{"id":"https://openalex.org/W4414169961","doi":"https://doi.org/10.1109/iwqos65803.2025.11143253","title":"NetMAS: Efficient Network Configuration Translation with Multi-Agent System","display_name":"NetMAS: Efficient Network Configuration Translation with Multi-Agent System","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4414169961","doi":"https://doi.org/10.1109/iwqos65803.2025.11143253"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos65803.2025.11143253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS)","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/A5059677848","display_name":"Chenyang Liu","orcid":"https://orcid.org/0000-0003-3034-6646"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyang Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083598234","display_name":"Fuliang Li","orcid":"https://orcid.org/0000-0001-9782-0053"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuliang Li","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011672757","display_name":"Naigong Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naigong Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326907","display_name":"Xingwei Wang","orcid":"https://orcid.org/0000-0001-9143-2287"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingwei Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University,Shenyang,China,110819","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2734938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9994000196456909,"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":0.9994000196456909,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10847","display_name":"Advanced Optical Network Technologies","score":0.992900013923645,"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/translation","display_name":"Translation (biology)","score":0.598800003528595},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5961999893188477},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/network-architecture","display_name":"Network architecture","score":0.3853999972343445},{"id":"https://openalex.org/keywords/networking-hardware","display_name":"Networking hardware","score":0.36059999465942383},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.33180001378059387}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8061000108718872},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.598800003528595},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5961999893188477},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5404000282287598},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C159631557","wikidata":"https://www.wikidata.org/wiki/Q1546066","display_name":"Networking hardware","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C78873551","wikidata":"https://www.wikidata.org/wiki/Q5160111","display_name":"Configuration Management (ITSM)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C10451660","wikidata":"https://www.wikidata.org/wiki/Q5160113","display_name":"Configuration design","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.30079999566078186},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27230000495910645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2581000030040741},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos65803.2025.11143253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/ACM 33rd International Symposium on Quality of Service (IWQoS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2306096821","display_name":null,"funder_award_id":"U22B2005,62432003,92267206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2121545378","https://openalex.org/W2133496820","https://openalex.org/W2162547852","https://openalex.org/W2488197787","https://openalex.org/W2552298303","https://openalex.org/W2725434906","https://openalex.org/W3187890719","https://openalex.org/W3190656508","https://openalex.org/W3205858198","https://openalex.org/W4226399820","https://openalex.org/W4290990971","https://openalex.org/W4292779060","https://openalex.org/W4322718191","https://openalex.org/W4379919478","https://openalex.org/W4385963839","https://openalex.org/W4387561453","https://openalex.org/W4387914673","https://openalex.org/W4389518671","https://openalex.org/W4399401005","https://openalex.org/W4399401091","https://openalex.org/W4399695502"],"related_works":[],"abstract_inverted_index":{"Heterogeneous":[0],"networks":[1],"utilize":[2],"devices":[3,96],"from":[4,164,171],"multiple":[5],"vendors":[6,166],"to":[7,74,173,189],"enhance":[8],"failure":[9],"prevention,":[10],"but":[11],"also":[12],"pose":[13],"challenges":[14],"in":[15],"network":[16,92,111],"device":[17,40],"management.":[18],"Network":[19,67],"configuration":[20,47,80,112,148],"translation,":[21],"as":[22],"a":[23,49,105,109,115],"critical":[24],"aspect":[25],"of":[26,31,52,91,101,123],"management,":[27],"facilitates":[28],"the":[29,66,89,119,124,130,157],"upgrading":[30],"pairwise":[32],"nodes":[33],"that":[34,56,143],"back":[35],"up":[36],"each":[37],"other":[38],"and":[39,54,78,97,114,167,176,193],"replacements":[41],"across":[42,94],"different":[43,95],"vendors.":[44,98],"Manually":[45],"translating":[46,170],"requires":[48],"significant":[50],"amount":[51],"time":[53],"demands":[55],"administrators":[57],"have":[58],"ample":[59],"experience.":[60],"To":[61],"address":[62],"this,":[63],"we":[64],"introduce":[65],"Configuration":[68],"Translation":[69],"MultiAgent":[70],"System":[71],"(NetMAS),":[72],"designed":[73],"manage":[75],"heterogeneous":[76],"manuals":[77,163],"streamline":[79],"translation.":[81],"By":[82],"efficiently":[83],"handling":[84],"diverse":[85],"manuals,":[86],"NetMAS":[87,99,128,144,178],"simplifies":[88],"translation":[90],"configurations":[93],"consists":[100],"three":[102],"core":[103],"components:":[104],"hierarchical":[106],"manual":[107],"retriever,":[108],"detachable":[110],"translator,":[113],"memory":[116],"module.":[117],"Leveraging":[118],"advanced":[120],"function-calling":[121],"capabilities":[122],"Large":[125],"Language":[126],"Models,":[127],"eliminates":[129],"need":[131],"for":[132],"external":[133],"training,":[134],"significantly":[135],"enhancing":[136],"overall":[137],"efficiency.":[138],"Our":[139],"experimental":[140],"results":[141],"demonstrate":[142],"can":[145],"effectively":[146],"retrieves":[147],"manuals.":[149],"The":[150],"retrieval":[151],"accuracy":[152,180],"reaches":[153],"94.11%":[154],"when":[155],"considering":[156],"top-5":[158],"results.":[159],"Furthermore,":[160],"it":[161],"supports":[162],"various":[165],"devices.":[168],"When":[169],"Cisco":[172],"Huawei,":[174],"H3C,":[175],"Juniper,":[177],"improves":[179],"by":[181],"an":[182],"average":[183],"of$25.48":[184],"\\times$and$12.38":[185],"\\times$,":[186],"respectively,":[187],"compared":[188],"directly":[190],"using":[191],"GPT-4o":[192],"Deepseek.":[194]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
