{"id":"https://openalex.org/W4415124380","doi":"https://doi.org/10.1109/icnp65844.2025.11192407","title":"MORS: Traffic-Aware Routing based on Temporal Attributes for Model Training Clusters","display_name":"MORS: Traffic-Aware Routing based on Temporal Attributes for Model Training Clusters","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4415124380","doi":"https://doi.org/10.1109/icnp65844.2025.11192407"},"language":"en","primary_location":{"id":"doi:10.1109/icnp65844.2025.11192407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp65844.2025.11192407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 33rd International Conference on Network Protocols (ICNP)","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/A5100649609","display_name":"Yuchao Zhang","orcid":"https://orcid.org/0000-0002-0135-8915"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchao Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102593684","display_name":"Chenyue Zheng","orcid":"https://orcid.org/0009-0002-9414-981X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyue Zheng","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031365162","display_name":"Wenfei Wu","orcid":"https://orcid.org/0000-0002-1357-3137"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfei Wu","raw_affiliation_strings":["Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065187833","display_name":"Zhuo Jiang","orcid":"https://orcid.org/0000-0002-0988-4864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuo Jiang","raw_affiliation_strings":["Douyin Vision"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Douyin Vision","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736263","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0002-8420-6860"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Douyin Vision"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Douyin Vision","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101756422","display_name":"Huichen Dai","orcid":"https://orcid.org/0000-0001-9171-9990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huichen Dai","raw_affiliation_strings":["Douyin Vision"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Douyin Vision","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599312","display_name":"Zhang Zhang","orcid":"https://orcid.org/0000-0002-3510-4585"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang Zhang","raw_affiliation_strings":["Douyin Vision"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Douyin Vision","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043957457","display_name":"Jianglong Nie","orcid":"https://orcid.org/0009-0001-8492-7983"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianglong Nie","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329071","display_name":"Wendong Wang","orcid":"https://orcid.org/0000-0002-9041-1721"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88954098,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9958999752998352,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9958999752998352,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9937999844551086,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9918000102043152,"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/routing","display_name":"Routing (electronic design automation)","score":0.5310999751091003},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.47609999775886536},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.43810001015663147},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.3357999920845032},{"id":"https://openalex.org/keywords/static-routing","display_name":"Static routing","score":0.325300008058548},{"id":"https://openalex.org/keywords/time-budget","display_name":"Time budget","score":0.3091999888420105},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.2980000078678131},{"id":"https://openalex.org/keywords/port","display_name":"Port (circuit theory)","score":0.29660001397132874},{"id":"https://openalex.org/keywords/enhanced-interior-gateway-routing-protocol","display_name":"Enhanced Interior Gateway Routing Protocol","score":0.29649999737739563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964000105857849},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.536300003528595},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5310999751091003},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.47609999775886536},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.45669999718666077},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3986999988555908},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38769999146461487},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C204948658","wikidata":"https://www.wikidata.org/wiki/Q1119410","display_name":"Static routing","level":4,"score":0.325300008058548},{"id":"https://openalex.org/C2986053828","wikidata":"https://www.wikidata.org/wiki/Q355217","display_name":"Time budget","level":2,"score":0.3091999888420105},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C32802771","wikidata":"https://www.wikidata.org/wiki/Q2443617","display_name":"Port (circuit