{"id":"https://openalex.org/W2562873010","doi":"https://doi.org/10.1109/ccis.2016.7790220","title":"Online personalized QoS prediction approach for cloud services","display_name":"Online personalized QoS prediction approach for cloud services","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2562873010","doi":"https://doi.org/10.1109/ccis.2016.7790220","mag":"2562873010"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2016.7790220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2016.7790220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5023419869","display_name":"Jianlong Xu","orcid":"https://orcid.org/0000-0003-2826-9282"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Xu","raw_affiliation_strings":["College of Science, Shantou University, Shantou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000582109","display_name":"Zibin Zheng","orcid":"https://orcid.org/0000-0002-7878-4330"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zheng","raw_affiliation_strings":["School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043499959","display_name":"Zhun Fan","orcid":"https://orcid.org/0000-0002-4232-8229"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhun Fan","raw_affiliation_strings":["Department of Electronics Engineering, Shantou University, Shantou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100771827","display_name":"Wenhua Liu","orcid":"https://orcid.org/0000-0001-6218-1239"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Liu","raw_affiliation_strings":["College of Science, Shantou University, Shantou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Shantou University, Shantou, China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5909,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7477013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"32","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"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/T11478","display_name":"Caching and Content Delivery","score":0.9991999864578247,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9923999905586243,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9801999926567078,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8419023752212524},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.8065495491027832},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7936848402023315},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.6697266697883606},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5291450619697571},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46924638748168945},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4585849940776825},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44477200508117676},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.42301130294799805},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3896123170852661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38296931982040405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36996549367904663},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2201021909713745},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09302395582199097},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07449716329574585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8419023752212524},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.8065495491027832},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7936848402023315},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.6697266697883606},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5291450619697571},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46924638748168945},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4585849940776825},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44477200508117676},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.42301130294799805},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3896123170852661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38296931982040405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36996549367904663},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2201021909713745},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09302395582199097},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07449716329574585},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2016.7790220","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2016.7790220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44999998807907104},{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1499021337","https://openalex.org/W1965310012","https://openalex.org/W1979767694","https://openalex.org/W1981146784","https://openalex.org/W2030239032","https://openalex.org/W2037111396","https://openalex.org/W2057763140","https://openalex.org/W2058269967","https://openalex.org/W2073178357","https://openalex.org/W2077723394","https://openalex.org/W2090128494","https://openalex.org/W2090386095","https://openalex.org/W2092513324","https://openalex.org/W2093463630","https://openalex.org/W2109966714","https://openalex.org/W2112447569","https://openalex.org/W2116629381","https://openalex.org/W2121436309","https://openalex.org/W2123427850","https://openalex.org/W2134130436","https://openalex.org/W2137245235","https://openalex.org/W2152208379","https://openalex.org/W2170551306","https://openalex.org/W2171500111","https://openalex.org/W2182261282","https://openalex.org/W2195635396","https://openalex.org/W2294634757","https://openalex.org/W2295458067","https://openalex.org/W2331754231","https://openalex.org/W3098915788","https://openalex.org/W4240544334","https://openalex.org/W4292022450","https://openalex.org/W6629610187","https://openalex.org/W6674087224","https://openalex.org/W6676727762","https://openalex.org/W6680008295","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4206903459","https://openalex.org/W2754816816","https://openalex.org/W4366280654","https://openalex.org/W3160167280","https://openalex.org/W4231621013","https://openalex.org/W4362706668","https://openalex.org/W3008318776","https://openalex.org/W1977633006","https://openalex.org/W2041416246","https://openalex.org/W3020853991"],"abstract_inverted_index":{"Personalized":[0],"Quality-of-Service":[1],"(QoS)":[2],"prediction":[3,44],"is":[4],"an":[5,29,40],"indispensable":[6],"technique":[7],"to":[8,71],"select":[9],"suitable":[10],"services":[11],"for":[12,46],"service-based":[13],"cloud":[14,47],"applications.":[15],"Considering":[16],"the":[17,58,73,86],"dynamic":[18],"nature":[19],"of":[20,61,90],"services,":[21],"efficiently":[22],"and":[23,31,65,88],"accurately":[24],"predicting":[25],"QoS":[26,43],"value":[27],"becomes":[28],"urgent":[30],"crucial":[32],"research":[33],"issue.":[34],"In":[35],"this":[36],"paper,":[37],"we":[38],"propose":[39],"online":[41,50,62],"personalized":[42],"approach":[45],"service,":[48],"namely":[49],"learning":[51],"based":[52],"matrix":[53,63],"factorization":[54,64],"(OLMF).":[55],"We":[56],"build":[57],"objective":[59],"function":[60],"use":[66],"stochastic":[67],"gradient":[68],"descent":[69],"algorithm":[70],"solve":[72],"function.":[74],"Extensive":[75],"experiments":[76],"are":[77],"conducted":[78],"on":[79],"real":[80],"world":[81],"public":[82],"datasets,":[83],"which":[84],"verify":[85],"effectiveness":[87],"efficiency":[89],"our":[91],"proposed":[92],"approach.":[93]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}