{"id":"https://openalex.org/W4296704964","doi":"https://doi.org/10.1109/tmc.2022.3208420","title":"Online Edge Computing Demand Response via Deadline-Aware V2G Discharging Auctions","display_name":"Online Edge Computing Demand Response via Deadline-Aware V2G Discharging Auctions","publication_year":2022,"publication_date":"2022-09-21","ids":{"openalex":"https://openalex.org/W4296704964","doi":"https://doi.org/10.1109/tmc.2022.3208420"},"language":"en","primary_location":{"id":"doi:10.1109/tmc.2022.3208420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3208420","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","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/A5008389039","display_name":"Fei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fei Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053369746","display_name":"Lei Jiao","orcid":"https://orcid.org/0000-0002-3964-3172"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Jiao","raw_affiliation_strings":["Department of Computer and Information Science, University of Oregon, Eugene, OR, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016383874","display_name":"Konglin Zhu","orcid":"https://orcid.org/0000-0001-7671-311X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Konglin Zhu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351907","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0003-0424-9965"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008389039"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.8617,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71048871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"22","issue":"12","first_page":"7279","last_page":"7293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9976999759674072,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7919442653656006},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5255257487297058},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5254249572753906},{"id":"https://openalex.org/keywords/combinatorial-auction","display_name":"Combinatorial auction","score":0.5228936076164246},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.49744537472724915},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.48780062794685364},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.4816407263278961},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.44038134813308716},{"id":"https://openalex.org/keywords/competitive-analysis","display_name":"Competitive analysis","score":0.42659732699394226},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34271353483200073},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20650088787078857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10409551858901978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1010405421257019},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.0972486138343811}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7919442653656006},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5255257487297058},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5254249572753906},{"id":"https://openalex.org/C59919655","wikidata":"https://www.wikidata.org/wiki/Q5150821","display_name":"Combinatorial auction","level":3,"score":0.5228936076164246},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.49744537472724915},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.48780062794685364},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.4816407263278961},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.44038134813308716},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.42659732699394226},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34271353483200073},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20650088787078857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10409551858901978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1010405421257019},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.0972486138343811},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmc.2022.3208420","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmc.2022.3208420","pdf_url":null,"source":{"id":"https://openalex.org/S69141925","display_name":"IEEE Transactions on Mobile Computing","issn_l":"1536-1233","issn":["1536-1233","1558-0660","2161-9875"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Mobile Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5922490739","display_name":null,"funder_award_id":"4222033","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6636224981","display_name":null,"funder_award_id":"CNS-2047719","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W240410933","https://openalex.org/W1947078470","https://openalex.org/W1984628625","https://openalex.org/W2029050771","https://openalex.org/W2099870629","https://openalex.org/W2126170153","https://openalex.org/W2172331085","https://openalex.org/W2508573783","https://openalex.org/W2521629026","https://openalex.org/W2527855297","https://openalex.org/W2568772110","https://openalex.org/W2739823223","https://openalex.org/W2786349793","https://openalex.org/W2786511190","https://openalex.org/W2786918768","https://openalex.org/W2810376300","https://openalex.org/W2810987431","https://openalex.org/W2894393869","https://openalex.org/W2897469946","https://openalex.org/W2908532574","https://openalex.org/W2922504910","https://openalex.org/W2963225441","https://openalex.org/W2963809228","https://openalex.org/W2966550404","https://openalex.org/W3048962840","https://openalex.org/W3086709169","https://openalex.org/W3103363130","https://openalex.org/W3126593610","https://openalex.org/W3170718966","https://openalex.org/W3194225312","https://openalex.org/W3196856912","https://openalex.org/W4250589301","https://openalex.org/W6633525660","https://openalex.org/W6657430616"],"related_works":["https://openalex.org/W4213299358","https://openalex.org/W2564742953","https://openalex.org/W2793095688","https://openalex.org/W1623410360","https://openalex.org/W2164943659","https://openalex.org/W3115340459","https://openalex.org/W2950803469","https://openalex.org/W2583614279","https://openalex.org/W2004975914","https://openalex.org/W2109659895"],"abstract_inverted_index":{"Distributed":[0],"edge":[1,55],"computing":[2],"systems":[3],"that":[4,115,154],"participate":[5],"in":[6,158],"Emergency":[7],"Demand":[8],"Response":[9],"(EDR)":[10],"programs":[11],"can":[12],"adjust":[13],"workload":[14],"across":[15],"heterogenous":[16],"edges":[17],"to":[18,41,50,53,62,65,92,169,197],"reduce":[19,29],"total":[20],"energy":[21,31,52,67],"consumption.":[22],"Unfortunately,":[23],"this":[24,37],"approach":[25,156,195],"may":[26],"not":[27],"always":[28],"sufficient":[30],"as":[32,77],"required":[33,94],"by":[34],"EDR.":[35],"In":[36],"paper,":[38],"we":[39,72,101,186],"propose":[40],"leverage":[42],"Electrical":[43],"Vehicles":[44],"(EVs)":[45],"and":[46,57,89,137,142,163,167],"Vehicle-to-Grid":[47],"(V2G)":[48],"techniques":[49],"provide":[51],"the":[54,69,78,84,90,128,133,144,175,189],"system,":[56],"design":[58,102],"an":[59],"auction":[60],"mechanism":[61],"incentivize":[63],"EVs":[64],"discharge":[66],"for":[68,174],"edges.":[70],"Yet,":[71],"face":[73],"critical":[74],"challenges,":[75,100],"such":[76,99],"uncertainty":[79],"of":[80,86,112,193],"EV":[81],"bid":[82],"arrivals,":[83],"restriction":[85],"discharging":[87],"deadlines,":[88],"desire":[91],"achieve":[93],"economic":[95],"efficiency.":[96],"To":[97],"overcome":[98],"a":[103,138,170],"novel":[104],"online":[105],"approach,":[106],"<inline-formula":[107],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[108],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[109],"notation=\"LaTeX\">$E^{3}$</tex-math></inline-formula>":[110],"DR,":[111],"multiple":[113],"algorithms":[114],"decompose":[116],"our":[117,155,194],"original":[118],"NP-hard":[119],"social":[120,177],"cost":[121],"minimization":[122],"problem":[123],"into":[124],"two":[125],"subproblems,":[126],"solve":[127,143],"first":[129],"subproblem":[130,146],"via":[131,147],"reformulation,":[132],"primal-dual":[134],"optimization":[135],"theory,":[136],"careful":[139],"payment":[140],"design,":[141],"second":[145],"standard":[148],"solvers.":[149],"We":[150],"have":[151,187],"rigorously":[152],"proved":[153],"finishes":[157],"polynomial":[159],"time,":[160],"achieves":[161],"truthfulness":[162],"individual":[164],"rationality":[165],"economically,":[166],"leads":[168],"parameterized":[171],"competitive":[172],"ratio":[173],"long-term":[176],"cost.":[178],"Through":[179],"extensive":[180],"evaluations":[181],"using":[182],"real-world":[183],"data":[184],"traces,":[185],"validated":[188],"superior":[190],"practical":[191],"performance":[192],"compared":[196],"existing":[198],"algorithms.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
