{"id":"https://openalex.org/W1982394025","doi":"https://doi.org/10.1145/2479871.2479899","title":"Self-adaptive workload classification and forecasting for proactive resource provisioning","display_name":"Self-adaptive workload classification and forecasting for proactive resource provisioning","publication_year":2013,"publication_date":"2013-04-21","ids":{"openalex":"https://openalex.org/W1982394025","doi":"https://doi.org/10.1145/2479871.2479899","mag":"1982394025"},"language":"en","primary_location":{"id":"doi:10.1145/2479871.2479899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2479871.2479899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th 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/A5051881330","display_name":"Nikolas Herbst","orcid":"https://orcid.org/0000-0003-3462-6426"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nikolas Roman Herbst","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany","Karlsruhe Institute of Technology, Karlsruhe,#N#Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe,#N#Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063304626","display_name":"Nikolaus Huber","orcid":"https://orcid.org/0000-0002-2371-5645"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nikolaus Huber","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany","Karlsruhe Institute of Technology, Karlsruhe,#N#Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe,#N#Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013790674","display_name":"Samuel Kounev","orcid":"https://orcid.org/0000-0001-9742-2063"},"institutions":[{"id":"https://openalex.org/I102335020","display_name":"Karlsruhe Institute of Technology","ror":"https://ror.org/04t3en479","country_code":"DE","type":"education","lineage":["https://openalex.org/I102335020","https://openalex.org/I1305996414"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Samuel Kounev","raw_affiliation_strings":["Karlsruhe Institute of Technology, Karlsruhe, Germany","Karlsruhe Institute of Technology, Karlsruhe,#N#Germany"],"affiliations":[{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe, Germany","institution_ids":["https://openalex.org/I102335020"]},{"raw_affiliation_string":"Karlsruhe Institute of Technology, Karlsruhe,#N#Germany","institution_ids":["https://openalex.org/I102335020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050906866","display_name":"Erich Amrehn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095996","display_name":"IBM (Germany)","ror":"https://ror.org/00pm7rm97","country_code":"DE","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210095996"]},{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Erich Amrehn","raw_affiliation_strings":["IBM Research &amp; Development, Boeblingen, Germany","IBM Research and Development, Boeblingen, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"IBM Research &amp; Development, Boeblingen, Germany","institution_ids":["https://openalex.org/I4210095996"]},{"raw_affiliation_string":"IBM Research and Development, Boeblingen, Germany#TAB#","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051881330"],"corresponding_institution_ids":["https://openalex.org/I102335020"],"apc_list":null,"apc_paid":null,"fwci":9.5762,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":{"value":0.98553356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"187","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9925000071525574,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9925000071525574,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9904999732971191,"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":0.9891999959945679,"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/workload","display_name":"Workload","score":0.8676398992538452},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8150259852409363},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.6932383179664612},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6076406240463257},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5330860614776611},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5299735069274902},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5077506303787231},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4973352253437042},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.4790531396865845},{"id":"https://openalex.org/keywords/capacity-planning","display_name":"Capacity planning","score":0.4584990441799164},{"id":"https://openalex.org/keywords/enterprise-resource-planning","display_name":"Enterprise resource planning","score":0.4407254755496979},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4373210072517395},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.4228881597518921},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3813718855381012},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3759970963001251},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.24597737193107605}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.8676398992538452},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8150259852409363},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.6932383179664612},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6076406240463257},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5330860614776611},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5299735069274902},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5077506303787231},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4973352253437042},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.4790531396865845},{"id":"https://openalex.org/C2781007418","wikidata":"https://www.wikidata.org/wiki/Q1456934","display_name":"Capacity