{"id":"https://openalex.org/W2933291424","doi":"https://doi.org/10.1145/3302541.3313101","title":"Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems?","display_name":"Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems?","publication_year":2019,"publication_date":"2019-03-27","ids":{"openalex":"https://openalex.org/W2933291424","doi":"https://doi.org/10.1145/3302541.3313101","mag":"2933291424"},"language":"en","primary_location":{"id":"doi:10.1145/3302541.3313101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302541.3313101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2019 ACM/SPEC International Conference on Performance Engineering","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/A5038819259","display_name":"Andreas Sch\u00f6rgenhumer","orcid":null},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Andreas Sch\u00f6rgenhumer","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015021374","display_name":"Mario Kahlhofer","orcid":"https://orcid.org/0000-0002-6820-4953"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Mario Kahlhofer","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017108223","display_name":"Paul Gr\u00fcnbacher","orcid":"https://orcid.org/0000-0002-1951-5288"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Paul Gr\u00fcnbacher","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011678778","display_name":"Hanspeter M\u00f6ssenb\u00f6ck","orcid":"https://orcid.org/0000-0001-7706-7308"},"institutions":[{"id":"https://openalex.org/I121883995","display_name":"Johannes Kepler University of Linz","ror":"https://ror.org/052r2xn60","country_code":"AT","type":"education","lineage":["https://openalex.org/I121883995"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Hanspeter M\u00f6ssenb\u00f6ck","raw_affiliation_strings":["Johannes Kepler University Linz, Linz, Austria"],"affiliations":[{"raw_affiliation_string":"Johannes Kepler University Linz, Linz, Austria","institution_ids":["https://openalex.org/I121883995"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038819259"],"corresponding_institution_ids":["https://openalex.org/I121883995"],"apc_list":null,"apc_paid":null,"fwci":0.7074,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7221721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9993000030517578,"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":0.9993000030517578,"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/T10260","display_name":"Software Engineering Research","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7532823085784912},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6194190979003906},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5937228798866272},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.583168089389801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5361295938491821},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5245402455329895},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.49939799308776855},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4678198993206024},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4340140223503113},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4245191812515259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532823085784912},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6194190979003906},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5937228798866272},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.583168089389801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5361295938491821},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5245402455329895},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.49939799308776855},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4678198993206024},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4340140223503113},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4245191812515259},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3302541.3313101","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3302541.3313101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2019 ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311813","display_name":"\u00d6sterreichische Nationalstiftung f\u00fcr Forschung, Technologie und Entwicklung","ror":"https://ror.org/04hb33h70"},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320323591","display_name":"Christian Doppler Forschungsgesellschaft","ror":"https://ror.org/00mv8h305"},{"id":"https://openalex.org/F4320327593","display_name":"Bundesministerium f\u00fcr Digitalisierung und Wirtschaftsstandort","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1990867478","https://openalex.org/W2023417725","https://openalex.org/W2053391937","https://openalex.org/W2081503608","https://openalex.org/W2101234009","https://openalex.org/W2125693462","https://openalex.org/W2134274113","https://openalex.org/W2136706100","https://openalex.org/W2141041105","https://openalex.org/W2141676918","https://openalex.org/W2148508494","https://openalex.org/W2164463086","https://openalex.org/W2187089797","https://openalex.org/W2502717946","https://openalex.org/W2577261366","https://openalex.org/W2592735969","https://openalex.org/W2603623653","https://openalex.org/W2766521509","https://openalex.org/W2808242862","https://openalex.org/W2885176127","https://openalex.org/W2929814060"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660","https://openalex.org/W4288388567","https://openalex.org/W4282583532","https://openalex.org/W4256076151"],"abstract_inverted_index":{"Predicting":[0],"performance-related":[1],"events":[2,61],"is":[3,78],"an":[4,47],"important":[5],"part":[6],"of":[7,20,72,83,90,107],"proactive":[8],"fault":[9],"management.":[10],"As":[11],"a":[12],"result,":[13],"many":[14],"approaches":[15],"exist":[16],"for":[17,49,62],"the":[18,70,105],"context":[19],"single":[21],"systems.":[22,64,93],"Surprisingly,":[23],"despite":[24],"its":[25],"potential":[26],"benefits,":[27],"multi-system":[28,50,97],"event":[29,51],"prediction,":[30],"i.e.,":[31],"using":[32],"data":[33,57,89],"from":[34],"multiple,":[35],"independent":[36,92],"systems,":[37],"has":[38],"received":[39],"less":[40],"attention.":[41],"We":[42,65,94],"present":[43,66],"ongoing":[44],"work":[45],"towards":[46],"approach":[48],"prediction":[52,116],"that":[53],"works":[54],"with":[55,118],"limited":[56],"and":[58,101,120,124],"can":[59],"predict":[60],"new":[63],"initial":[67],"results":[68,113],"showing":[69],"feasibility":[71],"our":[73],"approach.":[74],"Our":[75],"preliminary":[76],"evaluation":[77],"based":[79],"on":[80],"20":[81],"days":[82],"continuous,":[84],"preprocessed":[85],"monitoring":[86],"time":[87],"series":[88],"90":[91],"created":[95],"five":[96],"machine":[98,109],"learning":[99,110],"models":[100],"compared":[102],"them":[103],"to":[104],"performance":[106],"single-system":[108],"models.":[111],"The":[112],"show":[114],"promising":[115],"capabilities":[117],"accuracies":[119],"F1-scores":[121],"over":[122],"90%":[123],"false-positive-rates":[125],"below":[126],"10%.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}