{"id":"https://openalex.org/W4386132169","doi":"https://doi.org/10.1109/access.2023.3308492","title":"Unsupervised Deep Learning for Distributed Service Function Chain Embedding","display_name":"Unsupervised Deep Learning for Distributed Service Function Chain Embedding","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386132169","doi":"https://doi.org/10.1109/access.2023.3308492"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3308492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3308492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10229131.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10229131.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044542266","display_name":"Panteleimon Rodis","orcid":"https://orcid.org/0000-0001-9169-8202"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panteleimon Rodis","raw_affiliation_strings":["Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057744054","display_name":"Panagiotis Papadimitriou","orcid":"https://orcid.org/0000-0001-5005-8866"},"institutions":[{"id":"https://openalex.org/I192756129","display_name":"University of Macedonia","ror":"https://ror.org/05fg6gr82","country_code":"GR","type":"education","lineage":["https://openalex.org/I192756129"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Papadimitriou","raw_affiliation_strings":["Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Applied Informatics, University of Macedonia, Thessaloniki, Greece","institution_ids":["https://openalex.org/I192756129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044542266"],"corresponding_institution_ids":["https://openalex.org/I192756129"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0087,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7741199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"91660","last_page":"91672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998000264167786,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9883000254631042,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9878000020980835,"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":0.8082508444786072},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.6193345785140991},{"id":"https://openalex.org/keywords/network-virtualization","display_name":"Network virtualization","score":0.5763631463050842},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5533824563026428},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5233327746391296},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.47399628162384033},{"id":"https://openalex.org/keywords/virtual-network","display_name":"Virtual network","score":0.46892696619033813},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.43796342611312866},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40288206934928894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39327648282051086},{"id":"https://openalex.org/keywords/virtualization","display_name":"Virtualization","score":0.3150798976421356},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.168844074010849},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09641310572624207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8082508444786072},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.6193345785140991},{"id":"https://openalex.org/C2779898492","wikidata":"https://www.wikidata.org/wiki/Q4112081","display_name":"Network virtualization","level":4,"score":0.5763631463050842},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5533824563026428},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5233327746391296},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.47399628162384033},{"id":"https://openalex.org/C2776874963","wikidata":"https://www.wikidata.org/wiki/Q4112081","display_name":"Virtual network","level":2,"score":0.46892696619033813},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.43796342611312866},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40288206934928894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39327648282051086},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.3150798976421356},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.168844074010849},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09641310572624207},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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":3,"locations":[{"id":"doi:10.1109/access.2023.3308492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3308492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10229131.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8c972d5f65ab4392a8a6ecbc9057ea66","is_oa":true,"landing_page_url":"https://doaj.org/article/8c972d5f65ab4392a8a6ecbc9057ea66","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 91660-91672 (2023)","raw_type":"article"},{"id":"pmh:oai:zenodo.org:10362226","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ACCESS.2023.3308492","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3308492","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3308492","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10229131.