{"id":"https://openalex.org/W4304820061","doi":"https://doi.org/10.1109/ipccc55026.2022.9894353","title":"Higher-order Markov Graph based Bug Detection in Cloud-based Deployments","display_name":"Higher-order Markov Graph based Bug Detection in Cloud-based Deployments","publication_year":2022,"publication_date":"2022-10-12","ids":{"openalex":"https://openalex.org/W4304820061","doi":"https://doi.org/10.1109/ipccc55026.2022.9894353"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc55026.2022.9894353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc55026.2022.9894353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5101866898","display_name":"Qing Cao","orcid":"https://orcid.org/0000-0001-5826-2140"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Cao","raw_affiliation_strings":["University of Tennessee,Department of EECS,Knoxville,TN,USA","Department of EECS, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of EECS,Knoxville,TN,USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of EECS, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004724701","display_name":"Haoran Niu","orcid":"https://orcid.org/0000-0001-5522-8297"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haoran Niu","raw_affiliation_strings":["University of Tennessee,Department of EECS,Knoxville,TN,USA","Department of EECS, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tennessee,Department of EECS,Knoxville,TN,USA","institution_ids":["https://openalex.org/I75027704"]},{"raw_affiliation_string":"Department of EECS, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2852,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58533022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"153","last_page":"160"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9915000200271606,"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.972100019454956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7217682600021362},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.7158323526382446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115986347198486},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5613282322883606},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5253721475601196},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.45165857672691345},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36132800579071045}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7217682600021362},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.7158323526382446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115986347198486},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5613282322883606},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5253721475601196},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.45165857672691345},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36132800579071045},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc55026.2022.9894353","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc55026.2022.9894353","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1919179112","https://openalex.org/W1990089904","https://openalex.org/W2021046139","https://openalex.org/W2032280284","https://openalex.org/W2094924503","https://openalex.org/W2096017373","https://openalex.org/W2121927068","https://openalex.org/W2125048869","https://openalex.org/W2157547297","https://openalex.org/W2247894828","https://openalex.org/W2508465325","https://openalex.org/W2560021099","https://openalex.org/W2734941459","https://openalex.org/W2765249176","https://openalex.org/W2767094836","https://openalex.org/W2778000855","https://openalex.org/W2803691889","https://openalex.org/W2947815220","https://openalex.org/W2965838158","https://openalex.org/W3007085060","https://openalex.org/W3095840026","https://openalex.org/W3103578494","https://openalex.org/W3108642152","https://openalex.org/W3196379023","https://openalex.org/W3212703167","https://openalex.org/W6632550495","https://openalex.org/W6712994927","https://openalex.org/W6747072605","https://openalex.org/W6764791836"],"related_works":["https://openalex.org/W4321442002","https://openalex.org/W2015265939","https://openalex.org/W2284072287","https://openalex.org/W2611067230","https://openalex.org/W2480201319","https://openalex.org/W2387706296","https://openalex.org/W2155788121","https://openalex.org/W4235469518","https://openalex.org/W362492756","https://openalex.org/W2294325978"],"abstract_inverted_index":{"Detecting":[0],"execution":[1],"anomalies":[2,48,91],"is":[3,161],"an":[4],"integral":[5],"part":[6],"of":[7,21,61,66,74],"building":[8],"and":[9,28,41,70,86,139,142,163],"protecting":[10],"modern":[11],"large-scale":[12],"distributed":[13],"systems.":[14],"These":[15],"systems":[16],"generate":[17],"a":[18,33,53,110,121],"large":[19],"volume":[20],"system":[22,26,39],"logs":[23,138],"to":[24,36,56,99,131],"record":[25],"state":[27],"significant":[29],"events,":[30,69],"which":[31,119],"provide":[32],"valuable":[34],"resource":[35],"help":[37],"debug":[38],"failures":[40],"perform":[42],"root":[43],"cause":[44],"analysis.":[45],"However,":[46],"detecting":[47],"in":[49,88],"log":[50,75,103,134,144,157],"sequences":[51],"remains":[52],"challenge":[54],"due":[55],"reasons":[57],"including":[58],"the":[59,62,64,71,101,154],"imbalance":[60],"data,":[63],"complexity":[65],"relationships":[67],"between":[68],"high":[72],"dimensionality":[73],"events.":[76],"Traditional":[77],"graph-based":[78,113,156],"models":[79],"may":[80],"lose":[81],"important":[82],"higher-order":[83,90,143],"sequence":[84],"patterns":[85,135,145],"result":[87],"undetectable":[89],"because":[92],"they":[93],"use":[94],"first-order":[95,141],"or":[96],"fixed-order":[97],"networks":[98],"represent":[100],"underlying":[102],"data.":[104,150],"In":[105],"this":[106],"paper,":[107],"we":[108],"propose":[109],"novel":[111],"unsupervised":[112],"anomaly":[114,158],"detection":[115,159],"method,":[116],"called":[117],"GraphLog,":[118],"utilizes":[120],"variable":[122,127],"high-order":[123],"network":[124],"representation.":[125],"This":[126],"representation":[128],"enables":[129],"GraphLog":[130],"efficiently":[132],"learn":[133],"from":[136,148],"normal":[137,149],"detect":[140],"that":[146,153],"deviate":[147],"We":[151],"demonstrate":[152],"proposed":[155],"algorithm":[160],"effective,":[162],"it":[164],"outperforms":[165],"other":[166],"baseline":[167],"methods":[168],"when":[169],"trained":[170],"using":[171],"two":[172],"real-world":[173],"datasets.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
