{"id":"https://openalex.org/W4406459161","doi":"https://doi.org/10.1109/bigdata62323.2024.10825634","title":"Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning","display_name":"Model and Data Management for Machine Learning (M2ML): Integrating Instruments, Edge and HPC for Accelerated Machine Learning","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406459161","doi":"https://doi.org/10.1109/bigdata62323.2024.10825634"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-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/A5051499975","display_name":"Weijian Zheng","orcid":"https://orcid.org/0000-0003-2791-0031"},"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":true,"raw_author_name":"Weijian Zheng","raw_affiliation_strings":["Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052623540","display_name":"Hemant Sharma","orcid":"https://orcid.org/0000-0001-6838-9663"},"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":"Hemant Sharma","raw_affiliation_strings":["Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088145676","display_name":"Ryan Chard","orcid":"https://orcid.org/0000-0002-6781-7432"},"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":"Ryan Chard","raw_affiliation_strings":["Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037837741","display_name":"P\u00e9ter Kenesei","orcid":"https://orcid.org/0000-0002-5781-924X"},"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":"Peter Kenesei","raw_affiliation_strings":["Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089202732","display_name":"Jun\u2010Sang Park","orcid":"https://orcid.org/0000-0002-3416-8130"},"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":"Jun-Sang Park","raw_affiliation_strings":["Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112906509","display_name":"Nicholas Schwarz","orcid":null},"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":"Nicholas Schwarz","raw_affiliation_strings":["Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108121137","display_name":"A. Miceli","orcid":null},"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":"Antonino Miceli","raw_affiliation_strings":["Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,X-Ray Science Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032231503","display_name":"Ian Foster","orcid":"https://orcid.org/0000-0003-2129-5269"},"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":"Ian T. Foster","raw_affiliation_strings":["Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068373159","display_name":"Rajkumar Kettimuthu","orcid":"https://orcid.org/0000-0002-0046-9883"},"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":"Rajkumar Kettimuthu","raw_affiliation_strings":["Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States"],"affiliations":[{"raw_affiliation_string":"Argonne National Laboratory,Data Science and Learning Division,Lemont,IL,United States","institution_ids":["https://openalex.org/I1282105669"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5051499975"],"corresponding_institution_ids":["https://openalex.org/I1282105669"],"apc_list":null,"apc_paid":null,"fwci":1.0778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88695947,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"4275","last_page":"4282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9950000047683716,"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":0.9950000047683716,"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":0.749133825302124},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5472816824913025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4570067822933197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44045186042785645},{"id":"https://openalex.org/keywords/learning-management","display_name":"Learning Management","score":0.41245388984680176},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.38950276374816895},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3461468517780304},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32563531398773193},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.199715256690979}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749133825302124},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5472816824913025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4570067822933197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44045186042785645},{"id":"https://openalex.org/C2779114481","wikidata":"https://www.wikidata.org/wiki/Q6510117","display_name":"Learning