{"id":"https://openalex.org/W4322706867","doi":"https://doi.org/10.1109/tnsm.2023.3250395","title":"GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading","display_name":"GASTO: A Fast Adaptive Graph Learning Framework for Edge Computing Empowered Task Offloading","publication_year":2023,"publication_date":"2023-02-28","ids":{"openalex":"https://openalex.org/W4322706867","doi":"https://doi.org/10.1109/tnsm.2023.3250395"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2023.3250395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2023.3250395","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-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/A5058330480","display_name":"Yinong Li","orcid":"https://orcid.org/0000-0002-4491-0140"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yinong Li","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361574","display_name":"Jianbo Li","orcid":"https://orcid.org/0000-0001-8756-7007"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianbo Li","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033243530","display_name":"Zhiqiang Lv","orcid":"https://orcid.org/0000-0002-3071-160X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210158139","display_name":"Qingdao Institute of Bioenergy and Bioprocess Technology","ror":"https://ror.org/05h3vcy91","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210158139"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Lv","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China","Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]},{"raw_affiliation_string":"Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao, China","institution_ids":["https://openalex.org/I4210158139","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100327709","display_name":"Haoran Li","orcid":"https://orcid.org/0000-0001-6421-0128"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoran Li","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372109","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0003-2049-5285"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073251970","display_name":"Zhihao Xu","orcid":"https://orcid.org/0000-0002-4246-7544"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihao Xu","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, Qingdao, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058330480"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9862,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.98243839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"20","issue":"2","first_page":"932","last_page":"944"},"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":0.9952999949455261,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8402911424636841},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.6673488616943359},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.581445574760437},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5243961215019226},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.4440721869468689},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43158045411109924},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41935837268829346},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36105582118034363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34078162908554077},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.31046223640441895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2092410922050476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8402911424636841},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.6673488616943359},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.581445574760437},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5243961215019226},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.4440721869468689},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43158045411109924},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41935837268829346},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36105582118034363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34078162908554077},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31046223640441895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2092410922050476},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tnsm.2023.3250395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2023.3250395","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1996579288","https://openalex.org/W2020279330","https://openalex.org/W2064675550","https://openalex.org/W2079530268","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2143488688","https://openalex.org/W2167968579","https://openalex.org/W2397504766","https://openalex.org/W2400861403","https://openalex.org/W2578206533","https://openalex.org/W2604763608","https://openalex.org/W2736601468","https://openalex.org/W2794363191","https://openalex.org/W2851456136","https://openalex.org/W2907492528","https://openalex.org/W2963341924","https://openalex.org/W2985414417","https://openalex.org/W3000194269","https://openalex.org/W3002258616","https://openalex.org/W3009886508","https://openalex.org/W3010178570","https://openalex.org/W3024681024","https://openalex.org/W3042029390","https://openalex.org/W3047538493","https://openalex.org/W3081638697","https://openalex.org/W3100386461","https://openalex.org/W3123257271","https://openalex.org/W3137432794","https://openalex.org/W3154878987","https://openalex.org/W3161037238","https://openalex.org/W3163842339","https://openalex.org/W3172247901","https://openalex.org/W3184388372","https://openalex.org/W3185143736","https://openalex.org/W3187853698","https://openalex.org/W3202920624","https://openalex.org/W3206994654","https://openalex.org/W3210409505","https://openalex.org/W3212845011","https://openalex.org/W4213005277","https://openalex.org/W4221160470","https://openalex.org/W4226072887","https://openalex.org/W4290973640","https://openalex.org/W4297733535","https://openalex.org/W4300971732","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6717697761","https://openalex.org/W6729433768","https://openalex.org/W6731982132","https://openalex.org/W6736057607","https://openalex.org/W6741002519","https://openalex.org/W6750222692","https://openalex.org/W6776331362","https://openalex.org/W6781921895","https://openalex.org/W6803287265"],"related_works":["https://openalex.org/W2146569528","https://openalex.org/W1998712144","https://openalex.org/W4287028074","https://openalex.org/W4214487273","https://openalex.org/W2106828717","https://openalex.org/W3191289342","https://openalex.org/W4300165677","https://openalex.org/W4297817344","https://openalex.org/W4292730466","https://openalex.org/W2372211403"],"abstract_inverted_index":{"Mobile":[0],"edge":[1],"computing":[2],"(MEC)":[3],"has":[4],"become":[5],"a":[6,53,103,123],"research":[7],"trend":[8],"that":[9,223],"solves":[10],"effectively":[11],"computationally":[12],"intensive":[13],"and":[14,25,27,39,65,80,106,175,196],"latency-sensitive":[15],"tasks.":[16],"MEC":[17],"environments":[18,33,86,221],"in":[19,92,134,152,161,187,219],"the":[20,29,32,37,48,71,93,111,114,117,132,142,156,169,176,191,197,201,210,224,232],"real":[21],"world":[22],"are":[23,108],"dynamic":[24],"uncertain":[26],"then":[28],"changes":[30],"of":[31,41,98,144,171,179,194,199,203,216],"bring":[34],"challenges":[35],"to":[36,46,82,84,154,189,231],"generalization":[38],"robustness":[40,198],"offloading":[42,57],"algorithms.":[43],"In":[44,163],"order":[45,188],"solve":[47],"above":[49],"problem,":[50],"we":[51],"propose":[52],"meta-reinforcement":[54],"learning":[55],"task":[56,90,115],"algorithm":[58,226],"GASTO":[59,227],"based":[60],"on":[61,116,141],"Graph":[62,126,147],"Neural":[63,148],"Network":[64,149],"seq2seq":[66],"network.":[67],"Meta-learning":[68],"can":[69,167,182,228],"learn":[70],"optimal":[72],"initialization":[73],"parameter":[74],"through":[75],"several":[76],"gradient":[77],"descent":[78],"steps":[79],"samples":[81],"adapt":[83,230],"new":[85,233],"more":[87],"quickly.":[88],"The":[89,128,213],"generated":[91,184],"user":[94,118],"equipment":[95,119],"is":[96,120,150,206],"composed":[97],"multiple":[99],"subtasks":[100,133,160,181],"rather":[101],"than":[102],"single":[104],"task,":[105],"there":[107],"dependencies":[109],"between":[110,131,159],"subtasks.":[112],"Therefore,":[113],"modeled":[121],"as":[122],"Directed":[124],"Acyclic":[125],"(DAG).":[127],"connection":[129],"relationship":[130],"DAG":[135,153],"plays":[136],"an":[137],"important":[138],"role.":[139],"Drawing":[140],"idea":[143],"message":[145],"passing,":[146],"applied":[151],"extract":[155],"intrinsic":[157],"correlation":[158],"GASTO.":[162],"addition,":[164],"Seq2Seq":[165],"network":[166],"reduce":[168],"dimension":[170],"action":[172],"space":[173],"effectively,":[174],"scheduling":[177],"decisions":[178],"all":[180],"be":[183],"simultaneously.":[185],"Besides,":[186],"enhance":[190],"sampling":[192,204],"efficiency":[193],"tasks":[195,205],"GASTO,":[200],"priority":[202],"adjusted":[207],"dynamically":[208],"during":[209],"training":[211],"process.":[212],"experimental":[214],"results":[215],"four":[217],"algorithms":[218],"different":[220],"show":[222],"proposed":[225],"quickly":[229],"environment.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}