{"id":"https://openalex.org/W4385695071","doi":"https://doi.org/10.1145/3605801.3605827","title":"Task Migration Optimization Algorithm in Mobile Edge Computing","display_name":"Task Migration Optimization Algorithm in Mobile Edge Computing","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4385695071","doi":"https://doi.org/10.1145/3605801.3605827"},"language":"en","primary_location":{"id":"doi:10.1145/3605801.3605827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","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/A5101749133","display_name":"Xiaowei Zhao","orcid":"https://orcid.org/0000-0001-9631-1177"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Zhao","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-9631-1177","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092230643","display_name":"Yuanyuan Zhang","orcid":"https://orcid.org/0009-0005-9600-4798"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhang","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-9600-4798","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101931446","display_name":"Mingchu Li","orcid":"https://orcid.org/0000-0001-7969-6415"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchu Li","raw_affiliation_strings":["Dalian University of Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-7969-6415","affiliations":[{"raw_affiliation_string":"Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1897,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4950192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9991999864578247,"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":0.9991999864578247,"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/T13553","display_name":"Age of Information Optimization","score":0.9905999898910522,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8447721004486084},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.6548919081687927},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6149399280548096},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5946813821792603},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5724606513977051},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5067508816719055},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4993102550506592},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49836134910583496},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.460226833820343},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44898679852485657},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4298035204410553},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4181733727455139},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4139062464237213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3516460657119751},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.35117438435554504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25355422496795654},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24765074253082275},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08607149124145508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8447721004486084},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.6548919081687927},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6149399280548096},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5946813821792603},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5724606513977051},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5067508816719055},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4993102550506592},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49836134910583496},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.460226833820343},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44898679852485657},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4298035204410553},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4181733727455139},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4139062464237213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3516460657119751},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.35117438435554504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25355422496795654},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24765074253082275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08607149124145508},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3605801.3605827","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3605801.3605827","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2045230780","https://openalex.org/W2262390119","https://openalex.org/W2392395307","https://openalex.org/W2483192650","https://openalex.org/W2624989916","https://openalex.org/W2913454702","https://openalex.org/W2944045014","https://openalex.org/W2947829929","https://openalex.org/W3149599232","https://openalex.org/W3175408208","https://openalex.org/W4254291582","https://openalex.org/W4311816668","https://openalex.org/W4387011267","https://openalex.org/W4388430244","https://openalex.org/W6713906480"],"related_works":["https://openalex.org/W3154796165","https://openalex.org/W4361251304","https://openalex.org/W2902693277","https://openalex.org/W4378977105","https://openalex.org/W3139051647","https://openalex.org/W3024547383","https://openalex.org/W2796352555","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W2968424451"],"abstract_inverted_index":{"With":[0],"the":[1,4,35,43,46,56,77,89,112,117,145,150,158,163,185,188],"rise":[2],"of":[3,6,22,37,45,58,152,157,167,176,187],"Internet":[5],"Things(IoT)":[7],"and":[8,12,16,29,87,104,140,173],"big":[9],"data,":[10],"more":[11,13],"mobile":[14],"devices":[15],"sensors":[17],"are":[18],"generating":[19],"massive":[20],"amounts":[21],"data":[23],"that":[24],"need":[25],"to":[26,48,51,109,148,161],"be":[27],"processed":[28],"analyzed.":[30],"Mobile":[31],"edge":[32,44],"computing":[33],"improves":[34],"quality":[36,57],"service":[38],"by":[39],"setting":[40],"servers":[41],"at":[42],"network":[47,139],"provide":[49],"services":[50],"end":[52],"devices,":[53],"thereby":[54],"enhancing":[55],"user":[59,90,95],"experience.":[60],"This":[61],"paper":[62,183],"presents":[63],"a":[64,72,83,125,135,174],"migration":[65,80,100,118,191],"optimization":[66],"scheme":[67],"for":[68],"multi-mobile":[69],"users":[70],"in":[71,116],"multi-edge":[73],"server":[74],"scenario,":[75],"modeling":[76],"multi-user":[78],"task":[79,190],"process":[81,86],"as":[82,97,102,107],"Markov":[84],"decision":[85],"considering":[88],"mobility":[91],"factor,":[92],"with":[93,178],"joint":[94,99],"states":[96],"states,":[98],"decisions":[101],"actions,":[103],"global":[105],"rewards":[106,108],"fully":[110],"consider":[111],"energy":[113],"consumption":[114],"constraints":[115],"process.":[119],"In":[120],"this":[121,182],"paper,":[122],"we":[123],"propose":[124],"K-PPO":[126],"algorithm":[127,147,159],"based":[128,143],"on":[129,144],"deep":[130],"reinforcement":[131],"learning,":[132],"which":[133],"introduces":[134],"centralized":[136],"critical":[137],"critic":[138],"counterfactual":[141],"benchmark":[142],"PPO":[146],"improve":[149],"efficiency":[151],"policy":[153],"learning.":[154],"The":[155],"goal":[156],"is":[160],"minimize":[162],"average":[164],"completion":[165],"time":[166],"all":[168],"tasks.":[169],"Through":[170],"comparative":[171],"experiments":[172],"series":[175],"evaluations":[177],"existing":[179],"baseline":[180],"methods,":[181],"demonstrates":[184],"effectiveness":[186],"proposed":[189],"algorithm.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
