{"id":"https://openalex.org/W7117581454","doi":"https://doi.org/10.1109/iisa66859.2025.11311318","title":"Performance and Energy Benchmarking of Edge Ml Workloads","display_name":"Performance and Energy Benchmarking of Edge Ml Workloads","publication_year":2025,"publication_date":"2025-07-10","ids":{"openalex":"https://openalex.org/W7117581454","doi":"https://doi.org/10.1109/iisa66859.2025.11311318"},"language":null,"primary_location":{"id":"doi:10.1109/iisa66859.2025.11311318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa66859.2025.11311318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5019818516","display_name":"Alexandru Rancea","orcid":"https://orcid.org/0000-0001-9305-4857"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Alexandru Rancea","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019681375","display_name":"Ionu\u021b Anghel","orcid":"https://orcid.org/0000-0001-6166-5266"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Ionut Anghel","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065947536","display_name":"Tudor Cioara","orcid":"https://orcid.org/0000-0003-1177-5795"},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Tudor Cioara","raw_affiliation_strings":["Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca,Computer Science Department,Cluj-Napoca,Romania","institution_ids":["https://openalex.org/I158333966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158333966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.25119999051094055,"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"}},"topics":[{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.25119999051094055,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.1753000020980835,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.1459999978542328,"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/benchmarking","display_name":"Benchmarking","score":0.9120000004768372},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7143999934196472},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5702999830245972},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5382999777793884},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5221999883651733},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5145000219345093},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5024999976158142},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48969998955726624}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.9120000004768372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7527999877929688},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7143999934196472},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5702999830245972},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5221999883651733},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5145000219345093},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5024999976158142},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48969998955726624},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4771000146865845},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.42399999499320984},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3991999924182892},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.29409998655319214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29109999537467957},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2870999872684479},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.28349998593330383},{"id":"https://openalex.org/C2777115002","wikidata":"https://www.wikidata.org/wiki/Q7168246","display_name":"Performance prediction","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C141571065","wikidata":"https://www.wikidata.org/wiki/Q1771949","display_name":"Performance measurement","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.272599995136261}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iisa66859.2025.11311318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iisa66859.2025.11311318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 16th International Conference on Information, Intelligence, Systems & Applications (IISA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9003027677536011,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2109606373","https://openalex.org/W2963918968","https://openalex.org/W2982083293","https://openalex.org/W2982479999","https://openalex.org/W2984618279","https://openalex.org/W2998506323","https://openalex.org/W3043571714","https://openalex.org/W4388447646","https://openalex.org/W4399496737","https://openalex.org/W4401480923","https://openalex.org/W4401723357","https://openalex.org/W4402395877","https://openalex.org/W4404454190","https://openalex.org/W4409131823","https://openalex.org/W4409154062","https://openalex.org/W4409269790","https://openalex.org/W4409392688","https://openalex.org/W4412433586"],"related_works":[],"abstract_inverted_index":{"The":[0,64],"rapid":[1],"expansion":[2],"of":[3,26,29,45,131,135,153],"edge":[4,30,46,62,74,161],"computing":[5,162],"for":[6,150],"machine":[7],"learning":[8],"(ML)":[9],"applications":[10],"has":[11],"generated":[12],"considerable":[13],"research":[14],"into":[15,114],"specialized":[16],"benchmarking":[17,54],"frameworks,":[18],"model":[19],"optimization":[20,152],"methods,":[21],"and":[22,43,87,99,111,140],"performance":[23,41,100,110,130],"evaluation":[24],"composed":[25],"various":[27],"types":[28],"hardware.":[31],"However":[32],"current":[33],"solutions":[34],"lack":[35],"considering":[36],"energy":[37,112,147],"evaluations":[38],"along":[39],"with":[40],"metrics,":[42],"heterogeneity":[44],"devices.":[47,63],"This":[48],"paper":[49],"proposes":[50],"a":[51,132],"modular":[52],"ML":[53,79,108,138,154],"tool":[55,65],"that":[56,102,120],"can":[57,66,103,123,141],"be":[58,67,104,124],"deployed":[59],"across":[60],"heterogeneous":[61],"used":[68,105,126],"to":[69,106,127],"create":[70],"automated":[71],"comparisons":[72],"between":[73],"devices":[75],"behavior,":[76],"by":[77],"deploying":[78],"models":[80,109,155],"such":[81],"as":[82],"regression,":[83],"Gated":[84],"Recurrent":[85],"Unit":[86],"Long":[88],"Short-Term":[89],"Memory.":[90],"Moreover,":[91],"it":[92],"integrates":[93],"scoring":[94],"system":[95],"based":[96],"on":[97],"power":[98],"metrics":[101],"evaluate":[107],"usage":[113],"different":[115],"scenarios.":[116],"Evaluation":[117],"results":[118],"show":[119],"our":[121],"solution":[122],"successfully":[125],"measure":[128],"the":[129],"wide":[133],"range":[134],"systems":[136],"under":[137],"tasks":[139],"also":[142],"offer":[143],"detailed":[144],"information":[145],"about":[146],"consumption":[148],"allowing":[149],"further":[151],"before":[156],"their":[157],"actual":[158],"deployment":[159],"in":[160],"environments.":[163]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-12-30T00:00:00"}