Management","level":2,"score":0.41245388984680176},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.38950276374816895},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3461468517780304},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32563531398773193},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.199715256690979}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"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":22,"referenced_works":["https://openalex.org/W2001031142","https://openalex.org/W2011213091","https://openalex.org/W2028753645","https://openalex.org/W2101234009","https://openalex.org/W2302501749","https://openalex.org/W2592114463","https://openalex.org/W2887004701","https://openalex.org/W2979826702","https://openalex.org/W3021718926","https://openalex.org/W3048346032","https://openalex.org/W3103996135","https://openalex.org/W4200603166","https://openalex.org/W4205677385","https://openalex.org/W4206554832","https://openalex.org/W4295312788","https://openalex.org/W4312809242","https://openalex.org/W4318718584","https://openalex.org/W4388581148","https://openalex.org/W4388581294","https://openalex.org/W4400725845","https://openalex.org/W4404936357","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2344181364","https://openalex.org/W4323271941","https://openalex.org/W2418291489","https://openalex.org/W4322097664","https://openalex.org/W2503726207","https://openalex.org/W3096519538","https://openalex.org/W2744747300","https://openalex.org/W4241166160","https://openalex.org/W2068121105","https://openalex.org/W2384826897"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,40,59,74,82,126,130,270],"data":[3,30,34,60,94,150],"produced":[4],"by":[5,121],"scientific":[6,137],"instruments,":[7],"such":[8,223],"as":[9,156,166,224],"the":[10,37,72,78,108,167,178,183,192,248,256,265],"Advanced":[11],"Photon":[12],"Source":[13],"Upgrade":[14],"(APS-U),":[15],"to":[16,28,54,103,139,158,246,272],"train":[17,173],"and":[18,36,61,77,93,119,181,209,227],"fine-tune":[19],"machine":[20,41,98,141,174],"learning":[21,42,142,175],"models":[22,62,176,185],"is":[23,69,124,259],"becoming":[24],"increasingly":[25],"challenging":[26],"due":[27],"high":[29,160,237],"production":[31],"rates,":[32],"large":[33],"volumes,":[35],"growing":[38],"complexity":[39,73],"models.":[43],"To":[44],"address":[45],"these":[46,75],"challenges,":[47],"researchers":[48],"have":[49],"developed":[50],"frameworks":[51,76],"like":[52],"fairDMS":[53],"efficiently":[55],"organize":[56],"vast":[57],"amounts":[58],"for":[63,97,195,202],"rapid":[64],"querying":[65],"when":[66],"model":[67,92,204,258],"degradation":[68],"detected.":[70],"However,":[71],"physically":[79],"distributed":[80,135],"nature":[81],"experimental":[83,153,193],"facilities":[84],"complicate":[85],"their":[86],"deployment.Here":[87],"we":[88],"introduce":[89],"a":[90,128,159,199,236],"high-performance":[91],"management":[95],"framework":[96],"learning,":[99],"M2ML.":[100],"In":[101],"contrast":[102],"previous":[104],"frameworks,":[105],"M2ML":[106,123,197,219,234,261],"abstracts":[107],"tasks":[109,271],"into":[110],"three":[111],"key":[112],"elements":[113],"that":[114,133,214,243],"can":[115,147,215,262],"be":[116,216],"easily":[117],"called":[118],"accessed":[120],"users.":[122],"capable":[125],"utilizing":[127],"variety":[129],"computational":[131],"resources,":[132],"are":[134],"across":[136],"facilities,":[138],"accelerate":[140,264],"tasks.":[143],"For":[144],"example,":[145],"it":[146],"automatically":[148],"transfer":[149],"from":[151],"an":[152],"facility":[154,164,194],"(such":[155,165],"APS-U)":[157],"performance":[161],"computing":[162,188,274],"(HPC)":[163],"Argonne":[168],"Leadership":[169],"Computing":[170],"Facility":[171],"(ALCF)),":[172],"at":[177,191],"HPC":[179],"facility,":[180],"deploy":[182],"trained":[184],"on":[186],"edge":[187],"devices":[189],"back":[190],"inferencing.":[196],"provides":[198],"unified":[200],"interface":[201],"(on-the-fly)":[203],"(re)training,":[205],"storage,":[206],"evaluation,":[207],"fine-tuning,":[208],"inferencing":[210],"using":[211,235],"heterogeneous":[212],"resources":[213],"geographically":[217],"distributed.":[218],"uses":[220],"Globus":[221,225,228],"services":[222],"Transfer":[226],"Compute":[229],"(formerly":[230],"FuncX).":[231],"We":[232],"evaluate":[233],"energy":[238],"diffraction":[239,249],"microscopy":[240],"(HEDM)":[241],"workflow":[242,266],"employs":[244],"BraggNN":[245,257],"predict":[247],"peak":[250],"locations.":[251],"Results":[252],"show":[253],"that,":[254],"although":[255],"small,":[260],"significantly":[263],"through":[267],"selective":[268],"assignment":[269],"different":[273],"resources.":[275]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
