{"id":"https://openalex.org/W7129097838","doi":"https://doi.org/10.1109/mascots67699.2025.11283387","title":"CAPLAI: AI-assisted Lifecycle Provisioning for GPU data centers","display_name":"CAPLAI: AI-assisted Lifecycle Provisioning for GPU data centers","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W7129097838","doi":"https://doi.org/10.1109/mascots67699.2025.11283387"},"language":null,"primary_location":{"id":"doi:10.1109/mascots67699.2025.11283387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots67699.2025.11283387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 33rd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)","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/A5112603964","display_name":"Chengyi Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chengyi Nie","raw_affiliation_strings":["Stony Brook University,Stony Brook,NY,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Stony Brook,NY,USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118378209","display_name":"Anna Xing","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106766","display_name":"ReliaCoat Technologies (United States)","ror":"https://ror.org/01mart011","country_code":"US","type":"company","lineage":["https://openalex.org/I4210106766"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Xing","raw_affiliation_strings":["Ward Melville High School,East Setauket,NY,USA"],"affiliations":[{"raw_affiliation_string":"Ward Melville High School,East Setauket,NY,USA","institution_ids":["https://openalex.org/I4210106766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126168569","display_name":"Imran Latif","orcid":null},"institutions":[{"id":"https://openalex.org/I200870766","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I200870766","https://openalex.org/I39565521","https://openalex.org/I4210142672"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imran Latif","raw_affiliation_strings":["Brookhaven National Laboratory,Upton,NY,USA"],"affiliations":[{"raw_affiliation_string":"Brookhaven National Laboratory,Upton,NY,USA","institution_ids":["https://openalex.org/I200870766"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126096577","display_name":"Zhenhua Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenhua Liu","raw_affiliation_strings":["Stony Brook University,Stony Brook,NY,USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University,Stony Brook,NY,USA","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112603964"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87880613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.532800018787384,"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":0.532800018787384,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.3043000102043152,"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"}},{"id":"https://openalex.org/T10998","display_name":"Heat Transfer and Optimization","score":0.017799999564886093,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.6406999826431274},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.609499990940094},{"id":"https://openalex.org/keywords/upgrade","display_name":"Upgrade","score":0.5774999856948853},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.5626999735832214},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5232999920845032},{"id":"https://openalex.org/keywords/demand-response","display_name":"Demand response","score":0.48080000281333923},{"id":"https://openalex.org/keywords/capacity-planning","display_name":"Capacity planning","score":0.43849998712539673},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4251999855041504},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.3862999975681305},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3831999897956848}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956999897956848},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.6406999826431274},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.609499990940094},{"id":"https://openalex.org/C2780615140","wikidata":"https://www.wikidata.org/wiki/Q920419","display_name":"Upgrade","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5232999920845032},{"id":"https://openalex.org/C2779438525","wikidata":"https://www.wikidata.org/wiki/Q5255048","display_name":"Demand response","level":3,"score":0.48080000281333923},{"id":"https://openalex.org/C2781007418","wikidata":"https://www.wikidata.org/wiki/Q1456934","display_name":"Capacity planning","level":2,"score":0.43849998712539673},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39750000834465027},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C118993495","wikidata":"https://www.wikidata.org/wiki/Q5042828","display_name":"Electrical