{"id":"https://openalex.org/W3156701570","doi":"https://doi.org/10.1109/infocom42981.2021.9488910","title":"Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning","display_name":"Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning","publication_year":2021,"publication_date":"2021-05-10","ids":{"openalex":"https://openalex.org/W3156701570","doi":"https://doi.org/10.1109/infocom42981.2021.9488910","mag":"3156701570"},"language":"en","primary_location":{"id":"doi:10.1109/infocom42981.2021.9488910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","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/A5028160799","display_name":"Tongyu Zong","orcid":"https://orcid.org/0000-0001-5107-4614"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tongyu Zong","raw_affiliation_strings":["New York University,Tandon School of Engineering,USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Tandon School of Engineering,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369840","display_name":"Chen Li","orcid":"https://orcid.org/0000-0002-4383-8327"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chen Li","raw_affiliation_strings":["New York University,Tandon School of Engineering,USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Tandon School of Engineering,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057935275","display_name":"Yuanyuan Lei","orcid":"https://orcid.org/0000-0002-9753-8071"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanyuan Lei","raw_affiliation_strings":["New York University,Tandon School of Engineering,USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Tandon School of Engineering,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947926","display_name":"Guangyu Li","orcid":"https://orcid.org/0000-0002-8054-1696"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangyu Li","raw_affiliation_strings":["New York University,Tandon School of Engineering,USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Tandon School of Engineering,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102992790","display_name":"Houwei Cao","orcid":"https://orcid.org/0000-0002-2310-7682"},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houwei Cao","raw_affiliation_strings":["New York Institute of Technology,Department of Computer Science,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York Institute of Technology,Department of Computer Science,USA","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694769","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0002-0574-2877"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["New York University,Tandon School of Engineering,USA","Tandon School of Engineering, New York University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,Tandon School of Engineering,USA","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Tandon School of Engineering, New York University, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.7982,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.94499494,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":1.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.9033880233764648},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.6613525748252869},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5758838653564453},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5486645102500916},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5297276377677917},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5278006792068481},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4731898307800293},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4670471251010895},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.43852195143699646},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42112377285957336},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4096291959285736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32366085052490234},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1207471489906311},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11454549431800842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9033880233764648},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.6613525748252869},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5758838653564453},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5486645102500916},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5297276377677917},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5278006792068481},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4731898307800293},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4670471251010895},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.43852195143699646},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42112377285957336},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4096291959285736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32366085052490234},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1207471489906311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11454549431800842},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom42981.2021.9488910","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom42981.2021.9488910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","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":47,"referenced_works":["https://openalex.org/W54392637","https://openalex.org/W1487184349","https://openalex.org/W1549860141","https://openalex.org/W1620042822","https://openalex.org/W1676168856","https://openalex.org/W1860107648","https://openalex.org/W1972458861","https://openalex.org/W1985573567","https://openalex.org/W1987225815","https://openalex.org/W1999542175","https://openalex.org/W2014952121","https://openalex.org/W2024176568","https://openalex.org/W2033982704","https://openalex.org/W2038085771","https://openalex.org/W2041542784","https://openalex.org/W2063544484","https://openalex.org/W2096220631","https://openalex.org/W2124044878","https://openalex.org/W2136848157","https://openalex.org/W2155968351","https://openalex.org/W2471324813","https://openalex.org/W2478542382","https://openalex.org/W2491602136","https://openalex.org/W2592916654","https://openalex.org/W2603810864","https://openalex.org/W2624186268","https://openalex.org/W2746390786","https://openalex.org/W2746553466","https://openalex.org/W2789758093","https://openalex.org/W2887882300","https://openalex.org/W2903523957","https://openalex.org/W2911573951","https://openalex.org/W2962801070","https://openalex.org/W2963465792","https://openalex.org/W2963557499","https://openalex.org/W2963805280","https://openalex.org/W2965834989","https://openalex.org/W2966982543","https://openalex.org/W2980080427","https://openalex.org/W3008839940","https://openalex.org/W3032056119","https://openalex.org/W3033597088","https://openalex.org/W3047266715","https://openalex.org/W4247826844","https://openalex.org/W6602207505","https://openalex.org/W6639025630","https://openalex.org/W6773986939"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Edge":[0,37],"caching":[1,29,57,62,70,107,114,140,191],"will":[2],"play":[3],"a":[4,54,112,131],"critical":[5],"role":[6],"in":[7,19,105],"facilitating":[8],"the":[9,21,27,41,61,75,80,97,180],"emerging":[10],"content-rich":[11],"applications.":[12],"However,":[13],"it":[14],"faces":[15],"many":[16],"new":[17],"challenges,":[18],"particular,":[20],"highly":[22],"dynamic":[23,42],"content":[24,158],"popularity":[25,43],"and":[26,44,72,91,99],"heterogeneous":[28],"configurations.":[30],"In":[31],"this":[32,83],"paper,":[33],"we":[34,64,85,129,166],"propose":[35],"Cocktail":[36],"Caching,":[38],"that":[39,93,116,136,168],"tackles":[40],"heterogeneity":[45],"through":[46,88],"ensemble":[47,67],"learning.":[48],"Instead":[49],"of":[50,68,96,182],"trying":[51],"to":[52,78,143,189],"find":[53],"single":[55,175],"dominating":[56],"policy":[58,77],"for":[59,197],"all":[60,174],"scenarios,":[63],"employ":[65],"an":[66],"constituent":[69],"policies":[71,141],"adaptively":[73,137],"select":[74],"best-performing":[76],"control":[79],"cache.":[81],"Towards":[82],"goal,":[84],"first":[86],"show":[87],"formal":[89],"analysis":[90],"experiments":[92,154],"different":[94,106,190],"variations":[95],"LFU":[98],"LRU":[100],"polices":[101],"have":[102],"complementary":[103],"performance":[104],"scenarios.":[108],"We":[109],"further":[110],"develop":[111,130],"novel":[113],"algorithm":[115],"enhances":[117],"LFU/LRU":[118],"with":[119,193],"deep":[120,132],"recurrent":[121],"neural":[122],"network":[123],"(LSTM)":[124],"based":[125],"time-series":[126],"analysis.":[127],"Finally,":[128],"reinforcement":[133],"learning":[134],"agent":[135],"combines":[138],"base":[139],"according":[142],"their":[144],"virtual":[145,150],"hit":[146],"ratios":[147],"on":[148],"parallel":[149],"caches.":[151],"Through":[152],"extensive":[153],"driven":[155],"by":[156],"real":[157],"requests":[159],"from":[160],"two":[161],"large":[162],"video":[163],"streaming":[164],"platforms,":[165],"demonstrate":[167],"CEC":[169,184],"not":[170],"only":[171],"consistently":[172],"outperforms":[173],"policies,":[176],"but":[177],"also":[178],"improves":[179],"robustness":[181],"them.":[183],"can":[185],"be":[186],"well":[187],"generalized":[188],"scenarios":[192],"low":[194],"computation":[195],"overheads":[196],"deployment.":[198]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
