{"id":"https://openalex.org/W4322577700","doi":"https://doi.org/10.1109/cscn57023.2022.10051070","title":"Optimization of Execution for Machine Learning Applications in the Computing Continuum","display_name":"Optimization of Execution for Machine Learning Applications in the Computing Continuum","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4322577700","doi":"https://doi.org/10.1109/cscn57023.2022.10051070"},"language":"en","primary_location":{"id":"doi:10.1109/cscn57023.2022.10051070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn57023.2022.10051070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Standards for Communications and Networking (CSCN)","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/A5066748423","display_name":"Ilias Syrigos","orcid":"https://orcid.org/0000-0002-4392-6036"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ilias Syrigos","raw_affiliation_strings":["University Of Thessaly,Volos,Greece","University Of Thessaly, Volos, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Thessaly,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"University Of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075660011","display_name":"Nikolaos Angelopoulos","orcid":"https://orcid.org/0009-0009-3571-1842"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Angelopoulos","raw_affiliation_strings":["University Of Thessaly,Volos,Greece","University Of Thessaly, Volos, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Thessaly,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"University Of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003948566","display_name":"Thanasis Korakis","orcid":null},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Thanasis Korakis","raw_affiliation_strings":["University Of Thessaly,Volos,Greece","University Of Thessaly, Volos, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Of Thessaly,Volos,Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"University Of Thessaly, Volos, Greece","institution_ids":["https://openalex.org/I145722265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145722265"],"apc_list":null,"apc_paid":null,"fwci":1.8872,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86991331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9994000196456909,"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":0.9994000196456909,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9983000159263611,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8489007949829102},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7591711282730103},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7176030278205872},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6597040891647339},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5719171762466431},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5457543134689331},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.4813745319843292},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4222114682197571},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4140753746032715},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3923391103744507},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3207186758518219},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1807120144367218},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1723971664905548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8489007949829102},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7591711282730103},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7176030278205872},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6597040891647339},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5719171762466431},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5457543134689331},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.4813745319843292},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4222114682197571},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4140753746032715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3923391103744507},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3207186758518219},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1807120144367218},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1723971664905548},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscn57023.2022.10051070","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscn57023.2022.10051070","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Conference on Standards for Communications and Networking (CSCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5299999713897705,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1916110954","https://openalex.org/W2279098554","https://openalex.org/W2791964734","https://openalex.org/W2919753410","https://openalex.org/W2931168649","https://openalex.org/W2962992803","https://openalex.org/W2996865961","https://openalex.org/W2998854541","https://openalex.org/W3026174634","https://openalex.org/W3091880889","https://openalex.org/W3178436058","https://openalex.org/W4289535786","https://openalex.org/W6695314431","https://openalex.org/W6730956707"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W3048672182","https://openalex.org/W1509300825","https://openalex.org/W3092582874","https://openalex.org/W2065450024"],"abstract_inverted_index":{"Today,":[0],"adoption":[1],"of":[2,16,22,29,40,45,97,111,151,156],"Machine":[3],"Learning":[4],"(ML)":[5],"techniques":[6],"is":[7,10,86,120,163,199],"widespread":[8],"and":[9,25,42,58,70,82,94,103,127,154,184,192],"encountered":[11],"in":[12,51,116,206,215],"almost":[13],"every":[14],"aspect":[15],"our":[17],"everyday":[18],"lives.":[19],"The":[20,195],"plethora":[21],"IoT":[23,83],"devices":[24],"the":[26,38,43,64,76,92,109,152,181,221],"enormous":[27],"amounts":[28],"data":[30,53,104,190],"that":[31,49,88,119],"are":[32,73,106],"being":[33],"generated":[34],"has":[35],"led":[36],"to":[37,80,137,148,166],"evolution":[39],"existing":[41],"development":[44,153],"new":[46],"learning":[47],"algorithms":[48],"aim":[50],"leveraging":[52],"for":[54,177,185],"driving":[55],"accurate":[56],"inference":[57],"automated":[59],"decision-making.":[60],"In":[61],"parallel,":[62],"with":[63,108,201,219],"computing":[65,178],"continuum":[66],"paradigm,":[67],"where":[68],"heterogeneous":[69],"distributed":[71],"resources":[72],"stretching":[74],"all":[75],"way":[77],"from":[78],"Cloud":[79],"Edge":[81],"devices,":[84],"it":[85],"imperative":[87],"ML":[89,100,140,158,223],"applications":[90,115],"reap":[91],"performance":[93],"efficiency":[95],"benefits":[96,214],"heterogeneity.":[98],"However,":[99],"application":[101],"developers":[102,136],"scientists":[105],"faced":[107],"burden":[110],"manually":[112],"deploying":[113],"their":[114,174],"a":[117,202,207],"manner":[118],"frequently":[121],"sub-optimal.In":[122],"this":[123],"paper,":[124],"we":[125],"design":[126],"implement":[128],"an":[129,139,157],"integrated":[130],"MLOps":[131,197],"framework":[132,198],"that,":[133],"initially,":[134],"enables":[135],"decompose":[138],"workflow":[141],"into":[142],"its":[143],"functional":[144],"steps,":[145],"which":[146],"correspond":[147],"distinct":[149],"stages":[150],"execution":[155],"model.":[159],"Our":[160],"developed":[161],"scheduler":[162],"therefore":[164],"able":[165],"efficiently":[167],"schedule":[168],"these":[169],"individual":[170],"components":[171],"by":[172],"considering":[173],"specific":[175],"requirements":[176],"capacity":[179],"during":[180,189],"training":[182],"stage,":[183],"low":[186],"network":[187],"latency":[188],"ingestion":[191],"model":[193],"serving.":[194],"proposed":[196],"evaluated":[200],"proof-of-concept":[203],"experimentation":[204],"conducted":[205],"realistic":[208],"testbed":[209],"environment.":[210],"Results":[211],"show":[212],"significant":[213],"performance,":[216],"when":[217],"compared":[218],"scheduling":[220],"whole":[222],"workflow.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}