{"id":"https://openalex.org/W3112053383","doi":"https://doi.org/10.1109/smc42975.2020.9283467","title":"Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems","display_name":"Profit-Maximized Task Offloading with Simulated-annealing-based Migrating Birds Optimization in Hybrid Cloud-Edge Systems","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3112053383","doi":"https://doi.org/10.1109/smc42975.2020.9283467","mag":"3112053383"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5070546858","display_name":"Haitao Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitao Yuan","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057935426","display_name":"Jing Bi","orcid":"https://orcid.org/0000-0002-4610-0141"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Bi","raw_affiliation_strings":["Faculty of lnformation Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of lnformation Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"MengChu Zhou","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100360704","display_name":"Jia Zhang","orcid":"https://orcid.org/0000-0003-2148-0923"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["Southern Methodist University, Dallas, TX, USA"],"affiliations":[{"raw_affiliation_string":"Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100653327","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-1059-3642"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070546858"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.3084,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.62583504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1218","last_page":"1223"},"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/T13553","display_name":"Age of Information Optimization","score":0.9900000095367432,"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/T12079","display_name":"IoT Networks and Protocols","score":0.988099992275238,"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":0.8376596570014954},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7924947738647461},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.6835923790931702},{"id":"https://openalex.org/keywords/profit-maximization","display_name":"Profit maximization","score":0.5699061751365662},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5340121388435364},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48958620429039},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.47330060601234436},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.47316986322402954},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.44152015447616577},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.439802348613739},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.35849714279174805},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.348190039396286},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10361406207084656},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09692579507827759},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07500565052032471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8376596570014954},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7924947738647461},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.6835923790931702},{"id":"https://openalex.org/C2777780509","wikidata":"https://www.wikidata.org/wiki/Q1377422","display_name":"Profit maximization","level":3,"score":0.5699061751365662},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5340121388435364},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48958620429039},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.47330060601234436},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.47316986322402954},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.44152015447616577},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.439802348613739},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.35849714279174805},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.348190039396286},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10361406207084656},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09692579507827759},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07500565052032471},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325551","display_name":"National Defense Pre-Research Foundation of China","ror":null},{"id":"https://openalex.org/F4320335682","display_name":"Major Science and Technology Program for Water Pollution Control and Treatment","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1891558470","https://openalex.org/W1985090408","https://openalex.org/W2071988618","https://openalex.org/W2080017588","https://openalex.org/W2085752013","https://openalex.org/W2092462284","https://openalex.org/W2170757999","https://openalex.org/W2187537484","https://openalex.org/W2329788239","https://openalex.org/W2464889299","https://openalex.org/W2516316490","https://openalex.org/W2559998407","https://openalex.org/W2580244657","https://openalex.org/W2596861151","https://openalex.org/W2737226411","https://openalex.org/W2773498880","https://openalex.org/W2793509918","https://openalex.org/W2799627099","https://openalex.org/W2894761219","https://openalex.org/W2896918824","https://openalex.org/W2910439483","https://openalex.org/W3106321396"],"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/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435"],"abstract_inverted_index":{"As":[0],"an":[1],"emerging":[2],"framework,":[3],"edge":[4,21,30,48],"computing":[5],"achieves":[6],"Internet":[7],"of":[8,54,103,120,127],"Things":[9],"by":[10,147],"providing":[11],"computing,":[12],"storage":[13],"and":[14,35,71,86,117,125,130,162],"network":[15],"resources.":[16],"It":[17,39,112],"moves":[18],"computation":[19],"to":[20,42,50,80,99,154],"devices":[22],"located":[23],"near":[24],"users.":[25],"Nevertheless,":[26],"nodes":[27,121],"in":[28,46,122,132],"the":[29,47,123,163],"often":[31],"own":[32,60],"limited":[33],"resources":[34,63],"constrained":[36,141],"energy":[37,129],"capacities.":[38],"is":[40,77,145],"impossible":[41],"entirely":[43],"execute":[44],"tasks":[45,83],"due":[49],"their":[51],"unsatisfied":[52],"quality":[53],"service.":[55],"Cloud":[56],"data":[57],"centers":[58],"(CDCs)":[59],"almost":[61],"unlimited":[62],"yet":[64],"they":[65],"might":[66],"cause":[67],"large":[68],"transmission":[69],"delay":[70],"high":[72],"resource":[73],"cost.":[74],"Consequently,":[75],"it":[76],"highly":[78],"needed":[79],"intelligently":[81],"offload":[82],"between":[84,160],"CDC":[85,161],"edge.":[87,164],"This":[88],"work":[89],"proposes":[90],"a":[91,104,139,148,156],"task":[92],"offloading":[93,158],"algorithm":[94,153],"for":[95],"hybrid":[96],"cloud-edge":[97],"systems":[98],"achieve":[100],"profit":[101,172],"maximization":[102],"system":[105],"provider":[106],"with":[107],"response":[108],"time":[109],"bound":[110],"assurance.":[111],"comprehensively":[113],"investigates":[114],"CPU,":[115],"memory":[116],"bandwidth":[118],"limits":[119],"edge,":[124],"constraints":[126],"available":[128],"servers":[131],"CDC.":[133],"These":[134],"factors":[135],"are":[136],"integrated":[137],"into":[138],"single-objective":[140],"optimization":[142,152],"problem,":[143],"which":[144],"solved":[146],"simulated-annealing-based":[149],"migrating":[150],"birds":[151],"yield":[155],"close-to-optimal":[157],"policy":[159],"Real-life":[165],"data-driven":[166],"experimental":[167],"results":[168],"show":[169],"that":[170],"its":[171,174],"outperforms":[173],"four":[175],"typical":[176],"peers.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}