efficiency","level":3,"score":0.3727000057697296},{"id":"https://openalex.org/C172430144","wikidata":"https://www.wikidata.org/wiki/Q17111997","display_name":"Symmetric multiprocessor system","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C50630238","wikidata":"https://www.wikidata.org/wiki/Q971505","display_name":"General-purpose computing on graphics processing units","level":3,"score":0.3555000126361847},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35429999232292175},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C2778434605","wikidata":"https://www.wikidata.org/wiki/Q2445479","display_name":"Total cost of ownership","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3091999888420105},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.30169999599456787},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C2776221188","wikidata":"https://www.wikidata.org/wiki/Q21072556","display_name":"Design space exploration","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C120330832","wikidata":"https://www.wikidata.org/wiki/Q166656","display_name":"Supply and demand","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.2639999985694885},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mascots67699.2025.11283387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots67699.2025.11283387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 33rd International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6451104283332825,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"accelerating":[1],"deployment":[2],"of":[3,32],"artificial":[4],"intelligence":[5],"(AI)":[6],"workloads,":[7],"driven":[8],"by":[9,203,213],"recent":[10],"advancements":[11,81],"in":[12,96,117],"AI":[13,92,107,178],"technology,":[14],"has":[15],"significantly":[16,73,224],"increased":[17],"the":[18,27,38,193,199,230],"demand":[19,49,137,232],"for":[20,106,114],"computing":[21,196],"resources":[22],"and":[23,29,53,68,99,131,144,161,172,208,227,233],"supporting":[24],"infrastructure.":[25],"However,":[26],"physical":[28,97],"electrical":[30],"capacity":[31,197],"data":[33,87,119,179],"centers":[34,88],"cannot":[35],"scale":[36],"at":[37,181],"same":[39,200],"pace,":[40],"which":[41],"introduces":[42],"a":[43,152,176],"new":[44],"challenge:":[45],"accommodating":[46],"rising":[47],"compute":[48],"under":[50],"stringent":[51],"power":[52,62,100,201],"space":[54],"constraints.":[55],"New":[56],"high":[57],"performance":[58],"GPUs":[59],"offer":[60],"better":[61],"efficiency":[63,140,226],"compared":[64],"to":[65,85,128,186,205,215],"previous":[66],"generations,":[67],"liquid":[69],"cooling":[70,162],"systems":[71],"are":[72],"more":[74,91],"efficient":[75],"than":[76],"traditional":[77],"air":[78],"cooling.":[79],"These":[80,148],"create":[82],"an":[83,109],"opportunity":[84],"upgrade":[86],"that":[89,135,156,220],"accommodate":[90],"workloads":[93],"with":[94,229],"limitations":[95],"infrastructure":[98,163],"availability.We":[101],"propose":[102],"CAPLAI,":[103],"Capacity-Aware":[104],"PLanning":[105],"infrastructure,":[108],"AI-assisted":[110],"stochastic":[111,153],"optimization":[112,154],"framework":[113,168],"lifecycle":[115,210],"planning":[116,223],"GPU":[118,158,195],"centers.":[120],"Our":[121],"method":[122],"adopts":[123],"large":[124],"language":[125],"models":[126],"(llMs)":[127],"generate":[129],"diverse":[130],"plausible":[132],"future":[133],"scenarios":[134,149],"capture":[136],"growth,":[138],"hardware":[139],"decay,":[141],"electricity":[142],"prices,":[143],"resale":[145],"market":[146],"trends.":[147],"feed":[150],"into":[151],"model":[155],"determines":[157],"purchase,":[159],"retirement,":[160],"upgrades.":[164],"We":[165],"evaluate":[166],"our":[167,190],"using":[169],"real-world":[170],"traces":[171],"constraints":[173],"derived":[174],"from":[175],"large-scale":[177],"center":[180],"Brookhaven":[182],"National":[183],"Lab.":[184],"Compared":[185],"conventional":[187],"threshold-based":[188],"heuristics,":[189],"approach":[191],"increases":[192],"effective":[194],"within":[198],"limit":[202],"up":[204,214],"36":[206],"%":[207],"reduces":[209],"operating":[211],"cost":[212],"32":[216],"%.":[217],"Results":[218],"demonstrate":[219],"capacityaware,":[221],"AI-guided":[222],"enhances":[225],"robustness":[228],"escalating":[231],"infrastructural":[234],"limits.":[235]},"counts_by_year":[],"updated_date":"2026-02-18T06:20:13.636215","created_date":"2026-02-17T00:00:00"}
