{"id":"https://openalex.org/W4391094213","doi":"https://doi.org/10.1109/bigdata59044.2023.10386633","title":"Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression","display_name":"Predictive Modeling of Run Time for Model and Data Distributed Inferencing Using Gradient Boosting Regression","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094213","doi":"https://doi.org/10.1109/bigdata59044.2023.10386633"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386633","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5074709577","display_name":"Scott Brown","orcid":"https://orcid.org/0000-0002-9060-6756"},"institutions":[{"id":"https://openalex.org/I1320675724","display_name":"Parsons (United States)","ror":"https://ror.org/001sezm06","country_code":"US","type":"company","lineage":["https://openalex.org/I1320675724"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Brown","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","DEVCOM Army Research Laboratory, Army Research Directorate, MD, USA","Parsons Corporation, Aberdeen Proving Ground, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]},{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate, MD, USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]},{"raw_affiliation_string":"Parsons Corporation, Aberdeen Proving Ground, MD, USA","institution_ids":["https://openalex.org/I1320675724"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073913871","display_name":"David Harman","orcid":null},"institutions":[{"id":"https://openalex.org/I1320675724","display_name":"Parsons (United States)","ror":"https://ror.org/001sezm06","country_code":"US","type":"company","lineage":["https://openalex.org/I1320675724"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Harman","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","Parsons Corporation, Aberdeen Proving Ground, MD, USA","DEVCOM Army Research Laboratory, Army Research Directorate, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]},{"raw_affiliation_string":"Parsons Corporation, Aberdeen Proving Ground, MD, USA","institution_ids":["https://openalex.org/I1320675724"]},{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate, MD, USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043917139","display_name":"Cleon Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I1320675724","display_name":"Parsons (United States)","ror":"https://ror.org/001sezm06","country_code":"US","type":"company","lineage":["https://openalex.org/I1320675724"]},{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cleon Anderson","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","DEVCOM Army Research Laboratory, Army Research Directorate, MD, USA","Parsons Corporation, Aberdeen Proving Ground, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]},{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate, MD, USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]},{"raw_affiliation_string":"Parsons Corporation, Aberdeen Proving Ground, MD, USA","institution_ids":["https://openalex.org/I1320675724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086757331","display_name":"Matthew B. Dwyer","orcid":"https://orcid.org/0000-0002-1937-1544"},"institutions":[{"id":"https://openalex.org/I166416128","display_name":"DEVCOM Army Research Laboratory","ror":"https://ror.org/011hc8f90","country_code":"US","type":"government","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I166416128","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]},{"id":"https://openalex.org/I2802705668","display_name":"United States Army Combat Capabilities Development Command","ror":"https://ror.org/02rdkx920","country_code":"US","type":"other","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802705668","https://openalex.org/I4210154437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Dwyer","raw_affiliation_strings":["DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DEVCOM Army Research Laboratory, Army Research Directorate,MD,USA","institution_ids":["https://openalex.org/I166416128","https://openalex.org/I2802705668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3840","last_page":"3846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9925000071525574,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/boosting","display_name":"Boosting (machine learning)","score":0.7415180802345276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095113396644592},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5899417996406555},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5246831774711609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5055463314056396},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4989440441131592},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4756966531276703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4420166313648224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2120589315891266},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13250961899757385},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.09559252858161926}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7415180802345276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095113396644592},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5899417996406555},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5246831774711609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5055463314056396},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4989440441131592},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4756966531276703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4420166313648224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2120589315891266},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13250961899757385},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.09559252858161926},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386633","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2070493638","https://openalex.org/W2295598076","https://openalex.org/W2787894218","https://openalex.org/W2960833983","https://openalex.org/W3138819813","https://openalex.org/W3216299549","https://openalex.org/W4248775335","https://openalex.org/W6735719987","https://openalex.org/W6799977100"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"In":[0],"the":[1,11,27,43,91,98,115,119,144,156,189,216],"realm":[2],"of":[3,5,13,29,45,94,100,111,118,146],"Internet":[4],"Things":[6],"(IoT)":[7],"systems,":[8],"accurately":[9],"forecasting":[10],"runtime":[12,57,127,207],"Inferencing":[14,32,37],"models":[15,201],"on":[16,85,155,219],"heterogeneous":[17],"devices":[18,149],"is":[19,114,135,140,150],"paramount":[20],"for":[21,55,76,167],"optimizing":[22],"resource":[23],"allocation,":[24],"particularly":[25],"in":[26,58,128,205,208],"contexts":[28],"Model":[30],"Distributed":[31,36],"(MDI)":[33],"and":[34,61,74,97,105,130,142,161,169,183,194,210,222],"Data":[35],"(DDI).":[38],"This":[39,133,212],"paper":[40,153],"delves":[41],"into":[42,188],"application":[44,117],"Gradient":[46],"Boosting":[47],"Regression":[48],"(GBR)":[49],"as":[50],"a":[51],"predictive":[52,223],"modeling":[53],"technique":[54],"estimating":[56],"both":[59],"MDI":[60,104,129,168,182,209],"DDI":[62,106,131],"scenarios.":[63],"GBR":[64,120,157],"presents":[65],"an":[66],"equitable":[67],"trade-off":[68],"between":[69,192],"interpretability,":[70],"robustness":[71],"against":[72],"noise,":[73],"suitability":[75],"moderately":[77],"sized":[78],"datasets.":[79],"The":[80,108,152,171],"study":[81],"reviews":[82],"previous":[83],"research":[84,113],"IoT":[86,220],"inference":[87],"optimization.":[88],"It":[89,185],"accentuates":[90],"multifaceted":[92],"intricacies":[93],"device":[95],"diversity":[96],"significance":[99],"model":[101,121],"interpretability":[102],"within":[103],"setups.":[107],"primary":[109],"contribution":[110],"this":[112],"novel":[116],"to":[122,215],"predict":[123],"machine":[124],"learning":[125],"inferencing":[126],"contexts.":[132],"approach":[134],"invaluable":[136],"when":[137],"empirical":[138],"data":[139],"limited":[141],"characterizing":[143],"behavior":[145],"newly":[147],"introduced":[148],"imperative.":[151],"elaborates":[154],"algorithm\u2019s":[158],"utilization,":[159],"hyperparameters,":[160],"custom":[162],"loss":[163],"functions":[164],"tailored":[165],"explicitly":[166],"DDI.":[170,184,211],"results":[172],"section":[173],"exemplifies":[174],"GBR\u2019s":[175,203],"performance":[176,197],"across":[177],"various":[178],"computational":[179],"regimes,":[180],"including":[181],"offers":[186],"insights":[187],"model\u2019s":[190],"balance":[191],"accuracy":[193],"complexity.":[195],"A":[196],"comparison":[198],"with":[199],"prior":[200],"underscores":[202],"efficacy":[204],"predicting":[206],"work":[213],"contributes":[214],"ongoing":[217],"discourse":[218],"optimization":[221],"modeling.":[224]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}