{"id":"https://openalex.org/W4414169737","doi":"https://doi.org/10.1109/iwqos65803.2025.11143407","title":"Causelens: Causality-Based Interpretable Root Cause Analysis for Microservice Systems","display_name":"Causelens: Causality-Based Interpretable Root Cause Analysis for Microservice Systems","publication_year":2025,"publication_date":"2025-07-02","ids":{"openalex":"https://openalex.org/W4414169737","doi":"https://doi.org/10.1109/iwqos65803.2025.11143407"},"language":"en","primary_location":{"id":"doi:10.1109/iwqos65803.2025.11143407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143407","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":"article","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/A5100453158","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-7062-831X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qihan Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335060","display_name":"Pengfei Chen","orcid":"https://orcid.org/0000-0003-0972-6900"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Chen","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075077822","display_name":"Guangba Yu","orcid":"https://orcid.org/0000-0001-6195-9088"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangba Yu","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018790130","display_name":"Yuanhao Lai","orcid":"https://orcid.org/0000-0002-9154-5668"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanhao Lai","raw_affiliation_strings":["Huawei Company,Service Lab"],"affiliations":[{"raw_affiliation_string":"Huawei Company,Service Lab","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781895","display_name":"Xiaoyun Li","orcid":"https://orcid.org/0000-0001-5730-2972"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Li","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-Sen University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-Sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100453158"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29675746,"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/T12127","display_name":"Software System Performance and Reliability","score":1.0,"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":1.0,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/root-cause-analysis","display_name":"Root cause analysis","score":0.7675999999046326},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.7164000272750854},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.5999000072479248},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5809999704360962},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.5458999872207642},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.461899995803833},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.3264000117778778},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.29989999532699585}],"concepts":[{"id":"https://openalex.org/C130963320","wikidata":"https://www.wikidata.org/wiki/Q1401207","display_name":"Root cause analysis","level":2,"score":0.7675999999046326},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.7164000272750854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7087000012397766},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5999000072479248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5924000144004822},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5809999704360962},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.461899995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39410001039505005},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2919999957084656},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.28630000352859497},{"id":"https://openalex.org/C56951928","wikidata":"https://www.wikidata.org/wiki/Q3539213","display_name":"Trimming","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25429999828338623},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.25040000677108765},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwqos65803.2025.11143407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwqos65803.2025.11143407","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2028604378","https://openalex.org/W2143891888","https://openalex.org/W2171867449","https://openalex.org/W2821372324","https://openalex.org/W2900100055","https://openalex.org/W2930500175","https://openalex.org/W2964015378","https://openalex.org/W2970739572","https://openalex.org/W2999561215","https://openalex.org/W3092126302","https://openalex.org/W3155331679","https://openalex.org/W3155949183","https://openalex.org/W3187682244","https://openalex.org/W3214344667","https://openalex.org/W4200087249","https://openalex.org/W4200347562","https://openalex.org/W4231449374","https://openalex.org/W4286588841","https://openalex.org/W4290927880","https://openalex.org/W4372338130","https://openalex.org/W4379116150","https://openalex.org/W4382203537","https://openalex.org/W4384345623","https://openalex.org/W4385568087","https://openalex.org/W4389158453","https://openalex.org/W4399915991","https://openalex.org/W4400582267"],"related_works":[],"abstract_inverted_index":{"Microservice":[0],"applications":[1],"consist":[2],"of":[3,25],"complex":[4],"API":[5],"invocation":[6],"relationships,":[7],"where":[8],"a":[9,40,65,85],"single":[10],"fault":[11,103],"can":[12],"propagate":[13],"through":[14],"multiple":[15],"paths,":[16],"leading":[17],"to":[18,97],"widespread":[19],"failures.":[20],"The":[21,51],"diverse":[22],"propagation":[23,104],"patterns":[24],"different":[26],"faults":[27],"make":[28],"efficient":[29],"and":[30,49,72,81,83,94,123],"interpretable":[31],"root":[32,60,99],"cause":[33,61],"analysis":[34,96,131],"(RCA)":[35],"crucial.":[36],"We":[37],"propose":[38],"CauseLens,":[39],"causality-based":[41],"unsupervised":[42],"RCA":[43,118,137],"framework":[44],"that":[45,55,112],"improves":[46],"both":[47],"accuracy":[48],"interpretability.":[50],"key":[52],"insight":[53],"is":[54],"fine-grained":[56],"causal":[57,67,87],"modeling":[58],"enhances":[59],"localization.":[62],"CauseLens":[63,113],"constructs":[64],"heterogeneous":[66],"diagram":[68],"at":[69],"the":[70],"operation":[71],"entity":[73],"levels":[74],"using":[75],"normal":[76],"monitoring":[77],"data":[78],"(i.e.,":[79],"metrics":[80],"traces)":[82],"trains":[84],"structural":[86],"model.":[88],"It":[89],"then":[90],"integrates":[91],"reconstruction":[92],"error":[93],"counterfactual":[95],"identify":[98],"causes":[100],"while":[101,129],"revealing":[102],"paths.":[105],"Experiments":[106],"on":[107],"two":[108],"microservice":[109],"datasets":[110],"demonstrate":[111],"outperforms":[114],"state-of-the-art":[115],"methods":[116],"in":[117,138],"accuracy.":[119],"Further":[120],"ablation":[121],"studies":[122],"parameter":[124],"experiments":[125],"validate":[126],"its":[127,133],"design,":[128],"overhead":[130],"confirms":[132],"feasibility":[134],"for":[135],"real-time":[136],"production":[139],"environments.":[140]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}