{"id":"https://openalex.org/W4317601994","doi":"https://doi.org/10.1186/s13677-022-00360-z","title":"Wavelet transforms based ARIMA-XGBoost hybrid method for layer actions response time prediction of cloud GIS services","display_name":"Wavelet transforms based ARIMA-XGBoost hybrid method for layer actions response time prediction of cloud GIS services","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4317601994","doi":"https://doi.org/10.1186/s13677-022-00360-z"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-022-00360-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-022-00360-z","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-022-00360-z","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-022-00360-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100392397","display_name":"Jiang Li","orcid":"https://orcid.org/0009-0009-7959-4019"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiang Li","raw_affiliation_strings":["Information Center of Department of Natural Resources of Hubei Province, Wuhan, 430071, China","State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China"],"affiliations":[{"raw_affiliation_string":"Information Center of Department of Natural Resources of Hubei Province, Wuhan, 430071, China","institution_ids":["https://openalex.org/I4210099437"]},{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101985757","display_name":"Jing Cai","orcid":"https://orcid.org/0000-0001-9189-7471"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Cai","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021251779","display_name":"Rui Li","orcid":"https://orcid.org/0000-0001-5167-2956"},"institutions":[{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, 430079, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429961","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-3135-4958"},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Li","raw_affiliation_strings":["Information Center of Department of Natural Resources of Hubei Province, Wuhan, 430071, China"],"affiliations":[{"raw_affiliation_string":"Information Center of Department of Natural Resources of Hubei Province, Wuhan, 430071, China","institution_ids":["https://openalex.org/I4210099437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011425498","display_name":"Lina Zheng","orcid":"https://orcid.org/0000-0002-8412-3344"},"institutions":[{"id":"https://openalex.org/I4210099437","display_name":"Hubei University Of Economics","ror":"https://ror.org/012a84b59","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099437"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zheng","raw_affiliation_strings":["Information Center of Department of Natural Resources of Hubei Province, Wuhan, 430071, China"],"affiliations":[{"raw_affiliation_string":"Information Center of Department of Natural Resources of Hubei Province, Wuhan, 430071, China","institution_ids":["https://openalex.org/I4210099437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100392397"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210099437","https://openalex.org/I4210118728"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":0.9093,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70864618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.961899995803833,"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/cloud-computing","display_name":"Cloud computing","score":0.7097821235656738},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6744568347930908},{"id":"https://openalex.org/keywords/response-time","display_name":"Response time","score":0.6127532720565796},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.6089408993721008},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5365097522735596},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4861709475517273},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4765806198120117},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.45492616295814514},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21582859754562378}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7097821235656738},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744568347930908},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.6127532720565796},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.6089408993721008},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5365097522735596},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4861709475517273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4765806198120117},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.45492616295814514},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21582859754562378},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-022-00360-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-022-00360-z","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-022-00360-z","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:23cbb8db69d24c81b5bcccc5a8d9eabc","is_oa":true,"landing_page_url":"https://doaj.org/article/23cbb8db69d24c81b5bcccc5a8d9eabc","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-17 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-022-00360-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-022-00360-z","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-022-00360-z","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1570605330","display_name":null,"funder_award_id":"U20A2091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3590684831","display_name":null,"funder_award_id":"Grant No. U20A2091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5475110606","display_name":null,"funder_award_id":"41771426","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6311684539","display_name":null,"funder_award_id":"202204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336744","display_name":"Science and Technology Program of Hubei Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4317601994.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1967989262","https://openalex.org/W2012275375","https://openalex.org/W2014928429","https://openalex.org/W2049633694","https://openalex.org/W2052695576","https://openalex.org/W2117014758","https://openalex.org/W2126123439","https://openalex.org/W2159528712","https://openalex.org/W2295598076","https://openalex.org/W2800165233","https://openalex.org/W2899125647","https://openalex.org/W2907345037","https://openalex.org/W2954964311","https://openalex.org/W2973233981","https://openalex.org/W2981307715","https://openalex.org/W3008049802","https://openalex.org/W3015228848","https://openalex.org/W3023058341","https://openalex.org/W3047163928","https://openalex.org/W3099882458","https://openalex.org/W3104712860","https://openalex.org/W3111965539","https://openalex.org/W3114898850","https://openalex.org/W3162206352"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760","https://openalex.org/W4312309719","https://openalex.org/W4313123484","https://openalex.org/W2146461990","https://openalex.org/W4200142652","https://openalex.org/W1527014014"],"abstract_inverted_index":{"Abstract":[0],"Layer":[1],"actions":[2,44,69,96,122,139,206],"response":[3,40,61,65,97,123,140,207],"time":[4,41,66,98,128,174,182,208],"is":[5,18,45,110,158],"a":[6,100,126],"critical":[7],"indicator":[8],"of":[9,19,42,67,77,86,120,136,145,153,172,195,204,209],"cloud":[10,30,78,107,210],"geographical":[11],"information":[12],"services":[13,32,109],"(cloud":[14],"GIS":[15,31,79,108,211],"Services),":[16],"which":[17,178],"great":[20],"significance":[21],"to":[22,112,161],"resource":[23],"allocation":[24],"and":[25,37,50,90,116,149,169,185],"schedule":[26],"optimization.":[27],"However,":[28],"since":[29],"are":[33,176],"highly":[34],"dynamic,":[35],"uncertain,":[36],"uncontrollable,":[38],"the":[39,64,74,84,114,133,137,142,146,150,154,163,167,173,180,193,202],"layer":[43,59,68,95,121,138,205],"influenced":[46],"by":[47],"spatiotemporal":[48],"intensity":[49],"concurrent":[51],"access":[52],"intensity,":[53],"posing":[54],"significant":[55],"challenges":[56],"in":[57,94,201],"predicting":[58],"action":[60],"time.To":[62],"predict":[63],"more":[70],"accurately,":[71],"we":[72],"analyzed":[73],"data":[75],"association":[76],"services.":[80,212],"Furthermore,":[81],"based":[82],"on":[83],"characteristics":[85],"long-term":[87],"stable":[88],"trends":[89],"short-term":[91],"random":[92],"fluctuations":[93],"series,":[99],"wavelet":[101],"transforms-based":[102],"ARIMA-XGBoost":[103],"hybrid":[104],"method":[105],"for":[106],"proposed":[111],"improve":[113],"one-step":[115],"multi-step":[117],"prediction":[118,203],"results":[119,191],"time.We":[124],"generate":[125],"multivariate":[127],"series":[129,175,183],"feature":[130],"matrix":[131],"using":[132],"historical":[134,151],"value":[135,144,152],"time,":[141],"predicted":[143],"linear":[147,168],"component,":[148],"non-linear":[155],"component.":[156],"There":[157],"no":[159],"need":[160],"meet":[162],"traditional":[164],"assumption":[165],"that":[166],"nonlinear":[170],"components":[171],"additive,":[177],"minimizes":[179],"model\u2019s":[181],"requirements":[184],"enhances":[186],"its":[187],"flexibility.":[188],"The":[189],"experimental":[190],"demonstrate":[192],"superiority":[194],"our":[196],"approach":[197],"over":[198],"previous":[199],"models":[200]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-19T08:26:33.389920","created_date":"2025-10-10T00:00:00"}
