{"id":"https://openalex.org/W4414229474","doi":"https://doi.org/10.1109/tpds.2025.3610354","title":"HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient HPC Resource Management","display_name":"HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient HPC Resource Management","publication_year":2025,"publication_date":"2025-09-16","ids":{"openalex":"https://openalex.org/W4414229474","doi":"https://doi.org/10.1109/tpds.2025.3610354"},"language":"en","primary_location":{"id":"doi:10.1109/tpds.2025.3610354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2025.3610354","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"},"type":"article","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/A5119630554","display_name":"Kyrian C. Adimora","orcid":null},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kyrian C. Adimora","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KN, USA","institution_ids":["https://openalex.org/I146416000"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076659753","display_name":"Hongyang Sun","orcid":"https://orcid.org/0000-0002-4379-4467"},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongyang Sun","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KN, USA","institution_ids":["https://openalex.org/I146416000"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5119630554"],"corresponding_institution_ids":["https://openalex.org/I146416000"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27947805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"11","first_page":"2438","last_page":"2450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9968000054359436,"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":0.9968000054359436,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9959999918937683,"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":0.9955000281333923,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.5357999801635742},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5063999891281128},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.48069998621940613},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.4433000087738037},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4390999972820282},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4374000132083893},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4212000072002411},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.40540000796318054}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8195000290870667},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5680000185966492},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.5357999801635742},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.48069998621940613},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4433000087738037},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4374000132083893},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.40540000796318054},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.375900000333786},{"id":"https://openalex.org/C7817414","wikidata":"https://www.wikidata.org/wiki/Q1779504","display_name":"Energy management","level":3,"score":0.37040001153945923},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2778837361","wikidata":"https://www.wikidata.org/wiki/Q2450880","display_name":"Exascale computing","level":3,"score":0.31209999322891235},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.29899999499320984},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2678999900817871},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2630000114440918},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2603999972343445}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpds.2025.3610354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpds.2025.3610354","pdf_url":null,"source":{"id":"https://openalex.org/S97130795","display_name":"IEEE Transactions on Parallel and Distributed Systems","issn_l":"1045-9219","issn":["1045-9219","1558-2183","2161-9883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Parallel and Distributed Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5752675223","display_name":null,"funder_award_id":"2441633","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2020965138","https://openalex.org/W2069687637","https://openalex.org/W2139031252","https://openalex.org/W2139287409","https://openalex.org/W2151851325","https://openalex.org/W2162462435","https://openalex.org/W2256407986","https://openalex.org/W2606826455","https://openalex.org/W2613195858","https://openalex.org/W2767921504","https://openalex.org/W2808108824","https://openalex.org/W2890277969","https://openalex.org/W2945310826","https://openalex.org/W2949840227","https://openalex.org/W2968986602","https://openalex.org/W3033848960","https://openalex.org/W3152893301","https://openalex.org/W3176930059","https://openalex.org/W3188301851","https://openalex.org/W4312572335","https://openalex.org/W4315567819","https://openalex.org/W4321597484","https://openalex.org/W4388581188","https://openalex.org/W4388581281","https://openalex.org/W4389438685","https://openalex.org/W4395115520","https://openalex.org/W4396842938","https://openalex.org/W4402351995","https://openalex.org/W4404099799","https://openalex.org/W4405924948","https://openalex.org/W4406157759","https://openalex.org/W4406316087","https://openalex.org/W4406612898","https://openalex.org/W4408362299","https://openalex.org/W4409054539","https://openalex.org/W4410868564"],"related_works":[],"abstract_inverted_index":{"Exascale":[0],"high-performance":[1],"computing":[2],"(HPC)":[3],"systems":[4],"face":[5],"critical":[6],"resource":[7,25],"management":[8],"challenges":[9,35],"such":[10],"as":[11],"massive":[12],"energy":[13,56,106],"consumption":[14],"in":[15,92],"megawatts":[16],"per":[17,126],"facility,":[18],"performance":[19,113],"variability":[20,114],"for":[21],"identical":[22],"jobs,":[23],"and":[24,58,81,96,111],"utilization":[26],"inefficiencies.":[27],"Traditional":[28],"single-objective":[29],"schedulers":[30],"cannot":[31],"address":[32],"these":[33],"multifaceted":[34],"effectively.":[36],"This":[37],"paper":[38],"introduces":[39],"HARMONIC":[40],"(Holistic":[41],"Adaptive":[42],"Resource":[43],"Management":[44],"Optimizing":[45],"Next-generation":[46],"Interconnected":[47],"Computing),":[48],"a":[49],"novel":[50],"framework":[51],"that":[52],"simultaneously":[53],"optimizes":[54],"performance,":[55],"efficiency,":[57],"resilience":[59],"through":[60,133],"uncertainty-aware":[61],"multi-objective":[62],"optimization.":[63],"Our":[64],"approach":[65],"distinguishes":[66],"aleatoric":[67],"uncertainty":[68,74],"(inherent":[69],"system":[70,88],"variability)":[71],"from":[72],"epistemic":[73],"(modeling":[75],"limitations)":[76],"using":[77],"Bayesian":[78],"neural":[79],"networks":[80],"employs":[82],"graphbased":[83],"representations":[84],"to":[85,119],"capture":[86],"complex":[87],"dependencies.":[89],"Experimental":[90],"validation":[91],"both":[93],"simulated":[94],"environments":[95],"controlled":[97],"testbeds":[98],"demonstrates":[99],"significant":[100],"improvements":[101],"over":[102],"state-of-the-art":[103],"schedulers:":[104],"10-19%":[105],"reduction,":[107],"16-25%":[108],"throughput":[109],"improvement":[110],"18-32%":[112],"reduction.":[115],"These":[116],"results":[117],"translate":[118],"potential":[120],"annual":[121],"savings":[122],"of":[123],"multimillion":[124],"dollars":[125],"exascale":[127],"facility":[128],"while":[129],"enhancing":[130],"scientific":[131],"productivity":[132],"improved":[134],"experimental":[135],"reproducibility.":[136]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
