{"id":"https://openalex.org/W4385189923","doi":"https://doi.org/10.1145/3583133.3595841","title":"Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming Approach","display_name":"Multi-Step-Ahead Web Service QoS Time Series Forecasting: A Multi-Predictor-Based Genetic Programming Approach","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385189923","doi":"https://doi.org/10.1145/3583133.3595841"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3595841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3595841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","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/A5081044561","display_name":"Yang Syu","orcid":"https://orcid.org/0000-0003-0673-1990"},"institutions":[{"id":"https://openalex.org/I49645291","display_name":"National Taipei University of Education","ror":"https://ror.org/02bzpph30","country_code":"TW","type":"education","lineage":["https://openalex.org/I49645291"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yang Syu","raw_affiliation_strings":["Department of Information Science, National Taipei University of Education, Taipei city, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Science, National Taipei University of Education, Taipei city, Taiwan","institution_ids":["https://openalex.org/I49645291"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074351863","display_name":"Yong\u2010Yi Fanjiang","orcid":"https://orcid.org/0000-0003-2902-7226"},"institutions":[{"id":"https://openalex.org/I114150738","display_name":"Fu Jen Catholic University","ror":"https://ror.org/04je98850","country_code":"TW","type":"education","lineage":["https://openalex.org/I114150738"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yong-Yi Fanjiang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Fu Jen Catholic University, New Taipei City, Taiwan","institution_ids":["https://openalex.org/I114150738"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5081044561"],"corresponding_institution_ids":["https://openalex.org/I49645291"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0777716,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"43","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9965999722480774,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9965999722480774,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9726999998092651,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8664164543151855},{"id":"https://openalex.org/keywords/exponential-smoothing","display_name":"Exponential smoothing","score":0.8330857753753662},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7791259288787842},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6053224802017212},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5828129053115845},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.5389521718025208},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.510097324848175},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.47693532705307007},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4727120101451874},{"id":"https://openalex.org/keywords/web-service","display_name":"Web service","score":0.4252014756202698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40380170941352844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36689651012420654},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3401954770088196},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33991920948028564},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10165336728096008},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08957654237747192}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8664164543151855},{"id":"https://openalex.org/C133710760","wikidata":"https://www.wikidata.org/wiki/Q775837","display_name":"Exponential smoothing","level":2,"score":0.8330857753753662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7791259288787842},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6053224802017212},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5828129053115845},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.5389521718025208},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.510097324848175},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.47693532705307007},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4727120101451874},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.4252014756202698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40380170941352844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36689651012420654},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3401954770088196},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33991920948028564},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10165336728096008},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08957654237747192},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3595841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3595841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2319129588","https://openalex.org/W2529198414","https://openalex.org/W2756143483","https://openalex.org/W2902784448","https://openalex.org/W3025398463","https://openalex.org/W3084933700","https://openalex.org/W3127303276","https://openalex.org/W4285805401"],"related_works":["https://openalex.org/W4387220233","https://openalex.org/W2955496313","https://openalex.org/W4220924527","https://openalex.org/W3215481666","https://openalex.org/W3097024643","https://openalex.org/W4220732081","https://openalex.org/W3124446684","https://openalex.org/W3184066977","https://openalex.org/W2780303826","https://openalex.org/W2162190428"],"abstract_inverted_index":{"Previously,":[0],"in":[1,34,77,94,101],"a":[2,10,48],"GECCO":[3],"2022":[4],"Hot-off-the-Press":[5],"paper":[6],"[1],":[7],"we":[8],"presented":[9],"comprehensive":[11],"survey":[12],"of":[13,18,23,54,79,109,117,153],"the":[14,31,51,104,123,128,154],"modeling":[15,81],"and":[16,43,69,82,107,126,144],"prediction":[17,116],"Web":[19],"service":[20,24],"(WS)":[21],"quality":[22],"(QoS)":[25],"time":[26,114,134],"series":[27,115,135],"[2].":[28],"Based":[29],"on":[30],"exhaustive":[32],"investigation":[33],"[2],":[35],"this":[36,55,150],"research":[37],"subject":[38],"has":[39,91],"already":[40],"been":[41,92],"deeply":[42],"widely":[44,131],"studied":[45],"for":[46,50,103],"over":[47],"decade;":[49],"one-step-ahead":[52],"version":[53,152],"problem,":[56],"which":[57,90],"can":[58],"be":[59],"considered":[60],"its":[61],"most":[62,130],"primitive":[63],"problem":[64],"form,":[65],"overall,":[66],"our":[67,87],"proposed":[68],"developed":[70],"genetic":[71],"programming":[72],"(GP)-based":[73],"solution":[74],"outperforms":[75],"competitors":[76],"terms":[78],"both":[80],"forecasting":[83],"accuracy,":[84],"according":[85],"to":[86,148],"ongoing":[88],"study,":[89],"reported":[93],"[3]":[95],"[4]":[96],"[5].":[97],"Nevertheless,":[98],"as":[99],"argued":[100],"[6],":[102],"long-term":[105],"use":[106],"rental":[108],"cloud-based":[110],"WSs,":[111],"multi-step-ahead":[112],"QoS":[113],"these":[118],"services":[119],"is":[120],"needed.":[121],"Thus,":[122],"authors":[124],"employed":[125],"revised":[127],"two":[129],"used":[132],"single-predictor-based":[133],"methods,":[136],"namely,":[137],"autoregressive":[138],"integrated":[139],"moving":[140],"average":[141],"(ARIMA)":[142],"models":[143],"exponential":[145],"smoothing":[146],"(ES),":[147],"address":[149],"latest":[151],"problem.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}