{"id":"https://openalex.org/W6891840481","doi":"https://doi.org/10.48550/arxiv.2310.03906","title":"PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability","display_name":"PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability","publication_year":2023,"publication_date":"2023-10-05","ids":{"openalex":"https://openalex.org/W6891840481","doi":"https://doi.org/10.48550/arxiv.2310.03906"},"language":"en","primary_location":{"id":"doi:10.48550/arxiv.2310.03906","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.03906","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":"article-journal"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2310.03906","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Naug, Avisek","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naug, Avisek","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Guillen, Antonio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guillen, Antonio","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Guti\u00e9rrez, Ricardo Luna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guti\u00e9rrez, Ricardo Luna","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Gundecha, Vineet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gundecha, Vineet","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Markovikj, Dejan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Markovikj, Dejan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Kashyap, Lekhapriya Dheeraj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kashyap, Lekhapriya Dheeraj","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Krause, Lorenz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Krause, Lorenz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ghorbanpour, Sahand","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghorbanpour, Sahand","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Mousavi, Sajad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mousavi, Sajad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Babu, Ashwin Ramesh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Babu, Ashwin Ramesh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Sarkar, Soumyendu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sarkar, Soumyendu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"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":true,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.7609999775886536,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.7609999775886536,"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"}},{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.07599999755620956,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.03310000151395798,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/data-center","display_name":"Data center","score":0.9089000225067139},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6868000030517578},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5309000015258789},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5282999873161316},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5148000121116638},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4471000134944916},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4156999886035919},{"id":"https://openalex.org/keywords/center","display_name":"Center (category theory)","score":0.3930000066757202},{"id":"https://openalex.org/keywords/energy-modeling","display_name":"Energy modeling","score":0.36039999127388},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.35519999265670776}],"concepts":[{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.9089000225067139},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6868000030517578},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5760999917984009},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5282999873161316},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5148000121116638},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4471000134944916},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3950999975204468},{"id":"https://openalex.org/C2779463800","wikidata":"https://www.wikidata.org/wiki/Q5062222","display_name":"Center (category theory)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C2780331096","wikidata":"https://www.wikidata.org/wiki/Q24965464","display_name":"Energy modeling","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.3490000069141388},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3402999937534332},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3224000036716461},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.3156999945640564},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3116999864578247},{"id":"https://openalex.org/C114834414","wikidata":"https://www.wikidata.org/wiki/Q15477170","display_name":"Thermal management of electronic devices and systems","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C32833848","wikidata":"https://www.wikidata.org/wiki/Q4115054","display_name":"Extensibility","level":2,"score":0.299699991941452},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C135402231","wikidata":"https://www.wikidata.org/wiki/Q898440","display_name":"Dissipation","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C34585555","wikidata":"https://www.wikidata.org/wiki/Q1368723","display_name":"Learning curve","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26429998874664307},{"id":"https://openalex.org/C2777466363","wikidata":"https://www.wikidata.org/wiki/Q17008971","display_name":"Design tool","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C75027835","wikidata":"https://www.wikidata.org/wiki/Q1064746","display_name":"Green computing","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C177454536","wikidata":"https://www.wikidata.org/wiki/Q578290","display_name":"Emphasis (telecommunications)","level":2,"score":0.2590000033378601},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.2572999894618988},{"id":"https://openalex.org/C2777532764","wikidata":"https://www.wikidata.org/wiki/Q31855","display_name":"Research center","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C2984843768","wikidata":"https://www.wikidata.org/wiki/Q864855","display_name":"Georgia tech","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2310.03906","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.03906","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":"article-journal"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2310.03906","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2310.03906","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":"article-journal"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.41891640424728394,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,126],"increasing":[1],"global":[2],"emphasis":[3],"on":[4],"sustainability":[5],"and":[6,13,23,30,50,66,87,120,146,172],"reducing":[7],"carbon":[8],"emissions":[9],"is":[10,60],"pushing":[11],"governments":[12],"corporations":[14],"to":[15,19,109,167],"rethink":[16],"their":[17,26],"approach":[18],"data":[20,35,69,169,180],"center":[21,70,170,181],"design":[22,182],"operation.":[24],"Given":[25],"high":[27],"energy":[28,52],"consumption":[29],"exponentially":[31],"large":[32],"computational":[33],"workloads,":[34],"centers":[36,78],"are":[37],"prime":[38],"candidates":[39],"for":[40,177],"optimizing":[41],"power":[42],"consumption,":[43],"especially":[44],"in":[45,57,104],"areas":[46],"such":[47],"as":[48],"cooling":[49,171],"IT":[51,82,114,124],"usage.":[53],"A":[54],"significant":[55],"challenge":[56],"this":[58],"pursuit":[59],"the":[61,150,157,164],"lack":[62],"of":[63,80,113,123,128,135,152,159],"a":[64,98,174],"configurable":[65],"scalable":[67],"thermal":[68,91,130],"model":[71],"that":[72,106],"offers":[73,173],"an":[74],"end-to-end":[75],"pipeline.":[76],"Data":[77,100],"consist":[79],"multiple":[81],"components":[83],"whose":[84],"geometric":[85,121],"configuration":[86],"heat":[88],"dissipation":[89],"make":[90],"modeling":[92,144],"difficult.":[93],"This":[94],"paper":[95],"presents":[96],"PyDCM,":[97],"customizable":[99],"Center":[101],"Model":[102],"implemented":[103],"Python,":[105],"allows":[107],"users":[108],"create":[110],"unique":[111],"configurations":[112],"equipment":[115],"with":[116,149],"custom":[117],"server":[118],"specifications":[119],"arrangements":[122],"cabinets.":[125],"use":[127,158],"vectorized":[129],"calculations":[131],"makes":[132],"PyDCM":[133,155],"orders":[134],"magnitude":[136],"faster":[137],"(30":[138],"times)":[139],"than":[140],"current":[141],"Energy":[142],"Plus":[143],"implementations":[145],"scales":[147],"sublinearly":[148],"number":[151],"CPUs.":[153],"Also,":[154],"enables":[156],"Deep":[160],"Reinforcement":[161],"Learning":[162],"via":[163],"Gymnasium":[165],"wrapper":[166],"optimize":[168],"user-friendly":[175],"platform":[176],"testing":[178],"various":[179],"prototypes.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}