{"id":"https://openalex.org/W4414538635","doi":"https://doi.org/10.1109/icc52391.2025.11161206","title":"MegaMon: Transformer-Based Network Traffic Monitor and Analysis for LLM Training","display_name":"MegaMon: Transformer-Based Network Traffic Monitor and Analysis for LLM Training","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4414538635","doi":"https://doi.org/10.1109/icc52391.2025.11161206"},"language":"en","primary_location":{"id":"doi:10.1109/icc52391.2025.11161206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","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/A5100754981","display_name":"Xin Qi","orcid":"https://orcid.org/0000-0002-9204-6457"},"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":"Qi Xin","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100679196","display_name":"Xiaoxiang Wang","orcid":"https://orcid.org/0000-0002-2924-2295"},"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":"Xiaoxiang Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101939481","display_name":"Dongyue Zhang","orcid":"https://orcid.org/0009-0009-5281-5117"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyue Zhang","raw_affiliation_strings":["China Unicom Research Institute,Next Generation Internet Research Department,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Unicom Research Institute,Next Generation Internet Research Department,China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103197890","display_name":"Bowen Han","orcid":"https://orcid.org/0000-0002-8169-8150"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Han","raw_affiliation_strings":["China Unicom Research Institute,Next Generation Internet Research Department,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Unicom Research Institute,Next Generation Internet Research Department,China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641399","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0002-6896-0409"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohua Xu","raw_affiliation_strings":["China Unicom Research Institute,Next Generation Internet Research Department,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Unicom Research Institute,Next Generation Internet Research Department,China","institution_ids":["https://openalex.org/I6507939"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"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":"5356","last_page":"5361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.7365000247955322,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.7365000247955322,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.708299994468689,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10651","display_name":"IPv6, Mobility, Handover, Networks, Security","score":0.6388000249862671,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/troubleshooting","display_name":"Troubleshooting","score":0.8950999975204468},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6919999718666077},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5307000279426575},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5249999761581421},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.49399998784065247},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4146000146865845},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.3946000039577484},{"id":"https://openalex.org/keywords/network-monitoring","display_name":"Network monitoring","score":0.3725000023841858},{"id":"https://openalex.org/keywords/netflow","display_name":"NetFlow","score":0.36469998955726624}],"concepts":[{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.8950999975204468},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6919999718666077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560999751091003},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5666000247001648},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5307000279426575},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46389999985694885},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4507000148296356},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3946000039577484},{"id":"https://openalex.org/C81877898","wikidata":"https://www.wikidata.org/wiki/Q1965787","display_name":"Network monitoring","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C188067584","wikidata":"https://www.wikidata.org/wiki/Q219363","display_name":"NetFlow","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.36070001125335693},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C139940560","wikidata":"https://www.wikidata.org/wiki/Q290036","display_name":"Network simulation","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2980000078678131},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C182590292","wikidata":"https://www.wikidata.org/wiki/Q989632","display_name":"Network security","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc52391.2025.11161206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc52391.2025.11161206","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2025 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2096313289","https://openalex.org/W2112796928","https://openalex.org/W2535374105","https://openalex.org/W2740001873","https://openalex.org/W2903107001","https://openalex.org/W2959716986","https://openalex.org/W4283318673","https://openalex.org/W4286571650","https://openalex.org/W4362566357","https://openalex.org/W4386709668","https://openalex.org/W4392902965","https://openalex.org/W4392903138","https://openalex.org/W4400410487","https://openalex.org/W4401176521","https://openalex.org/W4401176799"],"related_works":[],"abstract_inverted_index":{"As":[0],"the":[1,12,23,51,78,87,123],"scale":[2],"of":[3,25,53,128],"large":[4],"language":[5],"model":[6,80],"(LLM)":[7],"training":[8],"continues":[9],"to":[10,19,37,96],"expand,":[11],"underlying":[13],"data":[14],"center":[15],"networks":[16],"are":[17],"subjected":[18],"increasing":[20],"pressure.":[21],"In":[22],"event":[24],"a":[26,46,60],"network":[27,43,62,74,99,110],"failure,":[28],"significant":[29],"time":[30,82],"can":[31,106],"be":[32],"wasted":[33],"on":[34],"troubleshooting,":[35],"leading":[36],"substantial":[38],"economic":[39],"losses.":[40],"To":[41],"detect":[42,97,108],"failures":[44],"in":[45],"timely":[47],"manner":[48],"without":[49],"affecting":[50],"efficiency":[52,125],"LLM":[54,129],"training,":[55],"this":[56],"paper":[57],"proposes":[58],"MegaMon,":[59],"Transformer-based":[61],"traffic":[63,71],"monitoring":[64],"and":[65,76,117,126],"analysis":[66],"tool.":[67],"MegaMon":[68,105],"collects":[69],"real-time":[70],"sequences":[72,89],"from":[73],"interfaces":[75],"uses":[77],"AdaptivePatchTransformer":[79],"for":[81],"series":[83],"prediction.":[84],"By":[85],"comparing":[86],"predicted":[88],"with":[90],"actual":[91],"sequences,":[92],"it":[93],"identifies":[94],"anomalies":[95],"potential":[98],"failures.":[100],"Testbed":[101],"results":[102],"show":[103],"that":[104],"accurately":[107],"various":[109],"failures,":[111],"has":[112],"millisecond-level":[113],"anomaly":[114],"detection":[115],"capabilities,":[116],"significantly":[118],"reduces":[119],"troubleshooting":[120],"time,":[121],"ensuring":[122],"overall":[124],"stability":[127],"training.":[130]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
