{"id":"https://openalex.org/W3113082031","doi":"https://doi.org/10.1109/access.2020.3044610","title":"An Anomaly Detection Algorithm for Microservice Architecture Based on Robust Principal Component Analysis","display_name":"An Anomaly Detection Algorithm for Microservice Architecture Based on Robust Principal Component Analysis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3113082031","doi":"https://doi.org/10.1109/access.2020.3044610","mag":"3113082031"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3044610","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3044610","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3044610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089108921","display_name":"Mingxu Jin","orcid":"https://orcid.org/0000-0003-3484-8723"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxu Jin","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3484-8723","affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045539863","display_name":"Aoran Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoran Lv","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087093237","display_name":"Yuanpeng Zhu","orcid":"https://orcid.org/0000-0001-8682-6089"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanpeng Zhu","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8682-6089","affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036126385","display_name":"Zijiang Wen","orcid":"https://orcid.org/0000-0003-0535-6789"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zijiang Wen","raw_affiliation_strings":["JOYY Inc., Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0535-6789","affiliations":[{"raw_affiliation_string":"JOYY Inc., Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010195810","display_name":"Yu-Bin Zhong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yubin Zhong","raw_affiliation_strings":["JOYY Inc., Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JOYY Inc., Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041522695","display_name":"Zexin Zhao","orcid":"https://orcid.org/0000-0001-8975-7664"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexin Zhao","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102017416","display_name":"Jiang Wu","orcid":"https://orcid.org/0000-0002-1368-9682"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Wu","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101194096","display_name":"Hejie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hejie Li","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090766506","display_name":"Hanheng He","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanheng He","raw_affiliation_strings":["School of Mathematics, South China University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060911317","display_name":"Fengyi Chen","orcid":"https://orcid.org/0000-0002-1562-054X"},"institutions":[{"id":"https://openalex.org/I4210092267","display_name":"Guangdong Industry Technical College","ror":"https://ror.org/00dre6z66","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092267"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyi Chen","raw_affiliation_strings":["School of Management Administration, Guangdong Industry Polytechnic, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management Administration, Guangdong Industry Polytechnic, Guangzhou, China","institution_ids":["https://openalex.org/I4210092267"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.8638,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.93954097,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"226397","last_page":"226408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","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/T12127","display_name":"Software System Performance and Reliability","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9991999864578247,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7726172804832458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334307432174683},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6084613800048828},{"id":"https://openalex.org/keywords/microservices","display_name":"Microservices","score":0.5848730802536011},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5730013847351074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5500296354293823},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5226383209228516},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5029289126396179},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5021395683288574},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4876629114151001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4262889325618744},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4229009747505188}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7726172804832458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334307432174683},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6084613800048828},{"id":"https://openalex.org/C2778505942","wikidata":"https://www.wikidata.org/wiki/Q18344624","display_name":"Microservices","level":3,"score":0.5848730802536011},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5730013847351074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5500296354293823},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5226383209228516},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5029289126396179},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5021395683288574},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4876629114151001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4262889325618744},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4229009747505188},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3044610","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3044610","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2e380a5d9aa348e79ba483671670c326","is_oa":true,"landing_page_url":"https://doaj.org/article/2e380a5d9aa348e79ba483671670c326","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 