{"id":"https://openalex.org/W4400081686","doi":"https://doi.org/10.1145/3655038.3665947","title":"A Selective Preprocessing Offloading Framework for Reducing Data Traffic in DL Training","display_name":"A Selective Preprocessing Offloading Framework for Reducing Data Traffic in DL Training","publication_year":2024,"publication_date":"2024-06-27","ids":{"openalex":"https://openalex.org/W4400081686","doi":"https://doi.org/10.1145/3655038.3665947"},"language":"en","primary_location":{"id":"doi:10.1145/3655038.3665947","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3655038.3665947","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3655038.3665947","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073187668","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-0970-6558"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-0970-6558","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238","https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098944530","display_name":"Gus Waldspurger","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gus Waldspurger","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"raw_orcid":"https://orcid.org/0000-0002-3673-2524","affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238","https://openalex.org/I40347166"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099587073","display_name":"Swaminathan Sundararaman","orcid":"https://orcid.org/0000-0003-4468-3061"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Swaminathan Sundararaman","raw_affiliation_strings":["IBM Research, San Jose, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4468-3061","affiliations":[{"raw_affiliation_string":"IBM Research, San Jose, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"63","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9966999888420105,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9954000115394592,"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/T13553","display_name":"Age of Information Optimization","score":0.9948999881744385,"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/computer-science","display_name":"Computer science","score":0.7827588319778442},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.675506055355072},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.48292919993400574},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4162517488002777},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37726283073425293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36381617188453674},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33244943618774414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7827588319778442},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.675506055355072},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.48292919993400574},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4162517488002777},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37726283073425293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36381617188453674},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33244943618774414},{"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":5,"locations":[{"id":"doi:10.1145/3655038.3665947","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3655038.3665947","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:uchicago.tind.io:12778","is_oa":true,"landing_page_url":"http://knowledge.uchicago.edu/record/12778","pdf_url":null,"source":{"id":"https://openalex.org/S4306402460","display_name":"Knowledge@UChicago (University of Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40347166","host_organization_name":"University of Chicago","host_organization_lineage":["https://openalex.org/I40347166"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://knowledge.uchicago.edu/record/12778","raw_type":"Text"},{"id":"pmh:doi:10.6082/e2xyg-zrs55","is_oa":true,"landing_page_url":"https://knowledge.uchicago.edu/communities/physical-sciences-division/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.6082/e2xyg-zrs55","is_oa":true,"landing_page_url":"https://doi.org/10.6082/e2xyg-zrs55","pdf_url":null,"source":{"id":"https://openalex.org/S7407053018","display_name":"University of Chicago","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"},{"id":"doi:10.6082/tkn2g-g2834","is_oa":true,"landing_page_url":"https://doi.org/10.6082/tkn2g-g2834","pdf_url":null,"source":{"id":"https://openalex.org/S7407053018","display_name":"University of Chicago","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.1145/3655038.3665947","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3655038.3665947","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Workshop on Hot Topics in Storage and File Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2273567166","display_name":null,"funder_award_id":"CCF-2119184, CNS-2027170","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2143612262","https://openalex.org/W2163605009","https://openalex.org/W2899071864","https://openalex.org/W2948438818","https://openalex.org/W2963296235","https://openalex.org/W2977730164","https://openalex.org/W3005665451","https://openalex.org/W3022298203","https://openalex.org/W3043413334","https://openalex.org/W3048346032","https://openalex.org/W3130440674","https://openalex.org/W3182050489","https://openalex.org/W3203073639","https://openalex.org/W3206418153","https://openalex.org/W4220938834","https://openalex.org/W4281657584","https://openalex.org/W4281810104","https://openalex.org/W4290991121","https://openalex.org/W4323343904","https://openalex.org/W4372261197","https://openalex.org/W4381328603","https://openalex.org/W4386075570","https://openalex.org/W4388031337","https://openalex.org/W4388041378","https://openalex.org/W6601566401","https://openalex.org/W6677660805","https://openalex.org/W6687483927","https://openalex.org/W6784871562"],"related_works":["https://openalex.org/W230091440","https://openalex.org/W2233261550","https://openalex.org/W2810751659","https://openalex.org/W258997015","https://openalex.org/W2997094352","https://openalex.org/W3216976533","https://openalex.org/W100620283","https://openalex.org/W2495260952","https://openalex.org/W4394050964","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"(DL)":[2],"training":[3,85,97],"is":[4],"data-intensive":[5],"and":[6,46,75,96],"often":[7],"bottlenecked":[8],"by":[9,99],"fetching":[10],"data":[11,22,34,70,94],"from":[12],"remote":[13,30],"storage.":[14],"Recognizing":[15],"that":[16,57,90],"many":[17],"samples'":[18],"sizes":[19],"diminish":[20],"during":[21],"preprocessing,":[23],"we":[24],"explore":[25],"selectively":[26,58],"offloading":[27],"preprocessing":[28,60],"to":[29,32,41,68,78],"storage":[31],"mitigate":[33],"traffic.":[35],"We":[36,51],"conduct":[37],"a":[38,55,63],"case":[39],"study":[40],"uncover":[42],"the":[43],"potential":[44],"benefits":[45],"challenges":[47],"of":[48],"this":[49],"approach.":[50],"then":[52],"propose":[53],"SOPHON,":[54],"framework":[56],"offloads":[59],"tasks":[61],"at":[62],"fine":[64],"granularity":[65],"in":[66,83],"order":[67],"reduce":[69,93],"traffic,":[71],"utilizing":[72],"online":[73],"profiling":[74],"adaptive":[76],"algorithms":[77],"optimize":[79],"for":[80],"every":[81,84],"sample":[82],"scenario.":[86],"Our":[87],"results":[88],"show":[89],"SOPHON":[91],"can":[92],"traffic":[95],"time":[98],"1.2-2.2x":[100],"over":[101],"existing":[102],"solutions.":[103]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
