{"id":"https://openalex.org/W3010182509","doi":"https://doi.org/10.1109/globecom38437.2019.9013370","title":"GSDM: Graph-Based Scaling Detection Model in Network Function Virtualization","display_name":"GSDM: Graph-Based Scaling Detection Model in Network Function Virtualization","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3010182509","doi":"https://doi.org/10.1109/globecom38437.2019.9013370","mag":"3010182509"},"language":"en","primary_location":{"id":"doi:10.1109/globecom38437.2019.9013370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","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/A5073601214","display_name":"Lishan Li","orcid":"https://orcid.org/0009-0003-2750-4460"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishan Li","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414241","display_name":"Ying Liu","orcid":"https://orcid.org/0000-0002-4919-1130"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410279","display_name":"Jianping Wu","orcid":"https://orcid.org/0009-0001-5395-4292"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wu","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101427405","display_name":"Gang Ren","orcid":"https://orcid.org/0000-0003-4689-0099"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Ren","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2110734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998999834060669,"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":0.9998999834060669,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9954000115394592,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9927999973297119,"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":0.8112317323684692},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7052433490753174},{"id":"https://openalex.org/keywords/virtualization","display_name":"Virtualization","score":0.6648657321929932},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5055320262908936},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4904496371746063},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4513033628463745},{"id":"https://openalex.org/keywords/network-virtualization","display_name":"Network virtualization","score":0.4361039102077484},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4287327229976654},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.428171306848526},{"id":"https://openalex.org/keywords/agile-software-development","display_name":"Agile software development","score":0.42220404744148254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3006114363670349},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2144545316696167},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.13792985677719116},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12553006410598755},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.09239622950553894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112317323684692},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7052433490753174},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.6648657321929932},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5055320262908936},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4904496371746063},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4513033628463745},{"id":"https://openalex.org/C2779898492","wikidata":"https://www.wikidata.org/wiki/Q4112081","display_name":"Network virtualization","level":4,"score":0.4361039102077484},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4287327229976654},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.428171306848526},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.42220404744148254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3006114363670349},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2144545316696167},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.13792985677719116},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12553006410598755},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.09239622950553894},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom38437.2019.9013370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom38437.2019.9013370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Global Communications Conference (GLOBECOM)","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":22,"referenced_works":["https://openalex.org/W1979866793","https://openalex.org/W2031780258","https://openalex.org/W2056616673","https://openalex.org/W2064675550","https://openalex.org/W2095214421","https://openalex.org/W2142972529","https://openalex.org/W2168936382","https://openalex.org/W2260783129","https://openalex.org/W2402144811","https://openalex.org/W2402268235","https://openalex.org/W2465005408","https://openalex.org/W2740152917","https://openalex.org/W2762662031","https://openalex.org/W2789994870","https://openalex.org/W2901823013","https://openalex.org/W2953384591","https://openalex.org/W2963905123","https://openalex.org/W2997947960","https://openalex.org/W3102982213","https://openalex.org/W6713098461","https://openalex.org/W6713134421","https://openalex.org/W6741596470"],"related_works":["https://openalex.org/W2461440407","https://openalex.org/W2317094215","https://openalex.org/W2947277503","https://openalex.org/W112648010","https://openalex.org/W2038957884","https://openalex.org/W206565998","https://openalex.org/W2111213071","https://openalex.org/W2122873612","https://openalex.org/W2802062002","https://openalex.org/W1661390099"],"abstract_inverted_index":{"Network":[0],"function":[1,14,21],"virtualization":[2],"(NFV)":[3],"is":[4,27,91,133],"an":[5],"emerging":[6],"technology,":[7],"which":[8,96],"aims":[9],"at":[10],"replacing":[11],"proprietary":[12],"network":[13,20,94,112,175],"hardware":[15],"devices":[16],"with":[17,38],"software-":[18],"based":[19,48,100],"(NF)":[22],"applications.":[23],"In":[24,74],"NFV,":[25],"it":[26],"critical":[28],"to":[29,66,117],"conduct":[30],"dynamic":[31],"and":[32,61,71,107,122,146,150,165,167],"elastic":[33],"resource":[34],"allocation":[35],"in":[36,163,171],"accordance":[37],"varying":[39],"workloads.":[40],"State-":[41],"of-the-art":[42],"scaling":[43,63,82,98,148],"detection":[44,83],"algorithms":[45],"are":[46],"designed":[47],"on":[49,101],"either":[50],"traffic":[51,70,120],"rate":[52,121],"or":[53],"runtime":[54,123],"status.":[55],"However,":[56],"they":[57],"cannot":[58],"make":[59],"precise":[60,145],"agile":[62,147],"decisions":[64],"due":[65],"diversity":[67],"of":[68,104,174],"input":[69],"noisy":[72],"measurements.":[73],"this":[75],"paper,":[76],"we":[77],"propose":[78],"a":[79,92,114,137,172],"novel":[80],"graph-based":[81],"model":[84],"(GSDM)":[85],"using":[86],"deep":[87],"learning":[88],"techniques.":[89],"GSDM":[90,139,159],"neural":[93],"model,":[95],"selects":[97],"action":[99],"feature":[102,131],"sequences":[103],"each":[105],"NF":[106],"its":[108],"adjacent":[109,129],"NFs.":[110],"Neural":[111],"provides":[113],"scalable":[115],"way":[116],"incorporate":[118],"both":[119],"status":[124],"into":[125],"control":[126],"policy.":[127],"Furthermore,":[128],"NFs'":[130],"information":[132],"also":[134],"injected.":[135],"As":[136],"result,":[138],"empirically":[140],"learns":[141],"policies":[142],"that":[143,158],"achieves":[144,160],"detections":[149],"improves":[151],"system":[152],"performance.":[153],"Our":[154],"implemented":[155],"prototype":[156],"demonstrates":[157],"superior":[161],"performance":[162],"precision":[164],"recall,":[166],"outperforms":[168],"other":[169],"schemes":[170],"variety":[173],"conditions.":[176]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
