{"id":"https://openalex.org/W4404954420","doi":"https://doi.org/10.1109/vlsi-soc62099.2024.10767837","title":"Performance Analysis of Greedy and Auction-Based Resource Allocation Algorithms in Ubiquitous Computing Environments","display_name":"Performance Analysis of Greedy and Auction-Based Resource Allocation Algorithms in Ubiquitous Computing Environments","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4404954420","doi":"https://doi.org/10.1109/vlsi-soc62099.2024.10767837"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc62099.2024.10767837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc62099.2024.10767837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)","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/A5034310533","display_name":"Akshay Nagpal","orcid":"https://orcid.org/0000-0003-1684-2264"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Akshay Nagpal","raw_affiliation_strings":["New Jersey,New Jersey,USA"],"affiliations":[{"raw_affiliation_string":"New Jersey,New Jersey,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089169204","display_name":"Vivekananda Jayaram","orcid":"https://orcid.org/0009-0004-9389-9074"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vivekananda Jayaram","raw_affiliation_strings":["Texas,Texas,USA"],"affiliations":[{"raw_affiliation_string":"Texas,Texas,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108974067","display_name":"Manjunatha Sughaturu Krishnappa","orcid":"https://orcid.org/0009-0009-5260-0503"},"institutions":[{"id":"https://openalex.org/I1342911587","display_name":"Oracle (United States)","ror":"https://ror.org/006c77m33","country_code":"US","type":"company","lineage":["https://openalex.org/I1342911587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manjunatha Sughaturu Krishnappa","raw_affiliation_strings":["Oracle America Inc,California,USA"],"affiliations":[{"raw_affiliation_string":"Oracle America Inc,California,USA","institution_ids":["https://openalex.org/I1342911587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114285423","display_name":"Nikhil Jagdish Bangad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nikhil Jagdish Bangad","raw_affiliation_strings":["Texas,Texas,USA"],"affiliations":[{"raw_affiliation_string":"Texas,Texas,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114285425","display_name":"Darshan Mohan Bidkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Darshan Mohan Bidkar","raw_affiliation_strings":["Texas,Texas,USA"],"affiliations":[{"raw_affiliation_string":"Texas,Texas,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114971800","display_name":"Manoj Jayantilal Kathiriya","orcid":null},"institutions":[{"id":"https://openalex.org/I129331126","display_name":"Gaertner (United States)","ror":"https://ror.org/05ygj1d20","country_code":"US","type":"company","lineage":["https://openalex.org/I129331126"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manoj Jayantilal Kathiriya","raw_affiliation_strings":["Gartner Inc,Connecticut,USA"],"affiliations":[{"raw_affiliation_string":"Gartner Inc,Connecticut,USA","institution_ids":["https://openalex.org/I129331126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027629934","display_name":"Seema G. Aarella","orcid":"https://orcid.org/0009-0006-8807-3352"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seema G Aarella","raw_affiliation_strings":["University of North Texas,Texas,USA"],"affiliations":[{"raw_affiliation_string":"University of North Texas,Texas,USA","institution_ids":["https://openalex.org/I123534392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034310533"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7128,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7425657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9266999959945679,"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":0.9266999959945679,"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/T12288","display_name":"Optimization and Search Problems","score":0.9241999983787537,"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":0.801315426826477},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6809169054031372},{"id":"https://openalex.org/keywords/combinatorial-auction","display_name":"Combinatorial auction","score":0.6472283601760864},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5599861741065979},{"id":"https://openalex.org/keywords/ubiquitous-computing","display_name":"Ubiquitous computing","score":0.5087373852729797},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.451275497674942},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.43126487731933594},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3542594015598297},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.17423692345619202},{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.14966991543769836},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11416018009185791},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09334126114845276}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.801315426826477},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6809169054031372},{"id":"https://openalex.org/C59919655","wikidata":"https://www.wikidata.org/wiki/Q5150821","display_name":"Combinatorial auction","level":3,"score":0.6472283601760864},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5599861741065979},{"id":"https://openalex.org/C172195944","wikidata":"https://www.wikidata.org/wiki/Q541265","display_name":"Ubiquitous computing","level":2,"score":0.5087373852729797},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.451275497674942},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.43126487731933594},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3542594015598297},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.17423692345619202},{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.14966991543769836},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11416018009185791},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09334126114845276},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-soc62099.2024.10767837","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc62099.2024.10767837","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2018934112","https://openalex.org/W2023867815","https://openalex.org/W2128026023","https://openalex.org/W2130531694","https://openalex.org/W2159694746","https://openalex.org/W2161908970","https://openalex.org/W2162986857","https://openalex.org/W2508573783","https://openalex.org/W2546571074","https://openalex.org/W4206011897","https://openalex.org/W6696191295"],"related_works":["https://openalex.org/W2070975014","https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2380656574","https://openalex.org/W2575485451","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903"],"abstract_inverted_index":{"In":[0],"the":[1,13,43,65,109,156,166],"era":[2],"of":[3,29,45,111,158,168],"ubiquitous":[4,37,139],"computing,":[5,140],"efficient":[6,148],"resource":[7,33,122,135],"allocation":[8,34],"is":[9],"critical":[10],"to":[11,63,117,164],"managing":[12],"diverse":[14],"and":[15,31,54,77,98,120,144,149,161],"dynamic":[16],"environments":[17],"created":[18],"by":[19],"interconnected":[20],"devices.":[21],"This":[22,128],"paper":[23],"presents":[24],"a":[25,58,88],"comprehensive":[26],"comparative":[27],"analysis":[28],"greedy":[30,93],"auction-based":[32,84,112],"algorithms":[35,47,66,94],"within":[36],"computing":[38],"systems.":[39],"The":[40,106],"study":[41],"examines":[42],"performance":[44,70],"these":[46,169],"under":[48],"three":[49],"implementation":[50],"approaches:":[51],"centralized,":[52],"decentralized,":[53],"hierarchical.":[55],"We":[56],"use":[57,123],"process-based":[59],"discrete-event":[60],"simulation":[61],"model":[62],"evaluate":[64],"based":[67],"on":[68],"key":[69],"metrics,":[71],"including":[72],"throughput,":[73],"average":[74],"response":[75,104],"time,":[76],"energy":[78,99,162],"utilization.":[79],"Our":[80],"results":[81],"demonstrate":[82],"that":[83],"algorithms,":[85],"particularly":[86],"in":[87,95,114,124,171],"hierarchical":[89],"implementation,":[90],"consistently":[91],"outperform":[92],"both":[96],"throughput":[97],"efficiency":[100],"while":[101],"maintaining":[102],"competitive":[103],"times.":[105],"findings":[107,170],"highlight":[108],"advantages":[110],"strategies":[113,137],"dynamically":[115],"adapting":[116],"changing":[118],"conditions":[119],"optimizing":[121],"complex,":[125],"decentralized":[126],"environments.":[127],"research":[129],"contributes":[130],"valuable":[131],"insights":[132],"into":[133],"optimal":[134],"management":[136],"for":[138],"guiding":[141],"system":[142],"designers":[143],"researchers":[145],"toward":[146],"more":[147],"scalable":[150],"solutions.":[151],"Future":[152],"work":[153],"should":[154],"address":[155],"limitations":[157],"simplified":[159],"network":[160],"models":[163],"enhance":[165],"applicability":[167],"real-world":[172],"scenarios.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}