{"id":"https://openalex.org/W2883281820","doi":"https://doi.org/10.1145/3203217.3203265","title":"Online anomaly detection framework for spark systems via stage-task behavior modeling","display_name":"Online anomaly detection framework for spark systems via stage-task behavior modeling","publication_year":2018,"publication_date":"2018-05-08","ids":{"openalex":"https://openalex.org/W2883281820","doi":"https://doi.org/10.1145/3203217.3203265","mag":"2883281820"},"language":"en","primary_location":{"id":"doi:10.1145/3203217.3203265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3203217.3203265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM International Conference on Computing Frontiers","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/A5053323823","display_name":"Rui Ren","orcid":"https://orcid.org/0000-0003-3362-8083"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Ren","raw_affiliation_strings":["Institute of Computing Technology, CAS and University of Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS and University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101435224","display_name":"Shuai Tian","orcid":"https://orcid.org/0000-0003-0128-9283"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Tian","raw_affiliation_strings":["Kunming University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Kunming University of Science and Technology","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100435758","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-6909-9561"},"institutions":[{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["Institute of Computing Technology, CAS"],"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS","institution_ids":["https://openalex.org/I4210090176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053323823"],"corresponding_institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":1.1072,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80225176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"256","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"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":0.7974590063095093},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7318955063819885},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.7113186717033386},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5067246556282043},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4849112629890442},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4848569631576538},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47136154770851135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4651203155517578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42540451884269714},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4058076739311218},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3309841752052307},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08319452404975891}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7974590063095093},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7318955063819885},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7113186717033386},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5067246556282043},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4849112629890442},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4848569631576538},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47136154770851135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4651203155517578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42540451884269714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4058076739311218},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3309841752052307},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08319452404975891},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3203217.3203265","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3203217.3203265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM International Conference on Computing Frontiers","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":2,"referenced_works":["https://openalex.org/W2485563723","https://openalex.org/W4242050423"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991"],"abstract_inverted_index":{"With":[0],"rapid":[1],"growth":[2],"of":[3,53,102,147],"Big":[4],"Data,":[5],"Apache":[6],"Spark":[7,30,65,112],"has":[8],"been":[9],"in":[10,29],"widespread":[11],"use.":[12],"However,":[13],"with":[14],"the":[15,50,57,63,70,77,84,96,100,108,118,124,137,145,155],"system":[16],"scale":[17],"growing,":[18],"application":[19],"delays":[20],"caused":[21],"by":[22],"abnormal":[23,51,59,97,103,167],"tasks/nodes":[24],"become":[25],"a":[26,130],"common":[27],"problem":[28],"systems.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,47,68,106],"propose":[36],"an":[37],"anomaly":[38,149],"detection":[39,150],"approach":[40],"based":[41],"on":[42,111],"stage-task":[43],"behaviors":[44,86],"modeling.":[45],"First,":[46],"assume":[48],"that":[49,74,144,159],"behavior":[52],"tasks":[54,78],"can":[55],"reflect":[56],"node's":[58],"situation.":[60],"Then,":[61],"from":[62,99],"collected":[64],"runtime":[66],"logs,":[67],"extract":[69],"four-dimension":[71],"feature":[72],"vector":[73],"related":[75],"to":[76,94],"execution":[79],"status,":[80],"and":[81,89,114,133,154],"then":[82],"classify":[83],"task":[85],"as":[87,123],"normal":[88],"abnormal,":[90],"which":[91,128],"is":[92,129,162],"used":[93],"discover":[95],"nodes":[98],"distribution":[101],"tasks.":[104],"Simultaneously,":[105],"build":[107],"online":[109],"framework":[110,161],"Streaming":[113],"it":[115],"could":[116],"integrate":[117],"offline":[119],"learning":[120],"methodologies,":[121],"such":[122],"logical":[125],"regression":[126],"method,":[127],"very":[131],"simple":[132],"powerful":[134],"classifier":[135],"for":[136,165],"low-dimensional":[138],"eigenvectors.":[139],"Additionally,":[140],"our":[141,160],"experiments":[142],"show":[143,158],"accuracy":[146],"realtime":[148],"reaches":[151],"about":[152],"91%,":[153],"given":[156],"cases":[157],"really":[163],"effective":[164],"detecting":[166],"nodes.":[168]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}