{"id":"https://openalex.org/W7128741209","doi":"https://doi.org/10.31577/cai_2025_5_1178","title":"Efficient Distributed Clustering with Cuckoo Search Algorithm and GPU Acceleration for Big Data Analysis","display_name":"Efficient Distributed Clustering with Cuckoo Search Algorithm and GPU Acceleration for Big Data Analysis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W7128741209","doi":"https://doi.org/10.31577/cai_2025_5_1178"},"language":null,"primary_location":{"id":"doi:10.31577/cai_2025_5_1178","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_5_1178","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_5_1178/1379","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_5_1178/1379","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053364370","display_name":"Hadjir Zemmouri","orcid":"https://orcid.org/0000-0003-1361-6245"},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Hadjir Zemmouri","raw_affiliation_strings":["MISC Laboratory, University of Constantine 2 Abdelhamid Mehri, Ali Mendjeli, 25000, Constantine, Algeria"],"affiliations":[{"raw_affiliation_string":"MISC Laboratory, University of Constantine 2 Abdelhamid Mehri, Ali Mendjeli, 25000, Constantine, Algeria","institution_ids":["https://openalex.org/I4210160465","https://openalex.org/I125485651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065353205","display_name":"Said Labed","orcid":"https://orcid.org/0000-0001-9273-9790"},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Said Labed","raw_affiliation_strings":["MISC Laboratory, University of Constantine 2 Abdelhamid Mehri, Ali Mendjeli, 25000, Constantine, Algeria"],"affiliations":[{"raw_affiliation_string":"MISC Laboratory, University of Constantine 2 Abdelhamid Mehri, Ali Mendjeli, 25000, Constantine, Algeria","institution_ids":["https://openalex.org/I4210160465","https://openalex.org/I125485651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071576504","display_name":"Akram Kout","orcid":"https://orcid.org/0000-0001-8868-8986"},"institutions":[{"id":"https://openalex.org/I125485651","display_name":"University Fr\u00e8res Mentouri Constantine 1","ror":"https://ror.org/017wv6808","country_code":"DZ","type":"education","lineage":["https://openalex.org/I125485651"]},{"id":"https://openalex.org/I4210160465","display_name":"Universit\u00e9 Constantine 2","ror":"https://ror.org/056mctw68","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210160465"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Akram Kout","raw_affiliation_strings":["MISC Laboratory, University of Constantine 2 Abdelhamid Mehri, Ali Mendjeli, 25000, Constantine, Algeria"],"affiliations":[{"raw_affiliation_string":"MISC Laboratory, University of Constantine 2 Abdelhamid Mehri, Ali Mendjeli, 25000, Constantine, Algeria","institution_ids":["https://openalex.org/I4210160465","https://openalex.org/I125485651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125693886","display_name":"El-Bay Bourennane","orcid":null},"institutions":[{"id":"https://openalex.org/I177064439","display_name":"Universit\u00e9 de Bourgogne","ror":"https://ror.org/03k1bsr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I177064439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"El-Bay Bourennane","raw_affiliation_strings":["ImVia Laboratory, University of Bourgogne, 9, avenue Alain Savary, 21078 Dijon, France"],"affiliations":[{"raw_affiliation_string":"ImVia Laboratory, University of Bourgogne, 9, avenue Alain Savary, 21078 Dijon, France","institution_ids":["https://openalex.org/I177064439"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5053364370"],"corresponding_institution_ids":["https://openalex.org/I125485651","https://openalex.org/I4210160465"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86889996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"5","first_page":"1178","last_page":"1201"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7275999784469604,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.7275999784469604,"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/T13038","display_name":"Internet of Things and