{"id":"https://openalex.org/W3162782515","doi":"https://doi.org/10.1109/access.2021.3079207","title":"Performance Prediction Method for Stream Computing Platform Based on Time Series","display_name":"Performance Prediction Method for Stream Computing Platform Based on Time Series","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3162782515","doi":"https://doi.org/10.1109/access.2021.3079207","mag":"3162782515"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3079207","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3079207","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09427466.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09427466.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100422862","display_name":"Ziyang Li","orcid":"https://orcid.org/0000-0003-2226-3082"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyang Li","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0003-2226-3082","affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101540418","display_name":"Jiong Yu","orcid":"https://orcid.org/0000-0002-1497-4805"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiong Yu","raw_affiliation_strings":["School of Software, Xinjiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101562441","display_name":"Liang Lu","orcid":"https://orcid.org/0000-0003-1154-1892"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lu","raw_affiliation_strings":["College of Computer Science and Technology, Civil Aviation University of China, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100422862"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07500592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"70322","last_page":"70336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.983299970626831,"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":0.9672999978065491,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8472228050231934},{"id":"https://openalex.org/keywords/performance-prediction","display_name":"Performance prediction","score":0.7063888311386108},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6634238958358765},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5348189473152161},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.5097457766532898},{"id":"https://openalex.org/keywords/timeline","display_name":"Timeline","score":0.5078070759773254},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.470588356256485},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.43044543266296387},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4160200357437134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39997756481170654},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3855314552783966},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24051788449287415},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.1451772153377533},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10226380825042725}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472228050231934},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.7063888311386108},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6634238958358765},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5348189473152161},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.5097457766532898},{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.5078070759773254},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.470588356256485},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.43044543266296387},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4160200357437134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39997756481170654},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3855314552783966},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24051788449287415},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.1451772153377533},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10226380825042725},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3079207","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3079207","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09427466.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b8b4a2c90bc148cebf7666d1348fea92","is_oa":true,"landing_page_url":"https://doaj.org/article/b8b4a2c90bc148cebf7666d1348fea92","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 70322-70336 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3079207","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3079207","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09427466.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1604976462","display_name":null,"funder_award_id":"XJUBSCX-201902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1726785437","display_name":null,"funder_award_id":"61562086","funder_id":"https://openalex.org/F4320325419","funder_display_name":"Xinjiang University"},{"id":"https://openalex.org/G2371978345","display_name":null,"funder_award_id":"61862060","funder_id":"https://openalex.org/F4320325419","funder_display_name":"Xinjiang University"},{"id":"https://openalex.org/G3748381703","display_name":null,"funder_award_id":"61462079","funder_id":"https://openalex.org/F4320325419","funder_display_name":"Xinjiang University"},{"id":"https://openalex.org/G4326558214","display_name":null,"funder_award_id":"XJUBSCX-201902","funder_id":"https://openalex.org/F4320325419","funder_display_name":"Xinjiang