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318628","display_name":"Hellenic Academic Libraries Link","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386132169.pdf","grobid_xml":"https://content.openalex.org/works/W4386132169.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1581066146","https://openalex.org/W1836632961","https://openalex.org/W1973675427","https://openalex.org/W1980480036","https://openalex.org/W2011214980","https://openalex.org/W2035601288","https://openalex.org/W2052806256","https://openalex.org/W2090194999","https://openalex.org/W2091332674","https://openalex.org/W2108604074","https://openalex.org/W2118902385","https://openalex.org/W2122054842","https://openalex.org/W2130372754","https://openalex.org/W2155250574","https://openalex.org/W2170616854","https://openalex.org/W2403593353","https://openalex.org/W2472974503","https://openalex.org/W2573563983","https://openalex.org/W2787513570","https://openalex.org/W2908048701","https://openalex.org/W2912731102","https://openalex.org/W2926804451","https://openalex.org/W2941806611","https://openalex.org/W2979786244","https://openalex.org/W2980466635","https://openalex.org/W3012125688","https://openalex.org/W3105386335","https://openalex.org/W3119360890","https://openalex.org/W3119386769","https://openalex.org/W3172947246","https://openalex.org/W3175884222","https://openalex.org/W3176630230","https://openalex.org/W3217809388","https://openalex.org/W4200588558","https://openalex.org/W4210776487","https://openalex.org/W4283067488","https://openalex.org/W4283651311","https://openalex.org/W4285303806","https://openalex.org/W4311926144","https://openalex.org/W4312695224","https://openalex.org/W4366966859","https://openalex.org/W6634833660","https://openalex.org/W6638899659","https://openalex.org/W6748319235","https://openalex.org/W6784987805"],"related_works":["https://openalex.org/W2461440407","https://openalex.org/W2317094215","https://openalex.org/W2128291817","https://openalex.org/W2606336747","https://openalex.org/W2947277503","https://openalex.org/W112648010","https://openalex.org/W2038957884","https://openalex.org/W206565998","https://openalex.org/W2766546449","https://openalex.org/W2122873612"],"abstract_inverted_index":{"Network":[0,13],"Function":[1,95],"Virtualization":[2],"(NFV)":[3],"has":[4],"paved":[5],"the":[6,9,20,23,30,38,43,91,107,111,121,124,128,145,152,191],"way":[7],"for":[8,22,34,45,120,130,151],"migration":[10],"of":[11,25,93,110,123,141,147,154,183,193,197],"Virtual":[12],"Functions":[14],"(VNFs)":[15],"into":[16,29],"multi-tenant":[17],"datacenters,":[18],"lowering":[19],"barrier":[21],"introduction":[24],"new":[26],"processing":[27],"functionality":[28],"network.":[31],"Recent":[32],"trends":[33],"resource":[35,60,84,184],"orchestration":[36,85],"across":[37,135],"entire":[39],"compute":[40],"continuum":[41],"raise":[42],"need":[44],"decision":[46],"making":[47],"at":[48],"low":[49],"timescales,":[50],"a":[51,77,82,117,167,171],"requirement":[52],"which":[53],"can":[54],"be":[55],"hardly":[56],"met":[57],"by":[58],"centralized":[59],"optimizers":[61],"that":[62],"rely":[63],"either":[64],"on":[65],"Linear":[66],"Programming":[67],"or":[68],"Machine":[69],"Learning":[70],"(ML).":[71],"In":[72,103],"this":[73],"respect,":[74],"we":[75,115],"present":[76],"distributed":[78,160,172],"approach":[79,143],"tailored":[80],"to":[81,105],"crucial":[83],"aspect,":[86],"<italic":[87],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e</i>":[89],".,":[90],"embedding":[92,113,162],"Service":[94],"Chains":[96],"(SFCs)":[97],"onto":[98],"large-scale":[99],"virtualized":[100],"network":[101],"infrastructures.":[102],"order":[104,192],"confront":[106],"computational":[108],"hardness":[109],"SFC":[112,161],"problem,":[114],"utilize":[116],"clustering":[118],"method":[119],"partitioning":[122],"solution":[125],"space,":[126],"empowering":[127],"search":[129],"efficient":[131],"solutions":[132],"in":[133,181,190],"parallel":[134],"all":[136],"clusters.":[137],"Another":[138],"salient":[139],"feature":[140],"our":[142],"is":[144,164],"use":[146],"unsupervised":[148],"deep":[149],"learning":[150],"computation":[153],"embeddings":[155],"within":[156],"each":[157],"cluster.":[158],"Our":[159,175],"framework":[163],"benchmarked":[165],"against":[166],"state-of-the-art":[168],"heuristic":[169],"and":[170],"greedy":[173],"algorithm.":[174],"evaluation":[176],"results":[177],"uncover":[178],"notable":[179],"gains":[180],"terms":[182],"efficiency,":[185],"combined":[186],"with":[187,195],"solver":[188],"runtimes":[189],"milliseconds":[194],"thousands":[196],"substrate":[198],"nodes.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}