226397-226408 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3044610","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3044610","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4027507967","display_name":null,"funder_award_id":"2018A030310381","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G931099727","display_name":null,"funder_award_id":"61802129","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1609746247","https://openalex.org/W2026453187","https://openalex.org/W2028604378","https://openalex.org/W2039157918","https://openalex.org/W2068783850","https://openalex.org/W2093606067","https://openalex.org/W2102632804","https://openalex.org/W2136668498","https://openalex.org/W2145962650","https://openalex.org/W2162275200","https://openalex.org/W2164098335","https://openalex.org/W2168955340","https://openalex.org/W2216268987","https://openalex.org/W2232142723","https://openalex.org/W2296719434","https://openalex.org/W2513041336","https://openalex.org/W2574161975","https://openalex.org/W2756047915","https://openalex.org/W2782995272","https://openalex.org/W2821372324","https://openalex.org/W2885159437","https://openalex.org/W2887843685","https://openalex.org/W2900100055","https://openalex.org/W2901543039","https://openalex.org/W2902298796","https://openalex.org/W2903799441","https://openalex.org/W2906549175","https://openalex.org/W2941057989","https://openalex.org/W2943095792","https://openalex.org/W2946651629","https://openalex.org/W2951401720","https://openalex.org/W2980932398","https://openalex.org/W3002953771","https://openalex.org/W3006026125","https://openalex.org/W3012644936","https://openalex.org/W3013888836","https://openalex.org/W3023283421","https://openalex.org/W3034512661","https://openalex.org/W3083560262","https://openalex.org/W3086483848","https://openalex.org/W3122732016","https://openalex.org/W4254182148","https://openalex.org/W6636305976","https://openalex.org/W6659932665","https://openalex.org/W6757328474","https://openalex.org/W6775231958"],"related_works":["https://openalex.org/W3037121946","https://openalex.org/W2991135868","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W4387454008","https://openalex.org/W2806741695","https://openalex.org/W2594059414","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830"],"abstract_inverted_index":{"Microservice":[0],"architecture":[1],"(MSA)":[2],"is":[3,81,170],"a":[4,10,33,69,129],"new":[5],"software":[6],"architecture,":[7],"which":[8],"divides":[9],"large":[11],"single":[12,70,76],"application":[13],"and":[14,47,68,99,110,134],"service":[15],"into":[16],"dozens":[17],"of":[18,25,30,35,54,83,117,131,137,140,155,165,176],"supporting":[19],"microservices.":[20],"With":[21],"the":[22,27,48,115,118,141,152,156,173],"increasingly":[23],"popularity":[24],"MSA,":[26,119],"security":[28],"issues":[29],"MSA":[31],"get":[32],"lot":[34],"attention.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,120],"propose":[41],"an":[42,162],"algorithm":[43,52,80,160,180],"for":[44],"mining":[45],"causality":[46],"root":[49],"cause.":[50],"Our":[51,178],"consists":[53],"two":[55],"parts:":[56],"invocation":[57],"chain":[58],"anomaly":[59,72,78,113,123,191],"analysis":[60,66],"based":[61],"on":[62],"robust":[63],"principal":[64],"component":[65],"(RPCA)":[67],"indicator":[71,77],"detection":[73,79,125],"algorithm.":[74,149],"The":[75],"composed":[82],"Isolation":[84],"Forest":[85],"(IF)":[86],"algorithm,":[87,93,98],"One-Class":[88],"Support":[89],"Vector":[90],"Machine":[91],"(SVM)":[92],"Local":[94],"Outlier":[95],"Factor":[96],"(LOF)":[97],"<inline-formula":[100],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[102],"<tex-math":[103],"notation=\"LaTeX\">$3\\sigma":[104],"$":[105],"</tex-math></inline-formula>":[106],"principle.":[107],"For":[108],"general":[109],"network":[111],"time-consuming":[112,124],"in":[114,172,190],"process":[116],"formulate":[121],"different":[122],"strategies.":[126],"We":[127],"select":[128],"batch":[130],"sample":[132],"data":[133,139],"three":[135],"batches":[136,175],"test":[138],"2020":[142],"International":[143],"AIOps":[144],"Challenge":[145],"to":[146,151],"debug":[147],"our":[148,159],"According":[150],"scoring":[153],"criteria":[154],"competition":[157],"organizers,":[158],"has":[161,181],"average":[163],"score":[164,169],"0.8304":[166],"(The":[167],"full":[168],"1)":[171],"four":[174],"data.":[177],"proposed":[179],"higher":[182],"accuracy":[183],"than":[184],"some":[185],"traditional":[186],"machine":[187],"learning":[188],"algorithms":[189],"detection.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