planning","level":2,"score":0.4584990441799164},{"id":"https://openalex.org/C2777960535","wikidata":"https://www.wikidata.org/wiki/Q131508","display_name":"Enterprise resource planning","level":2,"score":0.4407254755496979},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4373210072517395},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.4228881597518921},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3813718855381012},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3759970963001251},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.24597737193107605},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2479871.2479899","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2479871.2479899","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W29489787","https://openalex.org/W39062624","https://openalex.org/W139541242","https://openalex.org/W144463632","https://openalex.org/W149730265","https://openalex.org/W205106335","https://openalex.org/W657435817","https://openalex.org/W1506451709","https://openalex.org/W1544274373","https://openalex.org/W1969687573","https://openalex.org/W1969793315","https://openalex.org/W1981825395","https://openalex.org/W2003020421","https://openalex.org/W2005864863","https://openalex.org/W2010636948","https://openalex.org/W2016210396","https://openalex.org/W2031408742","https://openalex.org/W2049165903","https://openalex.org/W2062154437","https://openalex.org/W2109316012","https://openalex.org/W2114209105","https://openalex.org/W2116512828","https://openalex.org/W2117996123","https://openalex.org/W2151423816","https://openalex.org/W2153819496","https://openalex.org/W2158978812","https://openalex.org/W2160756722","https://openalex.org/W2162293229","https://openalex.org/W2313953460","https://openalex.org/W2477834368","https://openalex.org/W4230410911"],"related_works":["https://openalex.org/W2313277421","https://openalex.org/W2895732205","https://openalex.org/W2534224494","https://openalex.org/W2003799830","https://openalex.org/W2360147445","https://openalex.org/W2766857375","https://openalex.org/W2146057175","https://openalex.org/W78312167","https://openalex.org/W4237577149","https://openalex.org/W2783023127"],"abstract_inverted_index":{"As":[0,69],"modern":[1],"enterprise":[2],"software":[3],"systems":[4],"become":[5],"increasingly":[6],"dynamic,":[7],"workload":[8,36,49,149],"forecasting":[9,50,78,110,138,190],"techniques":[10],"are":[11],"gaining":[12],"in":[13,45,193],"importance":[14],"as":[15],"a":[16,29,70,74,103,113,118,127,202,213],"foundation":[17],"for":[18,112],"online":[19],"capacity":[20],"planning":[21],"and":[22,57,88,90,121,143,161,207],"resource":[23,224],"management.":[24],"Time":[25],"series":[26,83],"analysis":[27,84],"offers":[28],"broad":[30],"spectrum":[31],"of":[32,48,80,156,169,178,209,212,231],"methods":[33,56,79,111],"to":[34,94,133,187],"calculate":[35],"forecasts":[37],"based":[38,116,146,226],"on":[39,53,63,76,117,147,197,227],"history":[40],"monitoring":[41],"data.":[42],"Related":[43],"work":[44],"the":[46,81,157,175,179,210,228],"field":[47],"mostly":[51],"concentrates":[52],"evaluating":[54],"specific":[55],"their":[58,86,95],"individual":[59,180],"optimisation":[60],"potential":[61],"or":[62],"predicting":[64],"Quality-of-Service":[65],"(QoS)":[66],"metrics":[67],"directly.":[68],"basis,":[71],"we":[72,101,151],"present":[73],"survey":[75],"established":[77],"time":[82],"concerning":[85],"benefits":[87],"drawbacks":[89],"group":[91],"them":[92],"according":[93],"computational":[96],"overheads.":[97],"In":[98,140,201],"this":[99,170],"paper,":[100],"propose":[102],"novel":[104],"self-adaptive":[105],"approach":[106,158],"that":[107,153,174],"selects":[108],"suitable":[109],"given":[114,214],"context":[115],"decision":[119],"tree":[120],"direct":[122],"feedback":[123],"cycles":[124],"together":[125],"with":[126],"corresponding":[128],"implementation.":[129,233],"The":[130,167],"user":[131],"needs":[132],"provide":[134],"only":[135],"his":[136],"general":[137],"objectives.":[139],"several":[141],"experiments":[142],"case":[144,203],"studies":[145],"real-world":[148],"traces,":[150],"show":[152,173],"our":[154,232],"implementation":[155],"provides":[159],"continuous":[160],"reliable":[162],"forecast":[163,181,229],"results":[164,168,230],"at":[165],"run-time.":[166],"extensive":[171],"evaluation":[172],"relative":[176],"error":[177],"points":[182],"is":[183],"significantly":[184],"reduced":[185],"compared":[186],"statically":[188],"applied":[189],"methods,":[191],"e.g.":[192],"an":[194],"exemplary":[195],"scenario":[196],"average":[198],"by":[199,221],"37%.":[200],"study,":[204],"between":[205],"55%":[206],"75%":[208],"violations":[211],"service":[215],"level":[216],"agreement":[217],"can":[218],"be":[219],"prevented":[220],"applying":[222],"proactive":[223],"provisioning":[225]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
