{"id":"https://openalex.org/W4393141444","doi":"https://doi.org/10.1109/ants59832.2023.10468986","title":"VMAP: Matching-based Efficient Offloading in IoT-Fog Environments with Variable Resources","display_name":"VMAP: Matching-based Efficient Offloading in IoT-Fog Environments with Variable Resources","publication_year":2023,"publication_date":"2023-12-17","ids":{"openalex":"https://openalex.org/W4393141444","doi":"https://doi.org/10.1109/ants59832.2023.10468986"},"language":"en","primary_location":{"id":"doi:10.1109/ants59832.2023.10468986","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ants59832.2023.10468986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","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/A5006587534","display_name":"Jui Vijay Morey","orcid":"https://orcid.org/0000-0001-8805-6735"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jui Morey","raw_affiliation_strings":["Cloud and Smart System Services Lab,Department of Computer Science and Engineering"],"affiliations":[{"raw_affiliation_string":"Cloud and Smart System Services Lab,Department of Computer Science and Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023176596","display_name":"Anurag Satpathy","orcid":"https://orcid.org/0000-0002-7201-3463"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anurag Satpathy","raw_affiliation_strings":["Missouri University of Science and Technology, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032447000","display_name":"Sourav Kanti Addya","orcid":"https://orcid.org/0000-0001-8166-2847"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sourav Kanti Addya","raw_affiliation_strings":["National Institute of Technology Karnataka,Surathkal,India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Karnataka,Surathkal,India","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006587534"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2006,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5607853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"714","last_page":"719"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9959999918937683,"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":0.7252172231674194},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6967304348945618},{"id":"https://openalex.org/keywords/fog-computing","display_name":"Fog computing","score":0.6405396461486816},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6374675035476685},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5562840104103088},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36040133237838745},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.28868523240089417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252172231674194},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6967304348945618},{"id":"https://openalex.org/C2986652147","wikidata":"https://www.wikidata.org/wiki/Q21809931","display_name":"Fog computing","level":3,"score":0.6405396461486816},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6374675035476685},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5562840104103088},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36040133237838745},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.28868523240089417},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ants59832.2023.10468986","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ants59832.2023.10468986","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W158950929","https://openalex.org/W2063525042","https://openalex.org/W2891835177","https://openalex.org/W2986151567","https://openalex.org/W2994654853","https://openalex.org/W3009917461","https://openalex.org/W3013264602","https://openalex.org/W3083869687","https://openalex.org/W3087990754","https://openalex.org/W3177835603","https://openalex.org/W3190552044","https://openalex.org/W3201019018","https://openalex.org/W3203505883","https://openalex.org/W3206849245","https://openalex.org/W3208824494","https://openalex.org/W4200350846","https://openalex.org/W4206798717","https://openalex.org/W4220979741","https://openalex.org/W4221141444","https://openalex.org/W4283803178","https://openalex.org/W4295974676","https://openalex.org/W4312649860","https://openalex.org/W6810156690"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2950174689","https://openalex.org/W4285553818","https://openalex.org/W4390647609","https://openalex.org/W4210913893","https://openalex.org/W2990732744","https://openalex.org/W4381747553"],"abstract_inverted_index":{"Fog":[0],"computing":[1],"is":[2,18,85],"a":[3,15,33,44,76,88,151],"promising":[4],"technology":[5],"for":[6,32],"critical,":[7],"resource-intensive,":[8],"and":[9,28,62,99,110,138,143,155],"time-sensitive":[10],"applications.":[11],"In":[12],"this":[13,73],"regard,":[14],"significant":[16],"challenge":[17],"generating":[19],"an":[20],"offloading":[21],"solution":[22],"that":[23,126],"minimizes":[24],"the":[25,38,80,108,113,118,127,131,163],"latency,":[26],"energy,":[27],"number":[29],"of":[30,95,112,157],"outages":[31],"dense":[34],"IoT-Fog":[35],"environment.":[36],"However,":[37],"existing":[39],"solutions":[40,59],"either":[41],"focus":[42],"on":[43],"single":[45],"objective":[46],"or":[47],"mainly":[48],"dedicate":[49],"fixed-sized":[50],"resources":[51],"as":[52,87],"virtual":[53],"resource":[54,147],"units":[55],"(VRUs).":[56],"Moreover,":[57,107],"these":[58,71],"are":[60,115],"restrictive":[61],"not":[63],"comprehensive,":[64],"resulting":[65],"in":[66],"poor":[67],"performance.":[68],"To":[69],"overcome":[70],"challenges,":[72],"paper":[74],"proposes":[75],"VMAP":[77],"model":[78],"addressing":[79],"lacunas":[81],"above.":[82],"Offloading":[83],"problem":[84],"abstracted":[86],"one-to-many":[89],"matching":[90],"game":[91],"between":[92],"two":[93],"sets":[94],"entities":[96],"-":[97],"tasks":[98,158],"fog":[100],"nodes":[101],"(FNs)":[102],"by":[103,141,153],"considering":[104,134],"both":[105],"preferences.":[106],"preferences":[109],"weights":[111],"parameters":[114],"generated":[116],"using":[117],"Analytic":[119],"Hierarchy":[120],"Process":[121],"(AHP).":[122],"Exhaustive":[123],"simulations":[124],"indicate":[125],"proposed":[128],"strategy":[129],"outperforms":[130],"baseline":[132],"algorithms,":[133],"average":[135],"task":[136],"latency":[137],"energy":[139],"consumption":[140],"35%":[142],"22.2%,":[144],"respectively.":[145],"Additionally,":[146],"utilization":[148],"also":[149],"experiences":[150],"boost":[152],"28.57%,":[154],"97.98%":[156],"complete":[159],"their":[160],"execution":[161],"within":[162],"deadlines.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}