{"id":"https://openalex.org/W4409248237","doi":"https://doi.org/10.1109/icct62411.2024.10946471","title":"MAPPO-based Predictive Auto-Scaling Algorithm in Edge Cloud Clusters","display_name":"MAPPO-based Predictive Auto-Scaling Algorithm in Edge Cloud Clusters","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4409248237","doi":"https://doi.org/10.1109/icct62411.2024.10946471"},"language":"en","primary_location":{"id":"doi:10.1109/icct62411.2024.10946471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021431468","display_name":"Wen\u2010Ling Tian","orcid":"https://orcid.org/0000-0002-2321-0719"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenling Tian","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057582611","display_name":"Tianyi Shi","orcid":"https://orcid.org/0000-0003-0070-6719"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Shi","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102986046","display_name":"Zhao Wen","orcid":"https://orcid.org/0000-0002-2231-8592"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Zhao","raw_affiliation_strings":["Measurement Center of Guangdong Power Grid Co., Ltd,Guangdong,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Measurement Center of Guangdong Power Grid Co., Ltd,Guangdong,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803188","display_name":"Rong Huang","orcid":"https://orcid.org/0000-0001-6162-7307"},"institutions":[{"id":"https://openalex.org/I6507939","display_name":"China United Network Communications Group (China)","ror":"https://ror.org/028w99c90","country_code":"CN","type":"company","lineage":["https://openalex.org/I6507939"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Huang","raw_affiliation_strings":["China Unicom Research Institute,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Unicom Research Institute,Beijing,China","institution_ids":["https://openalex.org/I6507939"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102913097","display_name":"Tiankui Zhang","orcid":"https://orcid.org/0000-0002-0694-5844"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiankui Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41715976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"191","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.8791000247001648,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13243","display_name":"Innovation in Digital Healthcare Systems","score":0.8791000247001648,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14484","display_name":"Technology and Data Analysis","score":0.8403000235557556,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.8256999850273132,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7459676861763},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7079054117202759},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.6037915349006653},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6006605625152588},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44604578614234924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24787700176239014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10954427719116211},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.054335445165634155}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7459676861763},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7079054117202759},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.6037915349006653},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6006605625152588},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44604578614234924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24787700176239014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10954427719116211},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.054335445165634155},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icct62411.2024.10946471","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icct62411.2024.10946471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 24th International Conference on Communication Technology (ICCT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W3025398463","https://openalex.org/W3083695346","https://openalex.org/W3104691574","https://openalex.org/W3127529544","https://openalex.org/W3214285294","https://openalex.org/W3217741927","https://openalex.org/W4315629795","https://openalex.org/W4317603370","https://openalex.org/W4320002923","https://openalex.org/W4360996676","https://openalex.org/W4385626269","https://openalex.org/W4387162970","https://openalex.org/W4387609343","https://openalex.org/W4387872550","https://openalex.org/W4401719714"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2073681303"],"abstract_inverted_index":{"In":[0,49],"edge":[1,10,24,71,95],"cloud":[2],"clusters,":[3],"application":[4,40],"instances":[5,41],"are":[6,104],"often":[7],"deployed":[8],"on":[9,42,46,84],"nodes":[11,25,44,96],"close":[12],"to":[13,34,58],"users,":[14],"thereby":[15],"reducing":[16],"response":[17],"time.":[18],"However,":[19],"the":[20,29,37,43,47,60,66,91,107,117,122,132],"computing":[21],"capacity":[22],"of":[23,31,39,69,88,94,124,128],"is":[26,73],"limited,":[27],"necessitating":[28],"use":[30],"auto-scaling":[32,56],"technology":[33],"dynamically":[35],"adjust":[36],"number":[38],"based":[45,83],"load.":[48],"this":[50],"paper,":[51],"we":[52],"propose":[53],"a":[54,76],"predictive":[55],"algorithm":[57,119],"improve":[59,121],"cluster":[61,133],"resource":[62,98,134],"utilization":[63,135],"efficiency.":[64,136],"Specifically,":[65],"service":[67,89,125,129],"workload":[68],"each":[70,101],"node":[72],"predicted":[74],"by":[75,106],"time":[77],"series":[78],"parallel":[79],"prediction":[80,86],"model.":[81],"Then,":[82],"these":[85],"results":[87,114],"workload,":[90],"autoscaling":[92],"decisions":[93],"for":[97],"adjustment":[99],"in":[100],"cycle":[102],"scale":[103],"obtained":[105],"multi-agent":[108],"proximal":[109],"policy":[110],"optimization":[111],"algorithm.":[112],"Experimental":[113],"show":[115],"that":[116],"proposed":[118],"can":[120],"degree":[123],"level":[126],"agreement":[127],"applications":[130],"and":[131]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}