{"id":"https://openalex.org/W7225346502","doi":"https://doi.org/10.64388/ire1724838","title":"Introducing Artificial Intelligence into Large-Scale Cloud-Based Web Applications: A Scalable Architecture for Intelligent, Adaptive and Resilient Web Systems: A Pilot Study","display_name":"Introducing Artificial Intelligence into Large-Scale Cloud-Based Web Applications: A Scalable Architecture for Intelligent, Adaptive and Resilient Web Systems: A Pilot Study","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225346502","doi":"https://doi.org/10.64388/ire1724838"},"language":"en","primary_location":{"id":"doi:10.64388/ire1724838","doi":"https://doi.org/10.64388/ire1724838","is_oa":true,"landing_page_url":"https://doi.org/10.64388/ire1724838","pdf_url":"https://www.irejournals.com/formatedpaper/1724838.pdf","source":{"id":"https://openalex.org/S5407000720","display_name":"Iconic Research and Engineering Journals","issn_l":"2456-8880","issn":["2456-8880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Iconic Research and Engineering Journals","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.irejournals.com/formatedpaper/1724838.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5147421337","display_name":"Star Umiyeromesu Niemogha","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I891860020","display_name":"Federal University of Petroleum Resource Effurun","ror":"https://ror.org/04ndqkb04","country_code":"NG","type":"education","lineage":["https://openalex.org/I891860020"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Star Niemogha Umiyeromesu","raw_affiliation_strings":["Federal University of Petroleum Resources Effurun (FUPRE)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Petroleum Resources Effurun (FUPRE)","institution_ids":["https://openalex.org/I891860020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5150900082","display_name":"Evwarhono Akpevwe Courage","orcid":"https://orcid.org/0009-0001-8774-1359","observed_orcids":["https://orcid.org/0009-0001-8774-1359"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Evwarhono Akpevwe Courage","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5150987035","display_name":"Onokpasa Aghogho","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I891860020","display_name":"Federal University of Petroleum Resource Effurun","ror":"https://ror.org/04ndqkb04","country_code":"NG","type":"education","lineage":["https://openalex.org/I891860020"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Onokpasa Aghogho","raw_affiliation_strings":["Department of Information Technology , College of Computing , Federal University of Petroleum Resources Effurun (FUPRE) , Delta State , Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Technology , College of Computing , Federal University of Petroleum Resources Effurun (FUPRE) , Delta State , Nigeria","institution_ids":["https://openalex.org/I891860020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160784975","display_name":"Maxegba Asuobite ThankGod","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maxegba Asuobite ThankGod","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5120184732","display_name":"Ayeh Blessing Elohor","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Blessing Elohor Ayeh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"5","first_page":"1210","last_page":"1222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9340999722480774,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9340999722480774,"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/T12127","display_name":"Software System Performance and Reliability","score":0.06080000102519989,"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/T13904","display_name":"Artificial Intelligence Applications","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-based-web-application","display_name":"cloud-based web application","score":0.8539999723434448},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.8410000205039978},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"predictive analytics","score":0.7799999713897705},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.8069999814033508},{"id":"https://openalex.org/keywords/resource-management","display_name":"resource management","score":0.7749999761581421},{"id":"https://openalex.org/keywords/elastic-resource-provisioning","display_name":"elastic resource provisioning","score":0.597000002861023},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.3709999918937683},{"id":"https://openalex.org/keywords/fault-recovery","display_name":"fault recovery","score":0.8100000023841858},{"id":"https://openalex.org/keywords/responsible-ai-governance","display_name":"responsible AI governance","score":0.8629999756813049},{"id":"https://openalex.org/keywords/model-lifecycle-management","display_name":"model lifecycle management","score":0.9890000224113464},{"id":"https://openalex.org/keywords/data-security","display_name":"data security","score":0.765999972820282},{"id":"https://openalex.org/keywords/observability","display_name":"observability","score":0.5870000123977661},{"id":"https://openalex.org/keywords/assessment-framework","display_name":"evaluation framework","score":0.4009999930858612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7311999797821045},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.49160000681877136},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48809999227523804},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.413100004196167},{"id":"https://openalex.org/C57041688","wikidata":"https://www.wikidata.org/wiki/Q220644","display_name":"Service-oriented architecture","level":3,"score":0.40959998965263367},{"id":"https://openalex.org/C118643609","wikidata":"https://www.wikidata.org/wiki/Q189210","display_name":"Web application","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.3287000060081482},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.32760000228881836},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.3082999885082245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012999892234802},{"id":"https://openalex.org/C35869016","wikidata":"https://www.wikidata.org/wiki/Q846636","display_name":"Software