University"},{"id":"https://openalex.org/G450270574","display_name":null,"funder_award_id":"61462079","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5238719182","display_name":null,"funder_award_id":"61862060","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5692325391","display_name":null,"funder_award_id":"XJEDU2016S106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6430371220","display_name":null,"funder_award_id":"XJEDU2016S106","funder_id":"https://openalex.org/F4320325419","funder_display_name":"Xinjiang University"},{"id":"https://openalex.org/G7068400936","display_name":null,"funder_award_id":"61562086","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7266902129","display_name":null,"funder_award_id":"2017D01A20","funder_id":"https://openalex.org/F4320325419","funder_display_name":"Xinjiang University"},{"id":"https://openalex.org/G8879305017","display_name":null,"funder_award_id":"2017D01A20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321565","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37"},{"id":"https://openalex.org/F4320323110","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74"},{"id":"https://openalex.org/F4320325419","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13"},{"id":"https://openalex.org/F4320328898","display_name":"Natural Science Foundation of Xinjiang","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3162782515.pdf","grobid_xml":"https://content.openalex.org/works/W3162782515.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1579308114","https://openalex.org/W1995701726","https://openalex.org/W2008503861","https://openalex.org/W2017203676","https://openalex.org/W2043366231","https://openalex.org/W2109574129","https://openalex.org/W2156896988","https://openalex.org/W2172064003","https://openalex.org/W2393063176","https://openalex.org/W2494207668","https://openalex.org/W2498111289","https://openalex.org/W2566979091","https://openalex.org/W2623584706","https://openalex.org/W2768471650","https://openalex.org/W2775491715","https://openalex.org/W2809040320","https://openalex.org/W2844113973","https://openalex.org/W2889343632","https://openalex.org/W2894200293","https://openalex.org/W2898352726","https://openalex.org/W2908059305","https://openalex.org/W2913854892","https://openalex.org/W2915917802","https://openalex.org/W2919947946","https://openalex.org/W2920270798","https://openalex.org/W2937802112","https://openalex.org/W2986815055","https://openalex.org/W2990619288","https://openalex.org/W2993122943","https://openalex.org/W3000500483","https://openalex.org/W3003576014","https://openalex.org/W3007351550","https://openalex.org/W3007449025","https://openalex.org/W3015146375","https://openalex.org/W3016203390","https://openalex.org/W3023775155","https://openalex.org/W3024717699","https://openalex.org/W3026430256","https://openalex.org/W3028249963","https://openalex.org/W3033427183","https://openalex.org/W3037843194","https://openalex.org/W3087674339","https://openalex.org/W3104119337","https://openalex.org/W3106144025","https://openalex.org/W3112079814","https://openalex.org/W3129071058","https://openalex.org/W3136758818","https://openalex.org/W6731596640","https://openalex.org/W6754374753","https://openalex.org/W6754787719","https://openalex.org/W6775154854","https://openalex.org/W6777655396"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W4391249598","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W3094038556","https://openalex.org/W2014772881","https://openalex.org/W4245773285","https://openalex.org/W4254228154","https://openalex.org/W4296345146"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,25,40,55,107,113,125,167,184],"the":[3,23,31,38,51,56,68,73,89,96,104,108,114,123,126,135,143,148,153,164,168,172,178,182,190],"most":[4],"popular":[5],"high-performance":[6],"data":[7,47],"processing":[8,58,109,117],"technology,":[9],"existing":[10],"task":[11],"and":[12,81,111,151],"resource":[13],"scheduling":[14,155,191],"strategies":[15,156,192],"for":[16,66,92],"stream":[17,57,185],"computing":[18,186],"platforms":[19],"are":[20,86],"suffering":[21],"from":[22],"problem":[24],"triggering":[26,189],"hysteresis,":[27],"which":[28,62],"seriously":[29],"affects":[30],"cluster":[32,127,144],"performance.":[33],"To":[34],"address":[35],"this":[36],"problem,":[37],"idea":[39],"performance":[41,52,69,93,97,136,145,183,187],"prediction":[42,70,79,84,98,149,165],"based":[43,146],"on":[44,147],"timeline":[45],"series":[46],"is":[48,60,100,119,128,139],"proposed.":[49],"Firstly,":[50],"variation":[53,105],"rule":[54],"platform":[59],"analyzed,":[61],"provides":[63],"a":[64,131],"basis":[65],"proposing":[67],"model.":[71],"Secondly,":[72],"basic":[74],"topology":[75],"paradigm,":[76],"periodic":[77],"load":[78,110,118],"model,":[80],"real-time":[82,132],"throughput":[83,112,124],"model":[85],"proposed":[87,101,140,169,179],"as":[88],"theoretical":[90],"foundation":[91],"prediction.":[94],"Thirdly,":[95],"algorithm":[99,138,170],"to":[102,141],"predict":[103],"trend":[106],"cluster.":[115],"The":[116,159],"predicted":[120,129],"periodically":[121],"while":[122],"in":[130,157,174,193],"manner.":[133],"Finally,":[134],"evaluation":[137],"evaluate":[142],"results":[150,161],"trigger":[152],"corresponding":[154],"advance.":[158,194],"experimental":[160],"showed":[162],"that":[163],"accuracy":[166],"meets":[171],"requirements":[173],"practical":[175],"applications.":[176],"Meanwhile,":[177],"method":[180],"improves":[181],"by":[188]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
