{"id":"https://openalex.org/W7128468604","doi":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","title":"Performance Optimization Techniques for Java-Based Big Data Applications","display_name":"Performance Optimization Techniques for Java-Based Big Data Applications","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7128468604","doi":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114"},"language":"en","primary_location":{"id":"doi:10.63282/3050-922x.ijeret-v5i3p114","doi":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","is_oa":true,"landing_page_url":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","pdf_url":"https://ijeret.org/index.php/ijeret/article/download/424/405","source":{"id":"https://openalex.org/S5407047513","display_name":"International Journal of Emerging Research in Engineering and Technology","issn_l":"3050-9211","issn":["3050-9211","3050-922X"],"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":"International Journal of Emerging Research in Engineering and Technology","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://ijeret.org/index.php/ijeret/article/download/424/405","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128267850","display_name":"John Owen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I45230691","display_name":"Ladoke Akintola University of Technology","ror":"https://ror.org/043hyzt56","country_code":"NG","type":"education","lineage":["https://openalex.org/I45230691"]}],"countries":["NG"],"is_corresponding":true,"raw_author_name":"John Owen","raw_affiliation_strings":["Ladoke Akintola University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ladoke Akintola University of Technology","institution_ids":["https://openalex.org/I45230691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5128267850"],"corresponding_institution_ids":["https://openalex.org/I45230691"],"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":"5","issue":null,"first_page":"136","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9541000127792358,"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":0.9541000127792358,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.01979999989271164,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.01119999960064888,"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/big-data-applications","display_name":"big data applications","score":0.9430000185966492},{"id":"https://openalex.org/keywords/hadoop","display_name":"Hadoop","score":0.7419999837875366},{"id":"https://openalex.org/keywords/apache-spark","display_name":"Apache Spark","score":0.9990000128746033},{"id":"https://openalex.org/keywords/apache-flink","display_name":"Apache Flink","score":0.9980000257492065},{"id":"https://openalex.org/keywords/skewed-data","display_name":"skewed data","score":0.8730000257492065},{"id":"https://openalex.org/keywords/data-partitioning","display_name":"data partitioning","score":0.9570000171661377},{"id":"https://openalex.org/keywords/caching","display_name":"caching","score":0.890999972820282},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"parallel computing","score":0.8640000224113464},{"id":"https://openalex.org/keywords/workload-aware-scheduling","display_name":"workload-aware scheduling","score":0.9760000109672546},{"id":"https://openalex.org/keywords/adaptive-management","display_name":"adaptive management","score":0.8809999823570251}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349999785423279},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7919999957084656},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6622999906539917},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6320000290870667},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5145999789237976},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.48399999737739563},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C105122174","wikidata":"https://www.wikidata.org/wiki/Q322202","display_name":"Garbage collection","level":3,"score":0.387800008058548},{"id":"https://openalex.org/C2777138346","wikidata":"https://www.wikidata.org/wiki/Q1714153","display_name":"Performance tuning","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.31610000133514404},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25270000100135803},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.25220000743865967},{"id":"https://openalex.org/C13926793","wikidata":"https://www.wikidata.org/wiki/Q3507155","display_name":"Group method of data handling","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C76831024","wikidata":"https://www.wikidata.org/wiki/Q5227096","display_name":"Data-intensive