architecture","level":3,"score":0.29120001196861267},{"id":"https://openalex.org/C53619493","wikidata":"https://www.wikidata.org/wiki/Q4787093","display_name":"Architecture framework","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C146222976","wikidata":"https://www.wikidata.org/wiki/Q1204997","display_name":"Business logic","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C63000827","wikidata":"https://www.wikidata.org/wiki/Q3080428","display_name":"Software portability","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C2778505942","wikidata":"https://www.wikidata.org/wiki/Q18344624","display_name":"Microservices","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.64388/ire1724838","doi":"https://doi.org/10.64388/ire1724838","is_oa":true,"landing_page_url":"https://doi.org/10.64388/ire1724838","pdf_url":"https://www.irejournals.com/formatedpaper/1724838.pdf","source":{"id":"https://openalex.org/S5407000720","display_name":"Iconic Research and Engineering Journals","issn_l":"2456-8880","issn":["2456-8880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Iconic Research and Engineering Journals","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.64388/ire1724838","doi":"https://doi.org/10.64388/ire1724838","is_oa":true,"landing_page_url":"https://doi.org/10.64388/ire1724838","pdf_url":"https://www.irejournals.com/formatedpaper/1724838.pdf","source":{"id":"https://openalex.org/S5407000720","display_name":"Iconic Research and Engineering Journals","issn_l":"2456-8880","issn":["2456-8880"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Iconic Research and Engineering Journals","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4880000054836273,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225346502.pdf","grobid_xml":"https://content.openalex.org/works/W7225346502.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2275530856","https://openalex.org/W3195577433","https://openalex.org/W4394803801","https://openalex.org/W4399610297","https://openalex.org/W4403559195"],"related_works":["https://openalex.org/W7213252421","https://openalex.org/W4413180858","https://openalex.org/W7223121105","https://openalex.org/W7161421362","https://openalex.org/W7139957226","https://openalex.org/W7216873745","https://openalex.org/W4412626948","https://openalex.org/W7136564966","https://openalex.org/W7129644200","https://openalex.org/W4417293551"],"abstract_inverted_index":{"Cloud":[0],"computing":[1],"and":[2,9,32,48,91,97,138,163,172,184,206,224,251,258,267,273],"web-based":[3],"digital":[4],"services":[5,66,118],"have":[6],"grown":[7],"quickly,":[8],"the":[10,72,180,218,240],"result":[11],"is":[12,74,142,191,260],"a":[13,80,88,221],"class":[14],"of":[15],"large-scale":[16],"applications":[17,39,85],"that":[18,94,112,128,179],"must":[19],"keep":[20],"pace":[21],"with":[22],"rising":[23],"user":[24],"numbers,":[25],"unpredictable":[26],"workloads,":[27],"many":[28],"different":[29],"data":[30,152,249],"sources":[31],"demanding":[33],"availability":[34],"targets.":[35],"Most":[36],"cloud-based":[37],"web":[38,275],"still":[40],"run":[41],"on":[42],"predetermined":[43],"business":[44],"rules,":[45],"threshold-based":[46],"monitoring":[47],"manually":[49],"configured":[50],"resource":[51,136,197,253],"management.":[52],"These":[53],"mechanisms":[54],"make":[55],"it":[56,259],"difficult":[57],"to":[58,82,99,119,262],"anticipate":[59],"workload":[60],"changes,":[61],"spot":[62],"anomalous":[63],"behaviour,":[64],"personalise":[65],"or":[67],"adjust":[68],"computational":[69],"resources":[70],"while":[71],"system":[73,181,214],"running.":[75],"Artificial":[76],"Intelligence":[77],"(AI)":[78],"offers":[79],"way":[81],"move":[83],"such":[84],"away":[86],"from":[87,211,236],"reactive":[89],"model":[90,155,246],"toward":[92],"systems":[93],"are":[95,175,232],"adaptive":[96],"able":[98],"predict":[100],"what":[101],"comes":[102],"next.":[103],"This":[104],"study":[105,219],"proposes":[106],"an":[107,124,145,212,225],"AI-enabled":[108],"architectural":[109],"framework":[110,190,227,241],"for":[111],"purpose.":[113],"The":[114,188],"architecture":[115,223],"connects":[116],"AI":[117,154,169,244],"cloud-native":[120,157],"application":[121],"components":[122],"through":[123],"intelligent":[125],"decision":[126],"layer":[127],"combines":[129],"machine":[130],"learning,":[131],"predictive":[132],"analytics,":[133],"anomaly":[134],"detection,":[135],"management":[137],"generative":[139],"AI.":[140],"It":[141],"accompanied":[143],"by":[144],"adapted":[146],"iterative":[147],"methodology":[148],"covering":[149,193],"problem":[150],"definition,":[151],"preparation,":[153],"development,":[156],"integration,":[158],"security":[159,205,250],"validation,":[160],"scalability":[161],"testing":[162],"deployment":[164],"monitoring.":[165],"Presentation,":[166],"application,":[167],"data,":[168],"inference,":[170],"orchestration":[171],"observability":[173],"functions":[174],"kept":[176,233],"separate":[177,235],"so":[178,217],"stays":[182],"modular":[183],"can":[185],"scale":[186],"horizontally.":[187],"evaluation":[189,226],"multi-dimensional,":[192],"response":[194],"time,":[195],"throughput,":[196],"utilisation,":[198],"prediction":[199],"accuracy,":[200],"scalability,":[201],"availability,":[202],"fault":[203],"recovery,":[204],"cost-efficiency.":[207],"No":[208],"experimental":[209],"measurements":[210],"implemented":[213],"were":[215],"available,":[216],"presents":[220],"proposed":[222],"in":[228],"which":[229],"expected":[230],"outcomes":[231],"clearly":[234],"measured":[237],"results.":[238],"Throughout,":[239],"treats":[242],"responsible":[243],"governance,":[245],"lifecycle":[247],"management,":[248],"elastic":[252],"provisioning":[254],"as":[255],"first-order":[256],"concerns,":[257],"meant":[261],"support":[263],"later":[264],"empirical":[265],"implementation":[266],"benchmarking":[268],"across":[269],"enterprise,":[270],"educational,":[271],"financial":[272],"governmental":[274],"environments.":[276]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}
