{"id":"https://openalex.org/W4412445720","doi":"https://doi.org/10.1109/noms57970.2025.11073606","title":"vNetRunner: Per-VNF Slice Modeling for 5G and Beyond Networks","display_name":"vNetRunner: Per-VNF Slice Modeling for 5G and Beyond Networks","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4412445720","doi":"https://doi.org/10.1109/noms57970.2025.11073606"},"language":"en","primary_location":{"id":"doi:10.1109/noms57970.2025.11073606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","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/A5013358220","display_name":"Muhammad Sulaiman","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Sulaiman","raw_affiliation_strings":["University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044996014","display_name":"Bo Sun","orcid":"https://orcid.org/0000-0002-3620-4131"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bo Sun","raw_affiliation_strings":["University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039801401","display_name":"Mohammad A. Salahuddin","orcid":"https://orcid.org/0000-0002-5431-3278"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohammad A. Salahuddin","raw_affiliation_strings":["University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038723583","display_name":"Raouf Boutaba","orcid":"https://orcid.org/0000-0001-7936-6862"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Raouf Boutaba","raw_affiliation_strings":["University of Waterloo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Waterloo","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065045834","display_name":"Aladdin Saleh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127050","display_name":"Rogers Communications (Canada)","ror":"https://ror.org/032bte841","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210127050"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Aladdin Saleh","raw_affiliation_strings":["Rogers Communications Canada, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rogers Communications Canada, Inc","institution_ids":["https://openalex.org/I4210127050"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998000264167786,"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":0.9998000264167786,"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":0.968500018119812,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9659000039100647,"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":0.7146095633506775},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3695636987686157},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3374224901199341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146095633506775},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3695636987686157},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3374224901199341}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms57970.2025.11073606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","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":23,"referenced_works":["https://openalex.org/W170020907","https://openalex.org/W1822049871","https://openalex.org/W2495475966","https://openalex.org/W2899771611","https://openalex.org/W2910790589","https://openalex.org/W2946466712","https://openalex.org/W2977973695","https://openalex.org/W3106379731","https://openalex.org/W3193193041","https://openalex.org/W3208092684","https://openalex.org/W4281699156","https://openalex.org/W4290991029","https://openalex.org/W4310471110","https://openalex.org/W4312366510","https://openalex.org/W4312726911","https://openalex.org/W4375929162","https://openalex.org/W4381734298","https://openalex.org/W4381744996","https://openalex.org/W4401539258","https://openalex.org/W4411799404","https://openalex.org/W6634817459","https://openalex.org/W6638836233","https://openalex.org/W6723290024"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"adoption":[1],"of":[2,12,51,147,161],"virtualization":[3],"in":[4,29,90],"5G":[5,121],"and":[6,32,58,70,131,142,150],"beyond":[7],"networks":[8],"enables":[9],"the":[10,49,165],"creation":[11],"network":[13,52,109],"slices":[14],"tailored":[15],"to":[16,61],"specific":[17,86],"application":[18],"requirements.":[19],"While":[20],"this":[21,95],"flexibility":[22],"is":[23],"transformative,":[24],"it":[25],"introduces":[26],"new":[27],"challenges":[28],"slice":[30,42,62,103],"management":[31],"orchestration":[33],"(MANO).":[34],"AI-based":[35],"techniques":[36],"are":[37,158],"becoming":[38],"essential":[39],"for":[40,102],"automated":[41],"MANO.":[43],"However,":[44],"their":[45],"effectiveness":[46],"relies":[47],"on":[48,124],"accuracy":[50],"models":[53],"that":[54,136,157],"map":[55],"VNF":[56],"configurations":[57],"resource":[59],"allocations":[60],"performance.":[63],"Previous":[64],"approaches,":[65],"including":[66],"simulations,":[67],"control":[68],"theory,":[69],"machine":[71],"learning,":[72],"face":[73],"limitations":[74],"such":[75,127],"as":[76,128],"high":[77],"computational":[78],"complexity,":[79],"limited":[80],"visibility,":[81],"large":[82],"data":[83,91],"requirements,":[84],"or":[85],"use":[87],"cases,":[88],"e.g.,":[89],"center":[92],"networks.":[93],"In":[94],"work,":[96],"we":[97],"present":[98],"vNetRunner,":[99],"a":[100],"framework":[101,115],"modeling":[104,167],"using":[105,116],"individually":[106],"trained":[107],"virtual":[108],"function":[110],"models.":[111],"We":[112],"validate":[113],"our":[114],"datasets":[117],"from":[118],"an":[119,159],"open-source":[120],"testbed,":[122],"focusing":[123],"traffic":[125],"metrics":[126],"mean":[129,139],"delay":[130,141],"throughput.":[132],"Our":[133],"results":[134],"demonstrate":[135],"vNetRunner":[137],"estimates":[138],"packet":[140],"throughput":[143],"with":[144],"Wasserstein":[145],"distances":[146],"6":[148],"ms":[149],"0.554":[151],"Mbps,":[152],"respectively,":[153],"achieving":[154],"execution":[155],"times":[156],"order":[160],"magnitude":[162],"faster":[163],"than":[164],"state-of-the-art":[166],"approaches.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}