{"id":"https://openalex.org/W3207804575","doi":"https://doi.org/10.23919/apnoms52696.2021.9562590","title":"FullSight: a Deep Learning based Collaborated Failure Detection Framework of Service Function Chain","display_name":"FullSight: a Deep Learning based Collaborated Failure Detection Framework of Service Function Chain","publication_year":2021,"publication_date":"2021-09-08","ids":{"openalex":"https://openalex.org/W3207804575","doi":"https://doi.org/10.23919/apnoms52696.2021.9562590","mag":"3207804575"},"language":"en","primary_location":{"id":"doi:10.23919/apnoms52696.2021.9562590","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms52696.2021.9562590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS)","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/A5063727095","display_name":"Kuo Guo","orcid":"https://orcid.org/0000-0002-9851-0273"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuo Guo","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743860","display_name":"Jia Chen","orcid":"https://orcid.org/0000-0003-2628-8471"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Chen","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049774186","display_name":"Ping Dong","orcid":"https://orcid.org/0000-0002-5842-7264"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Dong","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054792004","display_name":"Yu Zhao","orcid":"https://orcid.org/0000-0003-3629-471X"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055818694","display_name":"Deyun Gao","orcid":"https://orcid.org/0000-0002-8641-4057"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deyun Gao","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101936202","display_name":"Shang Liu","orcid":"https://orcid.org/0000-0001-9566-7075"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shang Liu","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"319","last_page":"324"},"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":0.9987999796867371,"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":0.995199978351593,"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":0.7704472541809082},{"id":"https://openalex.org/keywords/forwarding-plane","display_name":"Forwarding plane","score":0.6403670310974121},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6227194666862488},{"id":"https://openalex.org/keywords/virtualization","display_name":"Virtualization","score":0.4454357922077179},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42908522486686707},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41953206062316895},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.39387261867523193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.341103732585907},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3241574764251709},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2895984649658203},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.20846864581108093},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.10502082109451294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7704472541809082},{"id":"https://openalex.org/C10597312","wikidata":"https://www.wikidata.org/wiki/Q5473302","display_name":"Forwarding plane","level":3,"score":0.6403670310974121},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6227194666862488},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.4454357922077179},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42908522486686707},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41953206062316895},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.39387261867523193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.341103732585907},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3241574764251709},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2895984649658203},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.20846864581108093},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.10502082109451294},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apnoms52696.2021.9562590","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apnoms52696.2021.9562590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G300690655","display_name":null,"funder_award_id":"2018YFE0206800,2021JBZD003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2034884600","https://openalex.org/W2147118406","https://openalex.org/W2736634825","https://openalex.org/W2765850033","https://openalex.org/W2768569922","https://openalex.org/W2885245007","https://openalex.org/W3007670609","https://openalex.org/W3034877820","https://openalex.org/W3046768168","https://openalex.org/W3049418198","https://openalex.org/W3094486128","https://openalex.org/W3115478688","https://openalex.org/W3128341476","https://openalex.org/W3137751149"],"related_works":["https://openalex.org/W116776481","https://openalex.org/W2125008614","https://openalex.org/W2926903444","https://openalex.org/W2039199837","https://openalex.org/W2612997776","https://openalex.org/W4375867731","https://openalex.org/W2051935741","https://openalex.org/W3013556266","https://openalex.org/W3169265188","https://openalex.org/W2267484144"],"abstract_inverted_index":{"Network":[0,13],"Function":[1,37],"Virtualization":[2],"(NFV)":[3],"is":[4,119,128,143],"one":[5],"of":[6,35,65,109,112,155,163,178],"the":[7,33,84,110,113,122,131,147,156,191],"most":[8],"promising":[9],"technologies":[10],"which":[11,80,116],"decouples":[12],"Functions":[14],"(NFs)":[15],"from":[16],"hardware":[17,43],"resources":[18],"to":[19,42,201],"support":[20,152],"more":[21],"flexible":[22],"network":[23,26,117],"services":[24],"and":[25,47,70,83,92,165,173,176],"resource":[27],"allocation.":[28],"However,":[29],"these":[30],"benefits":[31],"increase":[32],"possibility":[34],"Service":[36],"Chain":[38],"(SFC)":[39],"failures":[40,180],"due":[41],"failures,":[44],"software":[45],"defects":[46],"burst":[48],"traffic,":[49],"resulting":[50],"in":[51,79,115,181],"serious":[52],"consequences.":[53],"Unfortunately,":[54],"existing":[55,192],"failure":[56,91,101,137,158],"detection":[57,66,138,175,198],"methods":[58],"have":[59],"several":[60],"issues,":[61],"such":[62],"as":[63],"simplification":[64],"functionality,":[67],"heavy":[68],"overhead,":[69],"low":[71],"accuracy.":[72],"This":[73],"paper":[74],"introduces":[75],"a":[76,136,197],"framework":[77],"FullSight,":[78],"control":[81,132],"plane":[82,87],"programmable":[85],"data":[86,123],"can":[88,104,151,170],"collaboratively":[89],"detect":[90],"Deep":[93],"Learning":[94],"(DL)":[95],"based":[96,140],"algorithms":[97],"are":[98],"adopted":[99],"for":[100],"detection.":[102,159],"FullSight":[103,150,169,195],"achieve":[105],"an":[106],"all-round":[107],"perception":[108],"state":[111],"SFC,":[114],"information":[118],"acquired":[120],"through":[121,130],"plane,":[124],"SFC":[125],"components'":[126],"message":[127],"obtained":[129],"plane.":[133],"In":[134],"addition,":[135],"model":[139],"on":[141],"DL":[142],"established.":[144],"Compared":[145],"with":[146,190],"state-of-the-art":[148],"methods,":[149],"8":[153],"kinds":[154],"fine-grained":[157],"Our":[160],"comprehensive":[161],"evaluation":[162],"prototypes":[164],"simulations":[166],"shows":[167],"that":[168],"realize":[171],"rapid":[172],"accurate":[174],"classification":[177],"diversified":[179],"SFCs.":[182],"The":[183],"bandwidth":[184],"overhead":[185],"reduces":[186],"by":[187],"57%":[188],"compared":[189],"methods.":[193],"Additionally,":[194],"has":[196],"accuracy":[199],"up":[200],"93.5%.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
