{"id":"https://openalex.org/W4405361796","doi":"https://doi.org/10.1109/mascots64422.2024.10786549","title":"Cloud Reamer: Enabling Inference Services in Training Clusters","display_name":"Cloud Reamer: Enabling Inference Services in Training Clusters","publication_year":2024,"publication_date":"2024-10-21","ids":{"openalex":"https://openalex.org/W4405361796","doi":"https://doi.org/10.1109/mascots64422.2024.10786549"},"language":"en","primary_location":{"id":"doi:10.1109/mascots64422.2024.10786549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots64422.2024.10786549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd International Conference 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/A5101592360","display_name":"Osama Khan","orcid":"https://orcid.org/0009-0001-0380-5678"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Osama Khan","raw_affiliation_strings":["Sungkyunkwan University,Suwon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017725911","display_name":"Gwanjong Park","orcid":"https://orcid.org/0009-0005-7369-3949"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gwanjong Park","raw_affiliation_strings":["Sungkyunkwan University,Suwon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072409365","display_name":"Junyeol Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junyeol Yu","raw_affiliation_strings":["Sungkyunkwan University,Suwon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062665275","display_name":"Euiseong Seo","orcid":"https://orcid.org/0000-0003-2103-8019"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Euiseong Seo","raw_affiliation_strings":["Sungkyunkwan University,Suwon,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University,Suwon,Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101592360"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3634522,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9603000283241272,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9549999833106995,"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/reamer","display_name":"Reamer","score":0.8622426986694336},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8504503965377808},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6537095904350281},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6486493349075317},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6411681175231934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3718551993370056},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.20677030086517334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16852596402168274},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.058682024478912354}],"concepts":[{"id":"https://openalex.org/C2778163807","wikidata":"https://www.wikidata.org/wiki/Q863835","display_name":"Reamer","level":2,"score":0.8622426986694336},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8504503965377808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6537095904350281},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6486493349075317},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6411681175231934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3718551993370056},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.20677030086517334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16852596402168274},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.058682024478912354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mascots64422.2024.10786549","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots64422.2024.10786549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd International Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2069370182","https://openalex.org/W2194775991","https://openalex.org/W2794670651","https://openalex.org/W2926143647","https://openalex.org/W2929502194","https://openalex.org/W2963163009","https://openalex.org/W3017091196","https://openalex.org/W3043571714","https://openalex.org/W3144271226","https://openalex.org/W4312432406","https://openalex.org/W4366957282","https://openalex.org/W4385731844","https://openalex.org/W6637373629","https://openalex.org/W6640090968","https://openalex.org/W6754777574","https://openalex.org/W6755207826","https://openalex.org/W6758283263","https://openalex.org/W6759814162","https://openalex.org/W6790753826","https://openalex.org/W7067822191"],"related_works":["https://openalex.org/W2347716245","https://openalex.org/W2380380005","https://openalex.org/W2110193938","https://openalex.org/W2891264341","https://openalex.org/W2351888543","https://openalex.org/W2030998933","https://openalex.org/W2030796471","https://openalex.org/W2297859717","https://openalex.org/W2371263984","https://openalex.org/W2085035069"],"abstract_inverted_index":{"CPU":[0,25,75,125],"cores":[1,93,106],"in":[2],"GPU":[3,71],"servers":[4],"are":[5],"often":[6],"underutilized":[7],"during":[8],"DNN":[9,16],"training.":[10,79],"Co-locating":[11],"CPU-based":[12],"inference":[13,51,68,116,133,157,166],"tasks":[14,69,84],"with":[15,135],"training":[17,37,66,83,141],"offers":[18],"an":[19],"opportunity":[20],"to":[21,36,64,85,94,107,168],"utilize":[22],"these":[23],"idle":[24],"cycles.":[26],"However,":[27],"three":[28],"technical":[29],"challenges":[30],"must":[31],"be":[32],"addressed:":[33],"avoiding":[34],"disruption":[35],"workloads,":[38],"meeting":[39],"different":[40],"performance":[41,117],"requirements":[42,150],"for":[43,99,151,155,164],"online":[44,89,113,156],"and":[45,48,67,114,158],"offline":[46,100,115,165],"inference,":[47,90,101],"swiftly":[49],"adjusting":[50,120],"configurations":[52,121],"based":[53,122],"on":[54,70,123,138],"available":[55,105],"resources.":[56,126],"This":[57],"paper":[58],"proposes":[59],"Cloud":[60,80,110,130],"Reamer,":[61],"a":[62,160],"scheme":[63],"colocate":[65],"servers,":[72],"optimizing":[73],"unused":[74],"cycles":[76],"without":[77],"disrupting":[78],"Reamer":[81,111,131],"prioritizes":[82],"minimize":[86],"interference.":[87],"For":[88],"it":[91,102],"allocates":[92],"ensure":[95],"predictable":[96],"performance,":[97],"while":[98],"uses":[103],"all":[104],"maximize":[108],"throughput.":[109],"enhances":[112],"by":[118],"dynamically":[119],"surplus":[124],"Evaluations":[127],"show":[128],"that":[129],"improves":[132],"throughput":[134,162],"minimal":[136],"impact":[137],"training,":[139],"maintaining":[140],"interference":[142],"below":[143],"$\\mathbf{3.":[144],"2":[145],"\\%}$.":[146],"It":[147],"meets":[148],"latency":[149],"46%":[152],"more":[153],"requests":[154],"achieves":[159],"61x":[161],"increase":[163],"compared":[167],"conventional":[169],"methods.":[170]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
