{"id":"https://openalex.org/W4319309885","doi":"https://doi.org/10.1145/3571697.3571706","title":"Endpoint-Performance-Monitoring for a better End-User Experience","display_name":"Endpoint-Performance-Monitoring for a better End-User Experience","publication_year":2022,"publication_date":"2022-10-27","ids":{"openalex":"https://openalex.org/W4319309885","doi":"https://doi.org/10.1145/3571697.3571706"},"language":"en","primary_location":{"id":"doi:10.1145/3571697.3571706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571697.3571706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 3rd European Symposium on Software 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/A5073434292","display_name":"Sven Beckmann","orcid":"https://orcid.org/0000-0002-5222-954X"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sven Beckmann","raw_affiliation_strings":["University of Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049252307","display_name":"Jonas Till","orcid":"https://orcid.org/0000-0001-9745-8621"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jonas Till","raw_affiliation_strings":["University of Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103130753","display_name":"Bernhard Bauer","orcid":"https://orcid.org/0000-0002-7931-1105"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Bauer","raw_affiliation_strings":["University of Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073434292"],"corresponding_institution_ids":["https://openalex.org/I179225836"],"apc_list":null,"apc_paid":null,"fwci":0.2758,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64714333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9904000163078308,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7275826334953308},{"id":"https://openalex.org/keywords/end-user","display_name":"End user","score":0.6004865169525146},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5869661569595337},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4885471761226654},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.45922935009002686},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44728511571884155},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.4423930048942566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3474871516227722},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.32706478238105774},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19434809684753418},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.18952810764312744},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16242864727973938},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12411436438560486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275826334953308},{"id":"https://openalex.org/C91262260","wikidata":"https://www.wikidata.org/wiki/Q528074","display_name":"End user","level":2,"score":0.6004865169525146},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5869661569595337},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4885471761226654},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.45922935009002686},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44728511571884155},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.4423930048942566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3474871516227722},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.32706478238105774},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19434809684753418},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.18952810764312744},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16242864727973938},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12411436438560486},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3571697.3571706","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3571697.3571706","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 The 3rd European Symposium on Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1995443851","https://openalex.org/W2122646361","https://openalex.org/W2137130182","https://openalex.org/W2140190241","https://openalex.org/W2901773810","https://openalex.org/W2908022770","https://openalex.org/W2963197901","https://openalex.org/W2966559104","https://openalex.org/W4230765542"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W3186512740","https://openalex.org/W3017266184","https://openalex.org/W2918377632","https://openalex.org/W3194885736","https://openalex.org/W3046391934","https://openalex.org/W4363671829"],"abstract_inverted_index":{"In":[0,59,82,226,253],"an":[1,124,203,214,244],"increasingly":[2],"diverse":[3],"and":[4,18,30,44,74,76,80,103,107,126,137,164],"complex":[5],"digital":[6,40],"world":[7],"a":[8,57,94,127,161,182,194],"key":[9],"challenge":[10],"for":[11,84,130,191],"companies":[12],"is":[13,93,99,141,179,189,205,224,229],"to":[14,27,47,100,108,117,142,231,263],"maximize":[15],"the":[16,25,32,49,54,85,90,110,113,156,173,177,187,198,210,247,261,265],"productivity":[17],"motivation":[19],"of":[20,56,72,78,112,166,209,217,268],"their":[21,39],"office":[22],"workers.":[23],"Thus,":[24],"task":[26],"measure,":[28],"analyze":[29],"optimize":[31],"experience":[33,63,92,106,140,267],"that":[34,213],"these":[35],"employees":[36],"have":[37,243],"with":[38],"devices":[41],"becomes":[42],"more":[43,45],"important":[46],"ensure":[48],"competitiveness":[50],"as":[51,53,69],"well":[52],"attractiveness":[55],"company.":[58],"this":[60,201,254],"paper":[61,122,159],"end-user":[62,91,105,139,251,266],"(EUE)":[64],"includes":[65],"measurable":[66],"aspects":[67],"such":[68],"boot-times,":[70],"performance":[71],"tools":[73],"stability":[75],"availability":[77],"systems":[79],"software.":[81],"particular,":[83],"IT":[86,119,152,170,235],"administration,":[87],"continuously":[88],"optimizing":[89],"considerable":[95],"challenge.":[96],"Our":[97],"vision":[98],"efficiently":[101],"measure":[102],"quantify":[104],"automate":[109],"optimization":[111],"infrastructure":[114],"in":[115,135,169,200,234,241,260],"order":[116],"support":[118],"administrators.":[120],"This":[121,158],"shows":[123,212],"idea":[125],"first":[128,133,162],"concept":[129],"realization.":[131],"A":[132],"step":[134],"measuring":[136],"evaluating":[138],"identify":[143],"anomalies":[144,233,240],"on":[145,176,246],"endpoints.":[146],"An":[147],"endpoint":[148,218],"can":[149,257],"be":[150,258],"any":[151],"device":[153],"used":[154,259],"by":[155],"end-user.":[157],"presents":[160],"implementation":[163,199],"evaluation":[165,208],"anomaly":[167],"detection":[168],"infrastructures.":[171],"First,":[172],"data":[174,188,220],"collected":[175],"endpoints":[178],"examined":[180],"using":[181,193,221,237],"principal":[183],"component":[184],"analysis.":[185],"Then,":[186],"analyzed":[190],"outliers":[192],"neural":[195],"network.":[196],"For":[197],"paper,":[202],"autoencoder":[204,256],"used.":[206],"The":[207,239],"results":[211],"automated":[215],"assessment":[216],"telemetry":[219],"machine":[222],"learning":[223],"possible.":[225],"summary,":[227],"it":[228],"possible":[230],"detect":[232],"infrastructures":[236],"autoencoders.":[238],"turn":[242],"impact":[245],"current":[248],"or":[249],"future":[250,262],"experience.":[252],"way,":[255],"improve":[264],"employees.":[269]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
