{"id":"https://openalex.org/W7135211061","doi":"https://doi.org/10.48550/arxiv.2603.12118","title":"Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models","display_name":"Cornserve: A Distributed Serving System for Any-to-Any Multimodal Models","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135211061","doi":"https://doi.org/10.48550/arxiv.2603.12118"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12118","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12118","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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.12118","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016566636","display_name":"Jae-Won Chung","orcid":"https://orcid.org/0000-0001-5924-3427"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chung, Jae-Won","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111622458","display_name":"Jeff Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Jeff J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014405314","display_name":"JiSang Ahn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahn, Jisang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125285052","display_name":"Yizhuo Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Yizhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120845847","display_name":"Akshay Jajoo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jajoo, Akshay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129059821","display_name":"Myungjin Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Myungjin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123914473","display_name":"Mosharaf Chowdhury","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chowdhury, Mosharaf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5016566636"],"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":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.42010000348091125,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.42010000348091125,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12031","display_name":"Speech and dialogue systems","score":0.11420000344514847,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.050700001418590546,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/component","display_name":"Component (thermodynamics)","score":0.7020999789237976},{"id":"https://openalex.org/keywords/traverse","display_name":"Traverse","score":0.6407999992370605},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5924000144004822},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5837000012397766},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5554999709129333},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5430999994277954},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4885999858379364},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.39890000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.803600013256073},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7020999789237976},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6690999865531921},{"id":"https://openalex.org/C176809094","wikidata":"https://www.wikidata.org/wiki/Q15401496","display_name":"Traverse","level":2,"score":0.6407999992370605},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5924000144004822},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5837000012397766},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5554999709129333},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5430999994277954},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.39890000224113464},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.39340001344680786},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39010000228881836},{"id":"https://openalex.org/C184596265","wikidata":"https://www.wikidata.org/wiki/Q2651576","display_name":"Model of computation","level":3,"score":0.3425999879837036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33880001306533813},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.33169999718666077},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C4292930","wikidata":"https://www.wikidata.org/wiki/Q17009341","display_name":"Distributed element model","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12118","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12118","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"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.12118","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12118","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Any-to-Any":[0,67,77,134],"models":[1,8,29,135],"are":[2,30],"an":[3,97],"emerging":[4],"class":[5],"of":[6,12,51,105,129],"multimodal":[7,13],"that":[9,102],"accept":[10],"combinations":[11],"data":[14,94,106,111],"(e.g.,":[15],"text,":[16],"image,":[17],"video,":[18],"audio)":[19],"as":[20,25],"input":[21,36],"and":[22,37,48,84,108,136,143,151],"generate":[23],"them":[24],"output.":[26],"Serving":[27],"these":[28],"challenging;":[31],"different":[32,35,41,55],"requests":[33],"with":[34,124],"output":[38],"modalities":[39],"traverse":[40],"paths":[42],"through":[43],"the":[44,52,93,116,119,152],"model":[45,53,78,101],"computation":[46,79],"graph,":[47],"each":[49],"component":[50,82],"have":[54],"scaling":[56],"characteristics.":[57],"We":[58],"present":[59],"Cornserve,":[60],"a":[61,71],"distributed":[62,88],"serving":[63],"system":[64],"for":[65,75],"generic":[66],"models.":[68],"Cornserve":[69,131,148],"provides":[70],"flexible":[72],"task":[73],"abstraction":[74],"expressing":[76],"graphs,":[80],"enabling":[81],"disaggregation":[83],"independent":[85],"scaling.":[86],"The":[87],"runtime":[89],"dispatches":[90],"compute":[91],"to":[92,118,139],"plane":[95],"via":[96],"efficient":[98],"record-and-replay":[99],"execution":[100],"keeps":[103],"track":[104],"dependencies,":[107],"forwards":[109],"tensor":[110],"between":[112],"components":[113],"directly":[114],"from":[115],"producer":[117],"consumer.":[120],"Built":[121],"on":[122,157],"Kubernetes":[123],"approximately":[125],"23K":[126],"new":[127],"lines":[128],"Python,":[130],"supports":[132],"diverse":[133],"delivers":[137],"up":[138],"3.81$\\times$":[140],"higher":[141],"throughput":[142],"5.79$\\times$":[144],"lower":[145],"tail":[146],"latency.":[147],"is":[149,155],"open-source,":[150],"demo":[153],"video":[154],"available":[156],"YouTube.":[158]},"counts_by_year":[],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2026-03-14T00:00:00"}