{"id":"https://openalex.org/W6922071743","doi":"https://doi.org/10.1145/3735358.3737772","title":"GRU-based Seq2Seq for Controller Load Prediction in Software-Defined Networks","display_name":"GRU-based Seq2Seq for Controller Load Prediction in Software-Defined Networks","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W6922071743","doi":"https://doi.org/10.1145/3735358.3737772"},"language":"en","primary_location":{"id":"doi:10.1145/3735358.3737772","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735358.3737772","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735358.3737772?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Asia-Pacific Workshop on Networking","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3735358.3737772?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuanhang Ge","orcid":"https://orcid.org/0009-0006-2402-7410"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanhang Ge","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quanze Liu","orcid":"https://orcid.org/0009-0000-4477-281X"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quanze Liu","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-7615-5103"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qian Meng","orcid":"https://orcid.org/0000-0002-1840-5546"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Meng","raw_affiliation_strings":["Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53399932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13370","display_name":"Diverse Scientific and Economic Studies","score":0.12860000133514404,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13370","display_name":"Diverse Scientific and Economic Studies","score":0.12860000133514404,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11662","display_name":"Legal Cases and Commentary","score":0.023399999365210533,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49410000443458557},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4862000048160553},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.32339999079704285},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.32170000672340393},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31189998984336853},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3041999936103821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.531000018119812},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49410000443458557},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.31869998574256897},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29420000314712524},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2662999927997589},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3735358.3737772","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735358.3737772","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735358.3737772?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Asia-Pacific Workshop on Networking","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3735358.3737772","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3735358.3737772","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3735358.3737772?download=true","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th Asia-Pacific Workshop on Networking","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3125509833","display_name":null,"funder_award_id":"4115C50221204137","funder_id":"https://openalex.org/F4320324716","funder_display_name":"Hangzhou Normal University"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3855154144","display_name":null,"funder_award_id":"LQ22F010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3925137356","display_name":null,"funder_award_id":"4085C50220204093","funder_id":"https://openalex.org/F4320324716","funder_display_name":"Hangzhou Normal University"},{"id":"https://openalex.org/G4582315845","display_name":null,"funder_award_id":"62402154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8142858499","display_name":null,"funder_award_id":"62302136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324716","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6922071743.pdf","grobid_xml":"https://content.openalex.org/works/W6922071743.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W2040340473","https://openalex.org/W2969308181","https://openalex.org/W3188971569"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,47],"Sequence":[4,6],"to":[5,57,74],"(Seq2Seq)":[7],"model":[8,73],"based":[9],"on":[10],"Gated":[11],"Recurrent":[12],"Units":[13],"(GRU)":[14],"for":[15],"predicting":[16],"controller":[17],"load":[18],"in":[19,34,78,104],"software-defined":[20],"networks,":[21],"which":[22,50],"employs":[23],"an":[24,98],"encoder-decoder":[25],"architecture":[26],"and":[27,38,68],"improves":[28],"multi-step":[29],"prediction":[30,60,111],"by":[31,54],"using":[32],"GRU":[33,65],"both":[35],"the":[36,43,55,59,72,79,81,86,89,94],"encoding":[37],"decoding":[39],"layers.The":[40],"encoder":[41],"encodes":[42],"historical":[44],"sequence":[45],"into":[46],"fixed-length":[48],"vector,":[49],"is":[51],"then":[52],"used":[53],"decoder":[56],"generate":[58],"sequence.By":[61],"employing":[62],"gate":[63],"mechanisms,":[64],"selectively":[66],"updates":[67],"forgets":[69],"information,":[70],"enabling":[71],"capture":[75],"long-term":[76],"dependencies":[77],"sequence.In":[80],"performance":[82],"test,":[83],"we":[84],"evaluated":[85],"effectiveness":[87],"of":[88,101],"GRU-based":[90],"Seq2Seq":[91],"model.It":[92],"outperformed":[93],"baseline":[95],"models":[96],"with":[97],"average":[99],"reduction":[100],"around":[102],"20%":[103],"root":[105],"mean":[106],"square":[107],"error,":[108],"demonstrating":[109],"superior":[110],"performance.":[112]},"counts_by_year":[],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