computing","level":4,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.63282/3050-922x.ijeret-v5i3p114","doi":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","is_oa":true,"landing_page_url":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","pdf_url":"https://ijeret.org/index.php/ijeret/article/download/424/405","source":{"id":"https://openalex.org/S5407047513","display_name":"International Journal of Emerging Research in Engineering and Technology","issn_l":"3050-9211","issn":["3050-9211","3050-922X"],"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":"International Journal of Emerging Research in Engineering and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.63282/3050-922x.ijeret-v5i3p114","doi":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","is_oa":true,"landing_page_url":"https://doi.org/10.63282/3050-922x.ijeret-v5i3p114","pdf_url":"https://ijeret.org/index.php/ijeret/article/download/424/405","source":{"id":"https://openalex.org/S5407047513","display_name":"International Journal of Emerging Research in Engineering and Technology","issn_l":"3050-9211","issn":["3050-9211","3050-922X"],"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":"International Journal of Emerging Research in Engineering and Technology","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7128468604.pdf","grobid_xml":"https://content.openalex.org/works/W7128468604.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W4415121435"],"related_works":["https://openalex.org/W7155051540","https://openalex.org/W6949695192","https://openalex.org/W4389633419","https://openalex.org/W4416126614","https://openalex.org/W1493587720","https://openalex.org/W4403296071","https://openalex.org/W7169811009","https://openalex.org/W7128426077","https://openalex.org/W7161748448","https://openalex.org/W7135195146"],"abstract_inverted_index":{"Java-based":[0,169],"big":[1,61,170,203],"data":[2,43,62,111,171,204],"applications":[3,32,172],"are":[4,127,142],"widely":[5],"used":[6],"to":[7,38,74,129,199],"process":[8],"and":[9,23,47,69,78,85,115,122,157,181,195],"analyze":[10],"massive":[11],"datasets":[12],"in":[13,19,30,168],"distributed":[14,134],"environments,":[15],"powering":[16],"critical":[17],"systems":[18],"finance,":[20],"healthcare,":[21],"e-commerce,":[22],"cloud":[24],"computing.":[25],"However,":[26],"achieving":[27],"optimal":[28],"performance":[29,54,140,166],"these":[31],"remains":[33],"a":[34,90,146,174],"persistent":[35],"challenge":[36],"due":[37],"JVM":[39,116],"overhead,":[40],"memory":[41,103],"constraints,":[42],"skew,":[44],"network":[45],"latency,":[46],"inefficient":[48],"resource":[49,124],"utilization.":[50],"This":[51],"study":[52,162],"investigates":[53],"optimization":[55,100,148,167],"techniques":[56],"specifically":[57],"tailored":[58],"for":[59,193],"Java-driven":[60],"platforms":[63],"such":[64],"as":[65],"Apache":[66],"Hadoop,":[67],"Spark,":[68],"Flink.":[70],"The":[71,87,136,161],"research":[72],"aims":[73],"identify":[75],"architectural,":[76],"algorithmic,":[77],"runtime-level":[79],"strategies":[80],"that":[81,139,150,164,177],"improve":[82],"execution":[83],"efficiency":[84,183],"scalability.":[86],"methodology":[88],"combines":[89],"systematic":[91],"review":[92],"of":[93,99],"existing":[94],"literature":[95],"with":[96,154],"experimental":[97],"evaluation":[98],"techniques,":[101],"including":[102],"tuning,":[104],"garbage":[105],"collection":[106],"optimization,":[107],"parallel":[108],"processing":[109],"strategies,":[110],"partitioning,":[112],"caching":[113],"mechanisms,":[114],"configuration":[117],"enhancements.":[118],"Additionally,":[119],"workload-aware":[120],"scheduling":[121],"adaptive":[123],"management":[125],"approaches":[126],"analyzed":[128],"understand":[130],"their":[131],"impact":[132],"on":[133],"performance.":[135],"findings":[137],"demonstrate":[138],"gains":[141],"best":[143],"achieved":[144],"through":[145],"multi-layer":[147],"strategy":[149],"integrates":[151],"code-level":[152],"improvements":[153],"system-level":[155],"tuning":[156],"intelligent":[158],"workload":[159],"management.":[160],"concludes":[163],"effective":[165],"requires":[173],"holistic":[175],"approach":[176],"balances":[178],"computation,":[179],"memory,":[180],"I/O":[182],"while":[184],"maintaining":[185],"system":[186,196],"reliability.":[187],"These":[188],"insights":[189],"provide":[190],"practical":[191],"guidance":[192],"developers":[194],"architects":[197],"seeking":[198],"design":[200],"high-performance,":[201],"scalable":[202],"solutions.":[205]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-02-11T00:00:00"}