{"id":"https://openalex.org/W2964012106","doi":"https://doi.org/10.1109/cdc.2017.8264527","title":"Data-driven root-cause analysis for distributed system anomalies","display_name":"Data-driven root-cause analysis for distributed system anomalies","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2964012106","doi":"https://doi.org/10.1109/cdc.2017.8264527","mag":"2964012106"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2017.8264527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","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/A5100697052","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0003-0445-4651"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Department of Mechanical Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068665347","display_name":"Kin Gwn Lore","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kin Gwn Lore","raw_affiliation_strings":["Department of Mechanical Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081037761","display_name":"Soumik Sarkar","orcid":"https://orcid.org/0000-0002-6775-9199"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumik Sarkar","raw_affiliation_strings":["Department of Mechanical Engineering, Iowa State University, Ames, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, Iowa State University, Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9940000176429749,"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":0.9940000176429749,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9905999898910522,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.980400025844574,"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/computer-science","display_name":"Computer science","score":0.6461549997329712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5896319150924683},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5487931966781616},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.5289685130119324},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4790029227733612},{"id":"https://openalex.org/keywords/root-cause","display_name":"Root cause","score":0.472598135471344},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4630885720252991},{"id":"https://openalex.org/keywords/complex-system","display_name":"Complex system","score":0.4559841454029083},{"id":"https://openalex.org/keywords/root","display_name":"Root (linguistics)","score":0.44876548647880554},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4485017657279968},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.432149738073349},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41565191745758057},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37389859557151794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14723050594329834},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13915705680847168}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461549997329712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5896319150924683},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5487931966781616},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.5289685130119324},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4790029227733612},{"id":"https://openalex.org/C84945661","wikidata":"https://www.wikidata.org/wiki/Q7366567","display_name":"Root cause","level":2,"score":0.472598135471344},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4630885720252991},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.4559841454029083},{"id":"https://openalex.org/C171078966","wikidata":"https://www.wikidata.org/wiki/Q111029","display_name":"Root (linguistics)","level":2,"score":0.44876548647880554},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4485017657279968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.432149738073349},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41565191745758057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37389859557151794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14723050594329834},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13915705680847168},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2017.8264527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W44815768","https://openalex.org/W562231173","https://openalex.org/W1965555277","https://openalex.org/W1970537494","https://openalex.org/W1997396153","https://openalex.org/W2010626297","https://openalex.org/W2033390084","https://openalex.org/W2053209543","https://openalex.org/W2056117586","https://openalex.org/W2079656335","https://openalex.org/W2096678883","https://openalex.org/W2100495367","https://openalex.org/W2113191728","https://openalex.org/W2134963415","https://openalex.org/W2157028949","https://openalex.org/W2158698691","https://openalex.org/W2207848452","https://openalex.org/W2209759136","https://openalex.org/W2213270912","https://openalex.org/W2286327257","https://openalex.org/W2557743590","https://openalex.org/W2949721659","https://openalex.org/W6688382279"],"related_works":["https://openalex.org/W2030594396","https://openalex.org/W2535098331","https://openalex.org/W4280640835","https://openalex.org/W2885334669","https://openalex.org/W3215790726","https://openalex.org/W2202104725","https://openalex.org/W2354546531","https://openalex.org/W2068689476","https://openalex.org/W4242664608","https://openalex.org/W4255366506"],"abstract_inverted_index":{"Modern":[0],"distributed":[1,74],"cyber-physical":[2,75],"systems":[3,76],"encounter":[4],"a":[5,52,68,93,119,133],"large":[6],"variety":[7],"of":[8,81,92,118,164],"anomalies":[9],"and":[10,86,124,149,193,206,213],"in":[11,43,203],"many":[12],"cases,":[13],"they":[14],"are":[15,152],"vulnerable":[16],"to":[17,23,38,154,220],"catastrophic":[18],"fault":[19,40],"propagation":[20,41],"scenarios":[21],"due":[22,37],"strong":[24],"connectivity":[25],"among":[26,90],"the":[27,79,104,156,162,215],"sub-systems.":[28],"In":[29],"this":[30],"regard,":[31],"root-cause":[32,57,101,169,204],"analysis":[33,58,205],"becomes":[34],"highly":[35],"intractable":[36],"complex":[39,94],"mechanisms":[42],"combination":[44],"with":[45,146,161],"diverse":[46],"operating":[47],"modes.":[48],"This":[49],"paper":[50],"presents":[51],"new":[53],"data-driven":[54],"framework":[55,64,136],"for":[56,59,73,84,100,182],"addressing":[60],"such":[61],"issues.":[62],"The":[63,184],"is":[65,179,218],"based":[66,113,173],"on":[67,78,114,174],"spatiotemporal":[69],"feature":[70],"extraction":[71],"scheme":[72],"built":[77],"concept":[80,117],"symbolic":[82],"dynamics":[83],"discovering":[85],"representing":[87],"causal":[88],"interactions":[89],"subsystems":[91],"system.":[95],"We":[96],"present":[97],"two":[98],"approaches":[99,198],"analysis,":[102],"namely":[103],"sequential":[105],"state":[106],"switching":[107],"(S":[108],"<sup":[109,129,190,195],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110,130,191,196],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[111,131,192,197],",":[112,132],"free":[115],"energy":[116],"Restricted":[120],"Boltzmann":[121],"Machine,":[122],"RBM)":[123],"artificial":[125],"anomaly":[126],"association":[127],"(A":[128],"multi-class":[134],"classification":[135],"using":[137],"deep":[138],"neural":[139],"networks,":[140],"DNN).":[141],"Synthetic":[142],"data":[143],"from":[144],"cases":[145],"failed":[147],"pattern(s)":[148],"anomalous":[150],"node":[151],"simulated":[153],"validate":[155],"proposed":[157,216],"approaches,":[158],"then":[159],"compared":[160],"performance":[163],"vector":[165],"autoregressive":[166],"(VAR)":[167],"model-based":[168],"analysis.":[170],"Real":[171],"dataset":[172],"Tennessee":[175],"Eastman":[176],"process":[177],"(TEP)":[178],"also":[180],"used":[181],"validation.":[183],"results":[185],"show":[186],"that:":[187],"(1)":[188],"S":[189],"A":[194],"can":[199],"obtain":[200],"high":[201,225],"accuracy":[202],"successfully":[207],"handle":[208],"multiple":[209],"nominal":[210],"operation":[211],"modes,":[212],"(2)":[214],"tool-chain":[217],"shown":[219],"be":[221],"scalable":[222],"while":[223],"maintaining":[224],"accuracy.":[226]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
