{"id":"https://openalex.org/W4410049332","doi":"https://doi.org/10.1145/3680256.3721313","title":"DMML: A Machine-learning Performance Model for Data Migration","display_name":"DMML: A Machine-learning Performance Model for Data Migration","publication_year":2025,"publication_date":"2025-05-03","ids":{"openalex":"https://openalex.org/W4410049332","doi":"https://doi.org/10.1145/3680256.3721313"},"language":"en","primary_location":{"id":"doi:10.1145/3680256.3721313","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680256.3721313","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 16th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3680256.3721313","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117419859","display_name":"Hasti Ghaneshirazi","orcid":null},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hasti Ghaneshirazi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0004-6861-7223","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5096802577","display_name":"Fares Hamouda","orcid":"https://orcid.org/0009-0002-0518-4008"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fares Hamouda","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0002-0518-4008","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085719291","display_name":"Marios Fokaefs","orcid":"https://orcid.org/0000-0003-3623-5015"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marios Fokaefs","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3623-5015","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039188912","display_name":"Wejdene Haouari","orcid":"https://orcid.org/0000-0003-2960-8629"},"institutions":[{"id":"https://openalex.org/I4210113654","display_name":"IBM (Canada)","ror":"https://ror.org/025sxka56","country_code":"CA","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113654"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wejdene Haouari","raw_affiliation_strings":["IBM, Markham, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2960-8629","affiliations":[{"raw_affiliation_string":"IBM, Markham, ON, Canada","institution_ids":["https://openalex.org/I4210113654"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5096773465","display_name":"Dariusz Jania","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dariusz Jania","raw_affiliation_strings":["IBM, Krak\u00f3w, Poland"],"raw_orcid":"https://orcid.org/0009-0000-8533-0612","affiliations":[{"raw_affiliation_string":"IBM, Krak\u00f3w, Poland","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5117419859"],"corresponding_institution_ids":["https://openalex.org/I192455969"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08606705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"136","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","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/T11719","display_name":"Data Quality and Management","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524760961532593},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4647570848464966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4009988009929657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34849920868873596},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1231003999710083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524760961532593},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4647570848464966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4009988009929657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34849920868873596},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1231003999710083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3680256.3721313","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680256.3721313","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 16th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3680256.3721313","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680256.3721313","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 16th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7799999713897705,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W10347369","https://openalex.org/W1971155179","https://openalex.org/W1976793531","https://openalex.org/W2104105007","https://openalex.org/W2112081648","https://openalex.org/W2295598076","https://openalex.org/W2760528149","https://openalex.org/W2999615587","https://openalex.org/W3028859717","https://openalex.org/W4233463412","https://openalex.org/W4255327858","https://openalex.org/W4298351849","https://openalex.org/W4401361143"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Data":[0],"migration":[1,44,98],"at":[2],"scale":[3],"can":[4,31],"be":[5,18],"a":[6,81],"daunting":[7],"task.":[8],"It":[9],"may":[10,28],"require":[11],"significant":[12],"resources":[13],"and":[14,38,46,55,83,107,117,138,150],"time,":[15,53],"which":[16,30],"must":[17],"taken":[19],"from":[20],"value-adding":[21],"activities":[22],"of":[23,35,68,121],"an":[24,154],"enterprise.":[25],"Besides":[26],"errors":[27],"occur,":[29],"jeopardize":[32],"the":[33,36,66,119,125,132,135,141,146],"integrity":[34],"data":[37,43,59,76,90,97,102,108],"waste":[39],"resources.":[40],"Accurately":[41],"estimating":[42],"time":[45],"resource":[47],"performance":[48,73],"is":[49,134],"critical":[50],"for":[51,75,89],"optimizing":[52],"cost,":[54],"risk":[56],"in":[57,124],"large-scale":[58],"transfers.":[60],"In":[61],"this":[62],"paper,":[63],"we":[64],"propose":[65],"use":[67],"machine":[69],"learning":[70],"to":[71,92],"create":[72],"models":[74],"migration.":[77],"We":[78,111,144],"utilize":[79],"DMBench,":[80],"benchmarking":[82],"load":[84],"testing":[85],"tool":[86],"specifically":[87],"tailored":[88],"migrations,":[91],"generate":[93],"data,":[94],"simulating":[95],"various":[96],"scenarios":[99],"with":[100,113],"different":[101,142],"sizes,":[103],"vCPUs,":[104],"RAM":[105],"size,":[106],"compression":[109],"types.":[110],"experimented":[112],"multiple":[114],"ML":[115],"algorithms":[116],"showed":[118],"effect":[120],"hyperparameter":[122],"tuning":[123],"model's":[126],"accuracy.":[127],"Our":[128],"results":[129],"show":[130],"that":[131],"XGBoost":[133],"most":[136],"accurate":[137],"consistent":[139],"across":[140],"scenarios.":[143],"demonstrate":[145],"model":[147],"building":[148],"process":[149],"its":[151],"evaluation":[152],"on":[153],"industrial":[155],"case":[156],"study.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