AI","score":0.014499999582767487,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.012900000438094139,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8450999855995178},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7548999786376953},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6371999979019165},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.5317999720573425},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.45080000162124634},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.42969998717308044},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.42649999260902405},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.4250999987125397},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8450999855995178},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7878999710083008},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7548999786376953},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6371999979019165},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6121000051498413},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.5317999720573425},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.45080000162124634},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.42969998717308044},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.42649999260902405},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.4250999987125397},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4000000059604645},{"id":"https://openalex.org/C117241572","wikidata":"https://www.wikidata.org/wiki/Q5192379","display_name":"Cuckoo search","level":3,"score":0.37610000371932983},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.3188999891281128},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.3188000023365021},{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.3140000104904175},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.298799991607666},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.2976999878883362},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.25529998540878296},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2025_5_1178","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_5_1178","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_5_1178/1379","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2025_5_1178","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2025_5_1178","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2025_5_1178/1379","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5112380385398865,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7128741209.pdf","grobid_xml":"https://content.openalex.org/works/W7128741209.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Clustering":[0],"analysis":[1,58],"is":[2,136],"a":[3,102,113,152],"crucial":[4],"method":[5],"in":[6,16,53,198],"data":[7,14,57,148,156],"mining,":[8],"aimed":[9],"at":[10],"identifying":[11],"clusters":[12],"of":[13,29,35,41,47,105,127,209,225],"objects":[15],"the":[17,27,39,45,88,125,132,171,179,188,207],"attribute":[18],"space.":[19],"Distributed":[20],"clustering":[21,62,91,118,122,134,173],"has":[22,51],"gained":[23],"prominence":[24],"due":[25,93],"to":[26,77,94,97,123,169],"emergence":[28],"Big":[30,128],"Data.":[31],"The":[32],"rapid":[33],"growth":[34],"data,":[36],"particularly":[37],"with":[38,71,165,202],"advent":[40],"technologies,":[42],"such":[43,64],"as":[44,65],"Internet":[46],"Things":[48],"and":[49,59,67,162,186,212,220],"5G,":[50],"resulted":[52],"numerous":[54],"challenges":[55,126],"for":[56,75,120,145,190,230],"processing.":[60],"Traditional":[61],"methods,":[63],"K-means":[66],"hierarchical":[68],"clustering,":[69],"struggle":[70],"extensive":[72],"datasets":[73,201],"designed":[74],"smaller":[76],"moderately":[78],"sized":[79],"datasets.":[80],"Meta-heuristic":[81],"techniques":[82],"have":[83,176],"garnered":[84],"significant":[85],"attention":[86],"among":[87],"various":[89,231],"distributed":[90,121,213],"algorithms":[92],"their":[95],"ability":[96],"deliver":[98],"high-quality":[99],"solutions":[100],"across":[101,222],"wide":[103,223],"range":[104,224],"optimization":[106],"problems.":[107],"In":[108],"this":[109],"study,":[110],"we":[111],"proposed":[112],"new":[114],"Cuckoo":[115],"search":[116],"(CS)":[117],"algorithm":[119,135],"address":[124],"Data":[129],"clustering.":[130,149],"First,":[131],"CS":[133],"executed":[137],"on":[138,151],"each":[139,158],"local":[140,147],"site,":[141],"utilizing":[142],"GPU":[143],"acceleration":[144],"efficient":[146],"Second,":[150],"global":[153],"scale,":[154],"representative":[155],"from":[157],"site":[159],"are":[160],"aggregated":[161],"processed":[163],"worldwide,":[164],"centroids":[166],"iteratively":[167],"updated":[168],"generate":[170],"final":[172],"result.":[174],"We":[175],"significantly":[177],"enhanced":[178],"processing":[180,211],"efficiency":[181,219],"by":[182],"minimizing":[183],"transmission":[184],"costs":[185],"eliminating":[187],"need":[189],"inter-node":[191],"communication.":[192],"Furthermore,":[193],"our":[194],"approach":[195,216],"demonstrates":[196,217],"adaptability":[197],"handling":[199],"large":[200],"competitive":[203],"execution":[204],"times":[205],"through":[206],"utilization":[208],"parallel":[210],"computing.":[214],"Our":[215],"both":[218],"scalability":[221],"datasets,":[226],"highlighting":[227],"its":[228],"potential":[229],"applications.":[232]},"counts_by_year":[],"updated_date":"2026-03-13T14:20:09.374765","created_date":"2026-02-13T00:00:00"}