{"id":"https://openalex.org/W7154348292","doi":"https://doi.org/10.48550/arxiv.2604.11445","title":"OpenDT: Exploring Datacenter Performance and Sustainability with a Self-Calibrating Digital Twin -- Technical Report","display_name":"OpenDT: Exploring Datacenter Performance and Sustainability with a Self-Calibrating Digital Twin -- Technical Report","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154348292","doi":"https://doi.org/10.48550/arxiv.2604.11445"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.11445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11445","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.11445","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133589311","display_name":"Radu Nicolae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolae, Radu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039283823","display_name":"Jules van der Toorn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"van der Toorn, Jules","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133590870","display_name":"Stavriana Kraniti","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kraniti, Stavriana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Houcen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Houcen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133563150","display_name":"Alexandru Iosup","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iosup, Alexandru","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.26440000534057617,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.26440000534057617,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.12860000133514404,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1006999984383583,"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/telemetry","display_name":"Telemetry","score":0.6333000063896179},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.483599990606308},{"id":"https://openalex.org/keywords/aviation","display_name":"Aviation","score":0.4041000008583069},{"id":"https://openalex.org/keywords/digital-data","display_name":"Digital data","score":0.40230000019073486},{"id":"https://openalex.org/keywords/information-and-communications-technology","display_name":"Information and Communications Technology","score":0.3955000042915344},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.37279999256134033}],"concepts":[{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.6333000063896179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5248000025749207},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.483599990606308},{"id":"https://openalex.org/C74448152","wikidata":"https://www.wikidata.org/wiki/Q765633","display_name":"Aviation","level":2,"score":0.4041000008583069},{"id":"https://openalex.org/C2778864079","wikidata":"https://www.wikidata.org/wiki/Q173285","display_name":"Digital data","level":3,"score":0.40230000019073486},{"id":"https://openalex.org/C67363961","wikidata":"https://www.wikidata.org/wiki/Q5268834","display_name":"Information and Communications Technology","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3853999972343445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3776000142097473},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C192278026","wikidata":"https://www.wikidata.org/wiki/Q4915350","display_name":"Biotelemetry","level":3,"score":0.28279998898506165},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2694000005722046}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.11445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11445","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.11445","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11445","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6283286213874817}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Datacenters":[0],"are":[1],"the":[2,63,104,131,147],"backbone":[3],"of":[4,130,166],"our":[5],"digital":[6,15,50,54],"society,":[7],"but":[8],"raise":[9],"numerous":[10],"operational":[11,29],"challenges.":[12],"We":[13],"envision":[14],"twins":[16],"becoming":[17],"primary":[18],"instruments":[19],"in":[20,170],"datacenter":[21],"operations,":[22],"continuously":[23],"and":[24,31,45,71,81,93,109,112,128,145,151,178],"autonomously":[25],"helping":[26],"with":[27,32,37,107,121,149],"major":[28],"decisions":[30],"adapting":[33],"ICT":[34],"infrastructure,":[35],"live,":[36],"a":[38,85,122,164],"human-in-the-loop.":[39],"Although":[40],"fields":[41],"such":[42],"as":[43],"aviation":[44],"autonomous":[46],"driving":[47],"successfully":[48],"employ":[49],"twins,":[51],"an":[52,75],"open-source":[53],"twin":[55],"for":[56,79],"datacenters":[57,83],"has":[58],"not":[59],"been":[60],"demonstrated":[61],"to":[62,115,141,163,175],"community.":[64],"Addressing":[65],"this":[66],"challenge,":[67],"we":[68,133],"design,":[69],"implement,":[70],"experiment":[72],"using":[73,100],"OpenDT,":[74],"Open-source,":[76],"Digital":[77],"Twin":[78],"monitoring":[80],"operating":[82],"through":[84],"continuous":[86,94],"integration":[87],"cycle":[88],"that":[89,135],"includes:":[90],"(1)":[91],"live":[92,101],"telemetry":[95,102],"data;":[96],"(2)":[97],"discrete-event":[98],"simulation":[99],"from":[103],"physical":[105,116],"ICT,":[106],"self-calibration;":[108],"(3)":[110],"SLO-aware":[111],"human-approved":[113],"feedback":[114],"ICT.":[117],"Through":[118],"trace-driven":[119],"experiments":[120,144],"prototype":[123],"mainly":[124],"covering":[125],"stages":[126],"1":[127],"2":[129],"cycle,":[132],"show":[134],"(i)":[136],"OpenDT":[137,173],"can":[138,158],"be":[139],"used":[140],"reproduce":[142],"peer-reviewed":[143,171],"extend":[146],"analysis":[148],"performance":[150],"energy-efficiency":[152],"results;":[153],"(ii)":[154],"OpenDT's":[155],"online":[156],"re-calibration":[157],"increase":[159],"digital-twinning":[160],"accuracy,":[161],"quantified":[162],"MAPE":[165],"4.39%":[167],"vs.":[168],"7.86%":[169],"work.":[172],"adheres":[174],"FAIR/FOSS":[176],"principles":[177],"is":[179],"available":[180],"at:":[181],"https://github.com/atlarge-research/opendt/tree/hcp.":[182]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-15T00:00:00"}