{"id":"https://openalex.org/W4401879354","doi":"https://doi.org/10.1109/tcc.2024.3449884","title":"Burst Load Frequency Prediction Based on Google Cloud Platform Server","display_name":"Burst Load Frequency Prediction Based on Google Cloud Platform Server","publication_year":2024,"publication_date":"2024-08-26","ids":{"openalex":"https://openalex.org/W4401879354","doi":"https://doi.org/10.1109/tcc.2024.3449884"},"language":"en","primary_location":{"id":"doi:10.1109/tcc.2024.3449884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2024.3449884","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cloud Computing","raw_type":"journal-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":null,"display_name":"Hui Wang","orcid":"https://orcid.org/0000-0003-4952-3112"},"institutions":[{"id":"https://openalex.org/I134052481","display_name":"Harbin Normal University","ror":"https://ror.org/0270y6950","country_code":"CN","type":"education","lineage":["https://openalex.org/I134052481"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Harbin Normal University, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0003-4952-3112","affiliations":[{"raw_affiliation_string":"Harbin Normal University, Harbin, China","institution_ids":["https://openalex.org/I134052481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134052481"],"apc_list":null,"apc_paid":null,"fwci":1.5937,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85909595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":"4","first_page":"1158","last_page":"1171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9729999899864197,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9729999899864197,"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/T14042","display_name":"Technology and Security Systems","score":0.9660999774932861,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9448000192642212,"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/cloud-computing","display_name":"Cloud computing","score":0.8380520939826965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7404565215110779},{"id":"https://openalex.org/keywords/cloud-server","display_name":"Cloud server","score":0.5969430804252625},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4693000912666321},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.38807255029678345}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8380520939826965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404565215110779},{"id":"https://openalex.org/C2987335383","wikidata":"https://www.wikidata.org/wiki/Q878048","display_name":"Cloud server","level":3,"score":0.5969430804252625},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4693000912666321},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.38807255029678345}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcc.2024.3449884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcc.2024.3449884","pdf_url":null,"source":{"id":"https://openalex.org/S2492498579","display_name":"IEEE Transactions on Cloud Computing","issn_l":"2168-7161","issn":["2168-7161","2372-0018"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cloud Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W1955148323","https://openalex.org/W2557515658","https://openalex.org/W2626214087","https://openalex.org/W2767547957","https://openalex.org/W2775287056","https://openalex.org/W2780958346","https://openalex.org/W2782968911","https://openalex.org/W2783317467","https://openalex.org/W2789760348","https://openalex.org/W2790986545","https://openalex.org/W2792637407","https://openalex.org/W2796358601","https://openalex.org/W2797928606","https://openalex.org/W2801667201","https://openalex.org/W2802502226","https://openalex.org/W2804879845","https://openalex.org/W2810323699","https://openalex.org/W2883417440","https://openalex.org/W2886061010","https://openalex.org/W2894276619","https://openalex.org/W2896449948","https://openalex.org/W2912120213","https://openalex.org/W2944851425","https://openalex.org/W2944954104","https://openalex.org/W2954586649","https://openalex.org/W2963608065","https://openalex.org/W2969851632","https://openalex.org/W2970413753","https://openalex.org/W2974110037","https://openalex.org/W2979417040","https://openalex.org/W2980620471","https://openalex.org/W2995184021","https://openalex.org/W3013536937","https://openalex.org/W3021027963","https://openalex.org/W3029176123","https://openalex.org/W3036363354","https://openalex.org/W3040694753","https://openalex.org/W3049640275","https://openalex.org/W3087836305","https://openalex.org/W3094791677","https://openalex.org/W3099802519","https://openalex.org/W3102767875","https://openalex.org/W3107136498","https://openalex.org/W3107194210","https://openalex.org/W3112756409","https://openalex.org/W3132015041","https://openalex.org/W3155559132","https://openalex.org/W3162367524","https://openalex.org/W3164944955","https://openalex.org/W3182706339","https://openalex.org/W3200688867","https://openalex.org/W3205415467","https://openalex.org/W4207012525","https://openalex.org/W4250588917","https://openalex.org/W4285794683","https://openalex.org/W4312229684","https://openalex.org/W4313400889","https://openalex.org/W4316661212","https://openalex.org/W4323314466","https://openalex.org/W6781515392"],"related_works":["https://openalex.org/W2808296766","https://openalex.org/W4285611274","https://openalex.org/W2077950080","https://openalex.org/W2911113383","https://openalex.org/W2157754788","https://openalex.org/W4290996980","https://openalex.org/W3108329480","https://openalex.org/W2063883873","https://openalex.org/W2025894054","https://openalex.org/W1850392543"],"abstract_inverted_index":{"The":[0,99,129],"widespread":[1],"use":[2],"of":[3,16,42,65,123,126,149,171],"cloud":[4,44],"computing":[5,165],"platforms":[6],"has":[7],"increased":[8],"server":[9],"load":[10,18,55,80,91,173],"pressure.":[11],"Especially":[12],"the":[13,37,43,50,63,85,96,112,124,147,150,177,180,185],"frequent":[14],"occurrence":[15],"burst":[17,54,66,79,90,127,172],"problems":[19],"caused":[20,52],"resource":[21],"waste,":[22],"data":[23,104],"damage":[24],"and":[25,27,40,88,109,158,162,184,199],"loss,":[26],"security":[28],"loopholes,":[29],"which":[30],"have":[31],"posed":[32],"a":[33,77,89,133,140],"severe":[34],"threat":[35],"to":[36,119,167,176],"service":[38],"capabilities":[39],"stability":[41],"platform.":[45],"To":[46],"reduce":[47],"or":[48],"avoid":[49],"harm":[51],"by":[53],"problems,":[56],"this":[57,74],"article":[58],"conducts":[59],"in-depth":[60],"research":[61],"on":[62,69],"frequency":[64,81,92,125],"loads.":[67,128],"Based":[68],"Google":[70],"cluster":[71],"tracking":[72],"data,":[73],"paper":[75],"proposes":[76],"new":[78],"calculation":[82,122],"model":[83,94,102,131,137,145,178,183,187],"called":[84,95],"\u201dTwo-step":[86],"Judgment\u201d":[87],"prediction":[93,136,170,193],"\u201dCombined-LSTM.":[97],"\u201d":[98],"Two-step":[100,181],"Judgment":[101,182],"uses":[103,111,163],"attributes":[105],"for":[106,116],"rough":[107],"judgment":[108,118],"then":[110],"random":[113],"forest":[114],"algorithm":[115],"precise":[117],"ensure":[120],"accurate":[121,169],"Combined-LSTM":[130,186],"is":[132],"multi-input":[134],"single-output":[135],"constructed":[138],"using":[139],"multi-model":[141],"ensemble":[142],"method.":[143],"This":[144],"combines":[146],"advantages":[148,190],"1-Dimensional":[151],"Convolutional":[152],"Neural":[153],"Network(1D-CNN),":[154],"Gated":[155],"Recurrent":[156],"Unit(GRU),":[157],"Long":[159],"Short-Term":[160],"Memory(LSTM)":[161],"parallel":[164],"methods":[166],"achieve":[168],"frequency.":[174],"According":[175],"evaluation,":[179],"showed":[188],"significant":[189],"over":[191],"other":[192],"models":[194],"in":[195],"accuracy,":[196],"generalization":[197],"ability,":[198],"time":[200],"complexity.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-16T08:24:45.110214","created_date":"2025-10-10T00:00:00"}