{"id":"https://openalex.org/W3156226141","doi":"https://doi.org/10.1145/3447545.3451182","title":"Cloud Performance Variability Prediction","display_name":"Cloud Performance Variability Prediction","publication_year":2021,"publication_date":"2021-04-11","ids":{"openalex":"https://openalex.org/W3156226141","doi":"https://doi.org/10.1145/3447545.3451182","mag":"3156226141"},"language":"en","primary_location":{"id":"doi:10.1145/3447545.3451182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447545.3451182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1887/3257066","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101638753","display_name":"Yuxuan Zhao","orcid":"https://orcid.org/0009-0004-3053-1678"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhao","raw_affiliation_strings":["Leiden University, Leiden, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091156524","display_name":"Dmitry Duplyakin","orcid":"https://orcid.org/0000-0001-5132-0168"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitry Duplyakin","raw_affiliation_strings":["University of Utah, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002834603","display_name":"Robert Ricci","orcid":"https://orcid.org/0000-0001-6904-5192"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Ricci","raw_affiliation_strings":["University of Utah, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056738388","display_name":"Alexandru Uta","orcid":"https://orcid.org/0000-0001-5477-2194"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alexandru Uta","raw_affiliation_strings":["Leiden University, Leiden, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Leiden University, Leiden, Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9972000122070312,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9952999949455261,"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":0.9943000078201294,"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/cloud-computing","display_name":"Cloud computing","score":0.8286340236663818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7632790803909302},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6743416786193848},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.5207138657569885},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4876174032688141},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4393761456012726},{"id":"https://openalex.org/keywords/performance-improvement","display_name":"Performance improvement","score":0.4180784523487091},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41502898931503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40111011266708374},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34720224142074585},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.17469292879104614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07279500365257263}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8286340236663818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632790803909302},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6743416786193848},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.5207138657569885},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4876174032688141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4393761456012726},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.4180784523487091},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41502898931503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40111011266708374},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34720224142074585},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.17469292879104614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07279500365257263},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","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":3,"locations":[{"id":"doi:10.1145/3447545.3451182","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447545.3451182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarlypublications.universiteitleiden.nl:item_3257066","is_oa":false,"landing_page_url":"https://hdl.handle.net/1887/3257066","pdf_url":null,"source":{"id":"https://openalex.org/S4306400850","display_name":"Leiden Repository (Leiden University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I121797337","host_organization_name":"Leiden University","host_organization_lineage":["https://openalex.org/I121797337"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the ICPE '21: Companion of the ACM/SPEC International Conference on Performance Engineering","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:ul:oai:scholarlypublications.universiteitleiden.nl:item_3257066","is_oa":true,"landing_page_url":"http://hdl.handle.net/1887/3257066","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the ICPE '21: Companion of the ACM/SPEC International Conference on Performance Engineering, 35 - 40. New York, NY, United States: Association for Computing Machinery","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:ul:oai:scholarlypublications.universiteitleiden.nl:item_3257066","is_oa":true,"landing_page_url":"http://hdl.handle.net/1887/3257066","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the ICPE '21: Companion of the ACM/SPEC International Conference on Performance Engineering, 35 - 40. New York, NY, United States: Association for Computing Machinery","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5232926558","display_name":null,"funder_award_id":"VI.202.195","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G6915130500","display_name":"CloudLab Phase II: Community Infrastructure To Expand the Frontiers of Cloud Computing Research","funder_award_id":"1743363","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G718861848","display_name":"Practical Performance Reproducibility in Cloud Systems Research","funder_award_id":"VI.Veni.202.195","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1494902853","https://openalex.org/W1651603302","https://openalex.org/W1678356000","https://openalex.org/W1793984240","https://openalex.org/W1966042408","https://openalex.org/W1975684011","https://openalex.org/W1982063824","https://openalex.org/W2037027640","https://openalex.org/W2073404525","https://openalex.org/W2141954357","https://openalex.org/W2295598076","https://openalex.org/W2330210193","https://openalex.org/W2525449401","https://openalex.org/W2529099292","https://openalex.org/W2604571800","https://openalex.org/W2768348081","https://openalex.org/W2895690683","https://openalex.org/W2899117404","https://openalex.org/W2952317796","https://openalex.org/W2953498285","https://openalex.org/W2963370739","https://openalex.org/W2997591727","https://openalex.org/W3010056692","https://openalex.org/W3011550952","https://openalex.org/W3089545473","https://openalex.org/W3094727441","https://openalex.org/W3102476541","https://openalex.org/W3132953557","https://openalex.org/W6838583922"],"related_works":["https://openalex.org/W4210891154","https://openalex.org/W3207786695","https://openalex.org/W3183338161","https://openalex.org/W3145540143","https://openalex.org/W2008327491","https://openalex.org/W4200239341","https://openalex.org/W2100997884","https://openalex.org/W2321868906","https://openalex.org/W2174199525","https://openalex.org/W2756782242"],"abstract_inverted_index":{"Cloud":[0],"computing":[1],"plays":[2],"an":[3,45],"essential":[4],"role":[5],"in":[6,104],"our":[7,157],"society":[8],"nowadays.":[9],"Many":[10],"important":[11,46,98],"services":[12],"are":[13],"highly":[14],"dependant":[15],"on":[16,153],"the":[17,21,38,58,76,105,124,127],"stable":[18],"performance":[19,34,50,60,79,85,95,103],"of":[20,33,48,75,94,100,126],"cloud.":[22,106],"However,":[23],"as":[24,119,121],"prior":[25],"work":[26],"has":[27],"shown,":[28],"clouds":[29],"exhibit":[30,62],"large":[31],"degrees":[32],"variability.":[35],"Next":[36],"to":[37,81,151,155],"stochastic":[39],"variation":[40],"induced":[41],"by":[42,54],"noisy":[43],"neighbors,":[44],"facet":[47],"cloud":[49],"variability":[51],"is":[52],"given":[53],"changepoints---the":[55],"instances":[56],"where":[57],"non-stationary":[59],"metrics":[61],"persisting":[63],"changes,":[64],"which":[65],"often":[66],"last":[67],"until":[68],"subsequent":[69],"changepoints":[70,96,128],"occur.":[71],"Such":[72],"undesirable":[73],"artifacts":[74],"unstable":[77],"application":[78,84,102],"lead":[80],"problems":[82],"with":[83],"evaluation":[86],"and":[87,92,112,148],"prediction":[88,138,146],"efforts.":[89],"Thus,":[90],"characterization":[91],"understanding":[93],"become":[97],"elements":[99],"studying":[101],"In":[107],"this":[108],"paper,":[109],"we":[110],"showcase":[111],"tune":[113],"two":[114],"different":[115],"changepoint":[116],"detection":[117],"methods,":[118],"well":[120],"demonstrate":[122],"how":[123,154],"timing":[125],"they":[129],"identify":[130],"can":[131,143],"be":[132],"predicted.":[133],"We":[134],"present":[135],"a":[136],"gradient-boosting-based":[137],"method,":[139],"show":[140],"that":[141],"it":[142],"achieve":[144],"good":[145],"accuracy,":[147],"give":[149],"advice":[150],"practitioners":[152],"use":[156],"results.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}