theory)","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C87044965","wikidata":"https://www.wikidata.org/wiki/Q1091139","display_name":"Enhanced Interior Gateway Routing Protocol","level":5,"score":0.29649999737739563},{"id":"https://openalex.org/C183121708","wikidata":"https://www.wikidata.org/wiki/Q209867","display_name":"Telemetry","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C44010500","wikidata":"https://www.wikidata.org/wiki/Q1422567","display_name":"Source routing","level":5,"score":0.2896000146865845},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C9659607","wikidata":"https://www.wikidata.org/wiki/Q1268903","display_name":"Dynamic Source Routing","level":4,"score":0.28200000524520874},{"id":"https://openalex.org/C2984173633","wikidata":"https://www.wikidata.org/wiki/Q22725","display_name":"Routing algorithm","level":4,"score":0.28119999170303345},{"id":"https://openalex.org/C169485995","wikidata":"https://www.wikidata.org/wiki/Q42283","display_name":"File Transfer Protocol","level":3,"score":0.2799000144004822},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2619999945163727},{"id":"https://openalex.org/C184896649","wikidata":"https://www.wikidata.org/wiki/Q290066","display_name":"Routing table","level":4,"score":0.2615000009536743},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C115443555","wikidata":"https://www.wikidata.org/wiki/Q5367790","display_name":"Equal-cost multi-path routing","level":5,"score":0.2587999999523163},{"id":"https://openalex.org/C128917274","wikidata":"https://www.wikidata.org/wiki/Q1666535","display_name":"Path vector protocol","level":5,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp65844.2025.11192407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp65844.2025.11192407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 33rd International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326444","display_name":"Nova","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2087178199","https://openalex.org/W2099657323","https://openalex.org/W2130531694","https://openalex.org/W2142480021","https://openalex.org/W2157990152","https://openalex.org/W2465793152","https://openalex.org/W2744567246","https://openalex.org/W2744698795","https://openalex.org/W2770706713","https://openalex.org/W2884336345","https://openalex.org/W2968108410","https://openalex.org/W2981587687","https://openalex.org/W3046470751","https://openalex.org/W3093945404","https://openalex.org/W3129251660","https://openalex.org/W3175449831","https://openalex.org/W4235732943","https://openalex.org/W4249923717","https://openalex.org/W4290991080","https://openalex.org/W4290991121","https://openalex.org/W4308995365","https://openalex.org/W4386385105","https://openalex.org/W4389989040","https://openalex.org/W4401176799","https://openalex.org/W4401176820"],"related_works":[],"abstract_inverted_index":{"To":[0],"train":[1],"large":[2],"AI":[3,29,37,64],"models,":[4],"clusters":[5,38],"are":[6],"constructed":[7],"with":[8,149,163],"abundant":[9],"connectivity":[10],"and":[11,18,36,42,78,81,111,131,174,184,195,200,206],"bandwidth;":[12],"but":[13],"the":[14,25,72,95,109,116,120,125,135,154,160,164,168,178],"commodity":[15,150,180],"protocol":[16],"ECMP":[17,151,169],"recent":[19],"proposals":[20],"fail":[21],"to":[22,70,84,104,114,158,192,198],"fully":[23],"utilize":[24],"network":[26,79],"bandwidth":[27],"for":[28,60],"traffic":[30,44,61,74],"pattern.":[31],"As":[32],"model":[33],"training":[34,54],"jobs":[35],"exhibit":[39],"a":[40,52,87,91],"predictable":[41],"periodic":[43,73,112],"pattern,":[45],"so":[46],"in":[47,63,94,119,167,177],"this":[48],"paper,":[49],"we":[50],"propose":[51],"MOdel":[53],"Routing":[55],"System":[56],"\u2014":[57,59],"MORS":[58,66,98,133,171,188],"routing":[62,194],"clusters.":[65],"defines":[67],"temporal":[68,82,106,136],"attributes":[69,107,118],"characterize":[71],"pattern":[75],"of":[76,108,128,138],"flows":[77],"links,":[80],"quality":[83,137],"quantify":[85],"whether":[86],"path":[88,144,166],"could":[89],"deliver":[90],"flow":[92,161],"quickly":[93],"near":[96],"future.":[97],"runs":[99],"In-band":[100],"Network":[101],"Telemetry":[102],"(INT)":[103],"collect":[105],"network,":[110],"analysis":[113],"extend":[115],"collected":[117],"time":[121,126],"domain.":[122],"Based":[123],"on":[124],"series":[127],"link":[129],"utilization":[130],"latency,":[132],"computes":[134],"candidate":[139],"paths.":[140],"It":[141],"enforces":[142],"high-quality":[143],"selection":[145],"while":[146],"maintaining":[147],"compatibility":[148],"by":[152],"manipulating":[153],"source":[155],"UDP":[156],"port":[157],"ensure":[159],"complies":[162],"target":[165],"protocol.":[170],"is":[172],"light-weight":[173],"readily":[175],"deployable":[176],"RDMA":[179],"cluster.":[181],"Our":[182],"prototype":[183],"experiments":[185],"demonstrate":[186],"that":[187],"achieves":[189],"performance":[190],"comparable":[191],"adaptive":[193],"delivers":[196],"up":[197],"14%":[199],"50%":[201],"better":[202],"FCT":[203],"than":[204],"PLB":[205],"ECMP,":[207],"respectively.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-14T00:00:00"}