{"id":"https://openalex.org/W4402262956","doi":"https://doi.org/10.1109/wincom62286.2024.10654970","title":"Enhanced Vertical Pod Auto Scaling with Decision Tree Regressor-Max in Kubernetes","display_name":"Enhanced Vertical Pod Auto Scaling with Decision Tree Regressor-Max in Kubernetes","publication_year":2024,"publication_date":"2024-07-23","ids":{"openalex":"https://openalex.org/W4402262956","doi":"https://doi.org/10.1109/wincom62286.2024.10654970"},"language":"en","primary_location":{"id":"doi:10.1109/wincom62286.2024.10654970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom62286.2024.10654970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025205977","display_name":"Zakariyae Bouflous","orcid":"https://orcid.org/0009-0006-4200-7341"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":true,"raw_author_name":"Zakariyae Bouflous","raw_affiliation_strings":["ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco"],"affiliations":[{"raw_affiliation_string":"ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107013555","display_name":"Fadoua Haraka","orcid":null},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Fadoua Haraka","raw_affiliation_strings":["ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco"],"affiliations":[{"raw_affiliation_string":"ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052021792","display_name":"Mohammed Ouzzif","orcid":"https://orcid.org/0000-0003-1100-0228"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Mohammed Ouzzif","raw_affiliation_strings":["ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco"],"affiliations":[{"raw_affiliation_string":"ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco","institution_ids":["https://openalex.org/I99297268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039825871","display_name":"Khalid Bouragba","orcid":"https://orcid.org/0000-0003-2795-4667"},"institutions":[{"id":"https://openalex.org/I99297268","display_name":"University of Hassan II Casablanca","ror":"https://ror.org/001q4kn48","country_code":"MA","type":"education","lineage":["https://openalex.org/I99297268"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"Khalid Bouragba","raw_affiliation_strings":["ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco"],"affiliations":[{"raw_affiliation_string":"ENSEM - Hasssan 2 University of Casablanca (UH2C) Casablanca,Morocco","institution_ids":["https://openalex.org/I99297268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025205977"],"corresponding_institution_ids":["https://openalex.org/I99297268"],"apc_list":null,"apc_paid":null,"fwci":0.3626,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66301421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9531999826431274,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9531999826431274,"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/T13999","display_name":"Digital Rights Management and Security","score":0.9265999794006348,"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/point-of-delivery","display_name":"Point of delivery","score":0.7093241810798645},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6601278781890869},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6329512596130371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5338704586029053},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4448546767234802},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38900285959243774},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3506593704223633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2386704385280609},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.12954792380332947},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09672307968139648},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.06106320023536682}],"concepts":[{"id":"https://openalex.org/C137776501","wikidata":"https://www.wikidata.org/wiki/Q7208270","display_name":"Point of delivery","level":2,"score":0.7093241810798645},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6601278781890869},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6329512596130371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5338704586029053},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4448546767234802},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38900285959243774},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3506593704223633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2386704385280609},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.12954792380332947},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09672307968139648},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.06106320023536682},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wincom62286.2024.10654970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wincom62286.2024.10654970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2997005626","https://openalex.org/W3016559592","https://openalex.org/W3035677451","https://openalex.org/W3039743109","https://openalex.org/W3113924314","https://openalex.org/W3117513126","https://openalex.org/W4211116120","https://openalex.org/W4312439245","https://openalex.org/W4312939319","https://openalex.org/W4313591768"],"related_works":["https://openalex.org/W1480038316","https://openalex.org/W4383033865","https://openalex.org/W3142541575","https://openalex.org/W2375444032","https://openalex.org/W4313588295","https://openalex.org/W2352729895","https://openalex.org/W2329675728","https://openalex.org/W3216700519","https://openalex.org/W1991415308","https://openalex.org/W2064853461"],"abstract_inverted_index":{"Modern":[0],"containerized":[1],"applications":[2],"deployed":[3],"on":[4,77],"Kubernetes":[5,39,102],"demand":[6],"efficient":[7],"resource":[8,67,74,93],"scaling":[9,94],"to":[10,12,72,100,104],"adapt":[11,101],"varying":[13],"workloads.":[14],"Auto-scaling":[15],"reduces":[16],"cloud":[17],"infrastructure":[18],"costs,":[19],"increases":[20],"application":[21],"stability":[22],"and":[23,81,96],"improves":[24],"the":[25,89],"Quality":[26],"of":[27,53],"Service":[28],"from":[29],"user":[30],"perspective.":[31],"This":[32],"paper":[33],"introduces":[34],"an":[35],"innovative":[36],"approach":[37],"for":[38],"vertical":[40],"pod":[41,73],"autoscaling.":[42],"The":[43,63],"proposed":[44],"model":[45],"DTR-Max":[46],"takes":[47],"in":[48],"consideration":[49],"maximum":[50],"resources":[51,83],"limit":[52,84],"pods":[54,82,103],"allocation":[55],"using":[56],"predictive":[57,66],"Decision":[58],"Tree":[59],"Regression":[60],"(DTR)":[61],"policy.":[62],"system":[64,90],"leverages":[65],"management,":[68],"enabling":[69],"proactive":[70],"adjustments":[71],"requests":[75],"based":[76],"historical":[78],"utilization":[79],"patterns":[80],"range.":[85],"In":[86],"experimental":[87],"simulations,":[88],"effectively":[91],"manages":[92],"decisions":[95],"demonstrates":[97],"its":[98],"potential":[99],"dynamic":[105],"workloads":[106],"efficiently.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
