{"id":"https://openalex.org/W4391889558","doi":"https://doi.org/10.1109/comsnets59351.2024.10427257","title":"Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems","display_name":"Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4391889558","doi":"https://doi.org/10.1109/comsnets59351.2024.10427257"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets59351.2024.10427257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets59351.2024.10427257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5085307355","display_name":"Zhuangwei Kang","orcid":"https://orcid.org/0000-0002-2574-4271"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuangwei Kang","raw_affiliation_strings":["Vanderbilt University,Nashville,TN,USA,37212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Nashville,TN,USA,37212","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068794211","display_name":"Ziran Min","orcid":"https://orcid.org/0009-0006-2820-754X"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziran Min","raw_affiliation_strings":["Vanderbilt University,Nashville,TN,USA,37212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Nashville,TN,USA,37212","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007242549","display_name":"Shuang Zhou","orcid":"https://orcid.org/0000-0002-3673-0043"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuang Zhou","raw_affiliation_strings":["Vanderbilt University,Nashville,TN,USA,37212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Nashville,TN,USA,37212","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002363659","display_name":"Yogesh Barve","orcid":"https://orcid.org/0000-0003-0702-6089"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yogesh D. Barve","raw_affiliation_strings":["Vanderbilt University,Nashville,TN,USA,37212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Nashville,TN,USA,37212","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051605434","display_name":"Aniruddha Gokhale","orcid":"https://orcid.org/0000-0002-7706-7102"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aniruddha Gokhale","raw_affiliation_strings":["Vanderbilt University,Nashville,TN,USA,37212"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vanderbilt University,Nashville,TN,USA,37212","institution_ids":["https://openalex.org/I200719446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200719446"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8640000224113464,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8640000224113464,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7389000058174133,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.7361000180244446,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/cloud-computing","display_name":"Cloud computing","score":0.7167561650276184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7067625522613525},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5069156289100647},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32154446840286255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28846415877342224},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.148929625749588}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7167561650276184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067625522613525},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5069156289100647},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32154446840286255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28846415877342224},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.148929625749588}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets59351.2024.10427257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comsnets59351.2024.10427257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1494198834","https://openalex.org/W1543180643","https://openalex.org/W2103088010","https://openalex.org/W2108598243","https://openalex.org/W2234395665","https://openalex.org/W2322228484","https://openalex.org/W2612292411","https://openalex.org/W2884702064","https://openalex.org/W2889985731","https://openalex.org/W2894112326","https://openalex.org/W2901990464","https://openalex.org/W2903451134","https://openalex.org/W2985313082","https://openalex.org/W3005665451","https://openalex.org/W3033610197","https://openalex.org/W3048346032","https://openalex.org/W3099319035","https://openalex.org/W3188301248","https://openalex.org/W3197816522","https://openalex.org/W3208743843","https://openalex.org/W4207000751","https://openalex.org/W4283371092","https://openalex.org/W4289655436","https://openalex.org/W4295832160","https://openalex.org/W4304114403","https://openalex.org/W6675403049","https://openalex.org/W6754740446","https://openalex.org/W6756668738","https://openalex.org/W6774103200"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,106,156,182],"the":[4,21,31,114,123,149,152,157,170],"critical":[5],"role":[6],"of":[7,99,116,163],"data":[8,11,37,60,68,79,86,125,138,150,179],"locality":[9],"and":[10,59,81,140,151,167,172,194],"loading":[12,82,87,141],"optimizations":[13],"for":[14,70,169],"serverless":[15,47],"Deep":[16],"Learning":[17],"(DL)":[18],"platforms.":[19],"With":[20],"rapid":[22],"advancements":[23],"in":[24,146],"GPU":[25,109],"computational":[26],"capabilities,":[27],"I/O":[28,92],"bottlenecks":[29,93],"at":[30],"CPU":[32],"are":[33],"increasingly":[34],"leading":[35],"to":[36,84,130,133,165],"stalls.":[38],"To":[39],"address":[40],"this":[41],"issue,":[42],"we":[43,74],"present":[44],"a":[45,55,76,96],"novel":[46],"DL":[48,71,153],"platform,":[49],"CNDLSys,":[50],"which":[51],"is":[52,180],"equipped":[53],"with":[54],"cooperative":[56],"job":[57],"schedule":[58],"placement":[61],"(CSP)":[62],"strategy":[63],"that":[64],"ensures":[65],"maximal":[66],"local":[67,124],"retrievals":[69],"applications.":[72],"Furthermore,":[73],"introduce":[75],"runtime-aware":[77],"online":[78],"merging":[80,139],"method":[83],"boost":[85],"throughput":[88,147,188],"by":[89,128,189],"efficiently":[90],"eliminating":[91],"when":[94,148],"reading":[95],"large":[97],"number":[98],"small":[100],"files.":[101],"The":[102],"experimental":[103],"results":[104],"conducted":[105],"large-scale,":[107],"real-world":[108],"cluster":[110],"workload":[111],"traces":[112],"underscore":[113],"efficacy":[115],"our":[117,185],"CSP":[118],"strategy.":[119],"CNDLSys":[120],"significantly":[121],"improves":[122],"hit":[126],"rate":[127],"up":[129,164],"16.5%":[131],"compared":[132],"Bin-packing":[134],"algorithms.":[135],"Moreover,":[136],"its":[137],"techniques":[142],"show":[143],"notable":[144],"enhancements":[145],"application":[154],"reside":[155],"same":[158],"node,":[159],"achieving":[160],"an":[161],"improvement":[162],"48.89%":[166],"3.05%":[168],"ImageNet":[171],"LibriSpeech":[173],"datasets,":[174],"respectively.":[175,196],"In":[176],"scenarios":[177],"where":[178],"located":[181],"remote":[183],"nodes,":[184],"approach":[186],"boosts":[187],"as":[190,192],"much":[191],"62.41%":[193],"8.91%,":[195]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}