{"id":"https://openalex.org/W4407756830","doi":"https://doi.org/10.3389/fdata.2025.1508087","title":"Cloud computing convergence: integrating computer applications and information management for enhanced efficiency","display_name":"Cloud computing convergence: integrating computer applications and information management for enhanced efficiency","publication_year":2025,"publication_date":"2025-02-19","ids":{"openalex":"https://openalex.org/W4407756830","doi":"https://doi.org/10.3389/fdata.2025.1508087","pmid":"https://pubmed.ncbi.nlm.nih.gov/40046768"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2025.1508087","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2025.1508087","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1508087/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1508087/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101090360","display_name":"Zhang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guo Zhang","raw_affiliation_strings":["Chengdu Agricultural College, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chengdu Agricultural College, Chengdu, Sichuan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101090360"],"corresponding_institution_ids":[],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":20.439,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.99069306,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"1508087","last_page":"1508087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T13038","display_name":"Internet of Things and AI","score":0.9966999888420105,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9954000115394592,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.891884446144104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.720421314239502},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5612295866012573},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5107424259185791},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.49581536650657654},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4197438955307007},{"id":"https://openalex.org/keywords/information-management","display_name":"Information management","score":0.4157566428184509},{"id":"https://openalex.org/keywords/information-technology","display_name":"Information technology","score":0.4130648374557495},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.35207104682922363},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34872788190841675},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.2917003333568573},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10996335744857788}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.891884446144104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720421314239502},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5612295866012573},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5107424259185791},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.49581536650657654},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4197438955307007},{"id":"https://openalex.org/C128487930","wikidata":"https://www.wikidata.org/wiki/Q579488","display_name":"Information management","level":2,"score":0.4157566428184509},{"id":"https://openalex.org/C121017731","wikidata":"https://www.wikidata.org/wiki/Q11661","display_name":"Information technology","level":2,"score":0.4130648374557495},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35207104682922363},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34872788190841675},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2917003333568573},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10996335744857788},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2025.1508087","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2025.1508087","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1508087/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:40046768","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40046768","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:doaj.org/article:3a127abde20a4aa584a216ebe94c2f02","is_oa":false,"landing_page_url":"https://doaj.org/article/3a127abde20a4aa584a216ebe94c2f02","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 8 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11880219","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11880219","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fdata.2025.1508087","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2025.1508087","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1508087/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407756830.pdf","grobid_xml":"https://content.openalex.org/works/W4407756830.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1482666155","https://openalex.org/W2805621223","https://openalex.org/W2995984407","https://openalex.org/W3078492720","https://openalex.org/W3182129444","https://openalex.org/W3183442353","https://openalex.org/W3199815072","https://openalex.org/W3205089498","https://openalex.org/W3208475341","https://openalex.org/W4206531761","https://openalex.org/W4220742612","https://openalex.org/W4255823278","https://openalex.org/W4280573855","https://openalex.org/W4281385880","https://openalex.org/W4288467147","https://openalex.org/W4289829314","https://openalex.org/W4311786779"],"related_works":["https://openalex.org/W2169196470","https://openalex.org/W3113185420","https://openalex.org/W4238883504","https://openalex.org/W2184817066","https://openalex.org/W2353502446","https://openalex.org/W2483312663","https://openalex.org/W2358384400","https://openalex.org/W2091813143","https://openalex.org/W2229222984","https://openalex.org/W770686788"],"abstract_inverted_index":{"This":[0,86],"study":[1],"examines":[2],"the":[3,10,29,40,90,101,118],"transformative":[4],"impact":[5],"of":[6,12,42,93],"cloud":[7,49,94],"computing":[8,50],"on":[9],"integration":[11],"computer":[13,104],"applications":[14,105],"and":[15,34,56,77,106],"information":[16,44,107],"management":[17,45],"systems":[18],"to":[19,38,67,99,114,128],"improve":[20],"operational":[21],"efficiency.":[22],"Grounded":[23],"in":[24,70,117],"a":[25,48,59,68],"robust":[26],"methodological":[27],"framework,":[28],"research":[30],"employs":[31],"experimental":[32],"testing":[33],"comparative":[35],"data":[36],"analysis":[37],"assess":[39],"performance":[41],"an":[43,74],"system":[46],"within":[47],"environment.":[51],"Data":[52],"was":[53],"meticulously":[54],"collected":[55],"analyzed,":[57],"highlighting":[58],"threshold":[60],"where":[61],"user":[62],"demand":[63],"surpasses":[64],"400,":[65],"leading":[66],"stabilization":[69],"CPU":[71],"utilization":[72],"at":[73],"optimal":[75],"level":[76],"maintaining":[78],"subsystem":[79],"response":[80],"times":[81],"consistently":[82],"below":[83],"5":[84],"s.":[85],"comprehensive":[87],"evaluation":[88],"underscores":[89],"significant":[91],"advantages":[92],"computing,":[95],"demonstrating":[96],"its":[97],"capacity":[98],"optimize":[100],"synergy":[102],"between":[103],"management.":[108],"The":[109],"findings":[110],"not":[111],"only":[112],"contribute":[113],"theoretical":[115],"advancements":[116],"field":[119],"but":[120],"also":[121],"offer":[122],"actionable":[123],"insights":[124],"for":[125],"organizations":[126],"seeking":[127],"enhance":[129],"efficiency":[130],"through":[131],"effective":[132],"cloud-based":[133],"solutions.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
