{"id":"https://openalex.org/W4399282675","doi":"https://doi.org/10.1109/access.2024.3408672","title":"SM-FPLF: Link-State Prediction for Software-Defined DCN Power Optimization","display_name":"SM-FPLF: Link-State Prediction for Software-Defined DCN Power Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399282675","doi":"https://doi.org/10.1109/access.2024.3408672"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3408672","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3408672","pdf_url":null,"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":null,"license_id":null,"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://doi.org/10.1109/access.2024.3408672","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110792622","display_name":"Mohammed Nsaif","orcid":null},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]},{"id":"https://openalex.org/I47229656","display_name":"University of Kufa","ror":"https://ror.org/02dwrdh81","country_code":"IQ","type":"education","lineage":["https://openalex.org/I47229656"]}],"countries":["HU","IQ"],"is_corresponding":false,"raw_author_name":"Mohammed Nsaif","raw_affiliation_strings":["Department of Information Technology, Faculty of Informatics, University of Debrecen, Debrecen, Hungary","University of Kufa, Iraq"],"raw_orcid":"https://orcid.org/0000-0001-6768-4644","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]},{"raw_affiliation_string":"University of Kufa, Iraq","institution_ids":["https://openalex.org/I47229656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013509309","display_name":"Gergely Kov\u00e1sznai","orcid":"https://orcid.org/0000-0001-8455-0218"},"institutions":[{"id":"https://openalex.org/I31882830","display_name":"P\u00e1zm\u00e1ny P\u00e9ter Catholic University","ror":"https://ror.org/05v9kya57","country_code":"HU","type":"education","lineage":["https://openalex.org/I31882830"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Gergely Kov\u00e1sznai","raw_affiliation_strings":["Department of Computational Science, Eszterházy Károly Catholic University, Eger, Hungary"],"raw_orcid":"https://orcid.org/0000-0001-8455-0218","affiliations":[{"raw_affiliation_string":"Department of Computational Science, Eszterházy Károly Catholic University, Eger, Hungary","institution_ids":["https://openalex.org/I31882830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005680070","display_name":"Ali Malik","orcid":"https://orcid.org/0000-0002-2866-0743"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ali Malik","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Technological University Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-2866-0743","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022040369","display_name":"Ruair\u00ed de Fr\u00e9in","orcid":"https://orcid.org/0000-0002-3912-1470"},"institutions":[{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ruair\u00ed de Fr\u00e9in","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Technological University Dublin, Dublin, Ireland"],"raw_orcid":"https://orcid.org/0000-0002-3912-1470","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9139,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73655804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"12","issue":null,"first_page":"79496","last_page":"79518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.9957000017166138,"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":0.6866848468780518},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5330720543861389},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.4858633875846863},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45782527327537537},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2797960042953491},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27359795570373535},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16226047277450562}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866848468780518},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5330720543861389},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.4858633875846863},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45782527327537537},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2797960042953491},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27359795570373535},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16226047277450562}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2024.3408672","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3408672","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arrow.tudublin.ie:engscheleart2-1414","is_oa":true,"landing_page_url":"https://arrow.tudublin.ie/engscheleart2/379","pdf_url":null,"source":{"id":"https://openalex.org/S4377196307","display_name":"Arrow - TU Dublin (Technological University Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210144925","host_organization_name":"Technological University Dublin","host_organization_lineage":["https://openalex.org/I4210144925"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Articles","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:683e9cbc568d4a41983cef83e9374b06","is_oa":true,"landing_page_url":"https://doaj.org/article/683e9cbc568d4a41983cef83e9374b06","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 79496-79518 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3408672","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3408672","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G264021278","display_name":"CONNECT_Phase 2","funder_award_id":"13/RC/2077_P2","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G2821969174","display_name":"Efficient monitoring of large scale datacenters (EOLAS)","funder_award_id":"15/SIRG/3459","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1500536750","https://openalex.org/W1689711448","https://openalex.org/W1947481528","https://openalex.org/W1966759454","https://openalex.org/W1990738428","https://openalex.org/W1992955696","https://openalex.org/W2020551945","https://openalex.org/W2040340473","https://openalex.org/W2085619266","https://openalex.org/W2092170242","https://openalex.org/W2098657866","https://openalex.org/W2099961254","https://openalex.org/W2106951600","https://openalex.org/W2117111202","https://openalex.org/W2131774270","https://openalex.org/W2132022337","https://openalex.org/W2136451165","https://openalex.org/W2147118406","https://openalex.org/W2157331557","https://openalex.org/W2169528473","https://openalex.org/W2179445980","https://openalex.org/W2268617045","https://openalex.org/W2292867437","https://openalex.org/W2613694343","https://openalex.org/W2752434679","https://openalex.org/W2793291865","https://openalex.org/W2915905517","https://openalex.org/W2942872827","https://openalex.org/W2963432161","https://openalex.org/W2998410342","https://openalex.org/W3003635954","https://openalex.org/W3022469693","https://openalex.org/W3024450730","https://openalex.org/W3029952606","https://openalex.org/W3035500990","https://openalex.org/W3041133507","https://openalex.org/W3180652265","https://openalex.org/W3188971569","https://openalex.org/W3214575801","https://openalex.org/W4200337241","https://openalex.org/W4231461540","https://openalex.org/W4232257347","https://openalex.org/W4236518304","https://openalex.org/W4245919535","https://openalex.org/W4308495105","https://openalex.org/W4312441325","https://openalex.org/W4386454250","https://openalex.org/W4387010489","https://openalex.org/W4388480565","https://openalex.org/W6606063390","https://openalex.org/W6762427346","https://openalex.org/W6777881713","https://openalex.org/W6827777345"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1518185400","https://openalex.org/W3200586296","https://openalex.org/W2390279801","https://openalex.org/W4230332972","https://openalex.org/W2358668433","https://openalex.org/W1998033311","https://openalex.org/W4247322236","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Efficient":[0],"monitoring":[1,55,84,99],"systems":[2],"that":[3,57,210],"optimize":[4],"resource":[5],"allocation,":[6],"reduce":[7],"energy":[8,44],"usage":[9,274],"through":[10],"machine":[11,101],"learning":[12,102,148],"and":[13,86,100,134,161,173,182,278,289,309,319],"flow":[14,90],"aggregation":[15,91],"routing":[16,92],"techniques,":[17],"are":[18],"needed":[19],"due":[20,269],"to":[21,39,129,142,157,177,270],"the":[22,119,123,131,144,159,171,185,189,193,201,211,234,251,287],"escalating":[23],"power":[24,59,195,256,320],"consumption":[25,60,196,321],"of":[26,42,67,121,125,147,153,218,238,258,291,298,311],"data":[27],"center":[28],"networks,":[29],"which,":[30],"as":[31,296],"has":[32],"been":[33],"recently":[34],"reported,":[35],"account":[36],"for":[37,78,138,150,163,293],"up":[38],"eight":[40],"percent":[41],"global":[43],"consumption,":[45],"posing":[46],"environmental":[47],"operational":[48],"concerns.":[49],"We":[50],"propose":[51],"a":[52,64,68,89,109,151,167,239,244,248,255,271,283],"software-defined":[53],"data-center":[54],"algorithm":[56,93,111,253],"reduces":[58],"by":[61],"(1)":[62,132],"using":[63,184,312],"GPU":[65],"implementation":[66,295],"Stacked":[69],"Long":[70],"Short-Term":[71],"Memory":[72],"Recurrent":[73],"Neural":[74],"Network":[75],"(RNN)":[76],"model":[77],"link":[79,219,313],"utilization":[80,220,314],"prediction,":[81],"thus":[82],"reducing":[83],"overhead,":[85],"(2)":[87,141],"utilizing":[88],"with":[94,166,181],"feedback":[95],"from":[96],"online,":[97],"OpenFlow-powered":[98],"modules.":[103],"This":[104,228],"combined":[105],"approach":[106],"results":[107],"in":[108,200,216,243,250,267,276,316],"new":[110],"called":[112],"SMart-Fill":[113],"Prefer":[114],"Path":[115],"First":[116],"(SM-FPLF).":[117],"In":[118],"context":[120],"SM-FPLF,":[122],"objective":[124],"this":[126],"paper":[127],"is":[128,205,230,265],"compare":[130],"training":[133],"validation":[135],"loss":[136],"curves":[137],"various":[139],"models,":[140,165,175],"evaluate":[143],"prediction":[145,154,187,221,315],"accuracy":[146,162,222,229],"approaches":[149],"range":[152],"horizons,":[155],"(3)":[156],"assess":[158],"time-cost":[160],"different":[164],"specific":[168],"focus":[169],"on":[170,305],"GuSLSTM":[172,190,212,249],"GuGRU":[174],"(4)":[176],"analyze":[178],"OpenFlow":[179,198,262],"traffic":[180],"without":[183],"preferred":[186],"algorithm,":[188],"model,":[191],"assessing":[192],"accumulated":[194],"per":[197,261],"channel":[199],"data-centre":[202],"when":[203],"SM-FPLF":[204,252],"applied.":[206],"Our":[207],"findings":[208,281],"indicate":[209],"outperforms":[213],"rival":[214],"algorithms":[215],"terms":[217],"over":[223],"varying":[224],"input":[225],"sequence":[226],"lengths.":[227],"achieved":[231,266],"whilst":[232],"satisfying":[233],"SDN":[235,299,317],"domain-specific":[236],"requirement":[237],"small":[240],"computation":[241],"time":[242],"real-time":[245,294],"implementation.":[246],"Embedding":[247],"offers":[254],"saving":[257],"372":[259],"watts":[260],"channel,":[263],"which":[264],"part":[268,297],"13.7%":[272],"CPU":[273],"reduction":[275],"controllers":[277],"switches.":[279],"These":[280],"provide":[282],"valuable":[284],"perspective":[285],"into":[286],"performance":[288],"suitability":[290],"RNNs":[292],"solutions.":[300,323],"They":[301],"also":[302],"shed":[303],"light":[304],"their":[306],"practical":[307],"implications":[308],"benefits":[310],"management":[318],"optimization":[322]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}