{"id":"https://openalex.org/W4206431762","doi":"https://doi.org/10.1109/ipccc51483.2021.9679438","title":"Data Placement Strategies for Data-Intensive Computing over Edge Clouds","display_name":"Data Placement Strategies for Data-Intensive Computing over Edge Clouds","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4206431762","doi":"https://doi.org/10.1109/ipccc51483.2021.9679438"},"language":"en","primary_location":{"id":"doi:10.1109/ipccc51483.2021.9679438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc51483.2021.9679438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)","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/A5060069798","display_name":"Xinliang Wei","orcid":"https://orcid.org/0000-0001-9136-2178"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xinliang Wei","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074220260","display_name":"Arrasy Rahman","orcid":"https://orcid.org/0000-0003-1006-9653"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A B M Mohaimenur Rahman","raw_affiliation_strings":["University of North Carolina at Charlotte,Department of Computer Science,Charlotte,NC,USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Charlotte,Department of Computer Science,Charlotte,NC,USA","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100445144","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-0431-1039"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA"],"affiliations":[{"raw_affiliation_string":"Temple University,Department of Computer and Information Sciences,Philadelphia,PA,USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060069798"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.32,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63773268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9990000128746033,"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/T11478","display_name":"Caching and Content Delivery","score":0.9980999827384949,"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":0.8516884446144104},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.704734742641449},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6943672299385071},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6698956489562988},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5986199378967285},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5505240559577942},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5075119733810425},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5056934356689453},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.50260329246521},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4553442895412445},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.30395209789276123},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23889335989952087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1208292543888092},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10820850729942322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8516884446144104},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.704734742641449},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6943672299385071},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6698956489562988},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5986199378967285},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5505240559577942},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5075119733810425},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5056934356689453},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.50260329246521},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4553442895412445},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.30395209789276123},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23889335989952087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1208292543888092},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10820850729942322},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipccc51483.2021.9679438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipccc51483.2021.9679438","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Performance, Computing, and Communications Conference (IPCCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1973157729","https://openalex.org/W2001441766","https://openalex.org/W2160912862","https://openalex.org/W2416799949","https://openalex.org/W2426256452","https://openalex.org/W2899430309","https://openalex.org/W2902547952","https://openalex.org/W2908538351","https://openalex.org/W2919603306","https://openalex.org/W2920163979","https://openalex.org/W2923257088","https://openalex.org/W2952516215","https://openalex.org/W2964115256","https://openalex.org/W2973288277","https://openalex.org/W2982579831","https://openalex.org/W3044672725","https://openalex.org/W3044769767","https://openalex.org/W3082669653","https://openalex.org/W3198057248"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W4312996489"],"abstract_inverted_index":{"Edge":[0],"computing":[1,7,15,45,79],"has":[2],"become":[3],"an":[4,147,162],"increasingly":[5],"popular":[6],"paradigm.":[8],"Deploying":[9],"edge":[10,18,44,55,78,108],"clouds":[11,56],"allows":[12],"performing":[13],"data-intensive":[14,43],"at":[16,53],"the":[17,20,39,51,54,59,63,97,123,131,137,141,152,155,172,185],"of":[19,23,38,133,188],"network":[21],"instead":[22],"a":[24,73,90,111],"remote":[25],"cloud":[26],"to":[27,48,62,110,136,170],"reduce":[28,184],"data":[29,34,52,64,74,82,91,98,105,116,127,134,156,189],"access":[30,60],"latency":[31,61,187],"and":[32,107,114,139],"improve":[33],"processing":[35],"efficiency.":[36],"One":[37],"key":[40],"challenges":[41],"in":[42,77,122],"is":[46,65],"how":[47],"effectively":[49],"place":[50],"such":[57,72],"that":[58,179],"minimized.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70],"study":[71],"placement":[75,94,142,149,174],"problem":[76],"where":[80],"different":[81],"items":[83,106,135],"have":[84],"diverse":[85],"popularity.":[86],"We":[87,125,144],"first":[88],"propose":[89,146],"popularity":[92,128],"based":[93,117],"method":[95],"when":[96,154],"requests":[99,157],"are":[100,158],"unknown.":[101],"It":[102],"maps":[103],"both":[104,130,180],"servers":[109],"virtual":[112,120],"plane":[113,138],"places":[115],"on":[118],"its":[119],"coordinate":[121],"plane.":[124],"consider":[126],"during":[129],"mapping":[132],"making":[140],"decision.":[143,175],"further":[145],"optimization-based":[148],"strategy":[150],"for":[151],"case":[153],"known.":[159],"By":[160],"formulating":[161],"integer":[163],"programming":[164],"problem,":[165],"our":[166],"proposed":[167,181],"solution":[168],"aims":[169],"find":[171],"optimal":[173],"Simulation":[176],"results":[177],"show":[178],"strategies":[182],"efficiently":[183],"average":[186],"access.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
