"distributed":[190],"applications,":[191],"efficient":[193],"combination":[194],"resources":[200],"increased":[202],"job":[203],"throughput":[204],"higher":[206],"overall":[207],"utilization.":[209],"implementation":[211],"Slurm":[216],"Mesos":[218],"managers":[220],"jobs.":[225,265],"Experimental":[226],"evaluations":[227],"real":[230],"cluster":[231],"set":[235],"representative":[237],"demonstrate":[242],"that":[243],"our":[244],"improves":[247],"utilization":[249],"20%,":[251],"12%":[253],"decrease":[254],"queue":[256],"makespan":[257],"while":[258],"still":[259],"meeting":[260],"all":[261],"deadlines":[262]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}
