{"id":"https://openalex.org/W3034965108","doi":"https://doi.org/10.1109/noms47738.2020.9110259","title":"Scalable Traffic Engineering for Higher Throughput in Heavily-loaded Software Defined Networks","display_name":"Scalable Traffic Engineering for Higher Throughput in Heavily-loaded Software Defined Networks","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3034965108","doi":"https://doi.org/10.1109/noms47738.2020.9110259","mag":"3034965108"},"language":"en","primary_location":{"id":"doi:10.1109/noms47738.2020.9110259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms47738.2020.9110259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium","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/A5085618478","display_name":"Zhang Che","orcid":null},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Che Zhang","raw_affiliation_strings":["SUSTech / Peng Cheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUSTech / Peng Cheng Laboratory","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449695","display_name":"Shiwei Zhang","orcid":"https://orcid.org/0000-0002-0357-7185"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiwei Zhang","raw_affiliation_strings":["HKU","HKU;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKU","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"HKU;","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101682898","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0003-3833-4287"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["SUSTech / Peng Cheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUSTech / Peng Cheng Laboratory","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100637379","display_name":"Weichao Li","orcid":"https://orcid.org/0000-0001-9992-9300"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Li","raw_affiliation_strings":["SUSTech / Peng Cheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUSTech / Peng Cheng Laboratory","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010132313","display_name":"Bo Jin","orcid":"https://orcid.org/0000-0001-7711-0548"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jin","raw_affiliation_strings":["SUSTech / Peng Cheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUSTech / Peng Cheng Laboratory","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084986707","display_name":"Ricky K. P. Mok","orcid":"https://orcid.org/0000-0003-3300-9514"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ricky K. P Mok","raw_affiliation_strings":["CADIA, UCSD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CADIA, UCSD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734609","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6071-473X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["SUSTech / Peng Cheng Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SUSTech / Peng Cheng Laboratory","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022420830","display_name":"Hong Xu","orcid":"https://orcid.org/0000-0002-9359-9571"},"institutions":[{"id":"https://openalex.org/I45029084","display_name":"City University of Seattle","ror":"https://ror.org/008a9hf75","country_code":"US","type":"education","lineage":["https://openalex.org/I4210086682","https://openalex.org/I45029084"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hong Xu","raw_affiliation_strings":["CityU"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CityU","institution_ids":["https://openalex.org/I45029084"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":1.0,"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":1.0,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9926999807357788,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7555924654006958},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6989123821258545},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6951010227203369},{"id":"https://openalex.org/keywords/software-defined-networking","display_name":"Software-defined networking","score":0.6053152084350586},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5857906341552734},{"id":"https://openalex.org/keywords/traffic-engineering","display_name":"Traffic engineering","score":0.5604020953178406},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.49550044536590576},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4679488241672516},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.45257773995399475},{"id":"https://openalex.org/keywords/maximum-flow-problem","display_name":"Maximum flow problem","score":0.4137239456176758},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40955469012260437},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12714415788650513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1047227680683136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555924654006958},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6989123821258545},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6951010227203369},{"id":"https://openalex.org/C77270119","wikidata":"https://www.wikidata.org/wiki/Q1655198","display_name":"Software-defined networking","level":2,"score":0.6053152084350586},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5857906341552734},{"id":"https://openalex.org/C16160715","wikidata":"https://www.wikidata.org/wiki/Q1640676","display_name":"Traffic engineering","level":2,"score":0.5604020953178406},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.49550044536590576},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4679488241672516},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.45257773995399475},{"id":"https://openalex.org/C157469704","wikidata":"https://www.wikidata.org/wiki/Q2585642","display_name":"Maximum flow problem","level":2,"score":0.4137239456176758},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40955469012260437},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12714415788650513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1047227680683136},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms47738.2020.9110259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms47738.2020.9110259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1977545325","https://openalex.org/W2008292658","https://openalex.org/W2009266039","https://openalex.org/W2038861084","https://openalex.org/W2077342791","https://openalex.org/W2102090846","https://openalex.org/W2103985627","https://openalex.org/W2107997203","https://openalex.org/W2118404561","https://openalex.org/W2126822952","https://openalex.org/W2136558412","https://openalex.org/W2145858411","https://openalex.org/W2155061423","https://openalex.org/W2170644767","https://openalex.org/W2285879236","https://openalex.org/W2743636887","https://openalex.org/W2744660401","https://openalex.org/W2783440728","https://openalex.org/W2793045151","https://openalex.org/W2799020319","https://openalex.org/W2819252821","https://openalex.org/W2876796450","https://openalex.org/W2887715205","https://openalex.org/W2955233423","https://openalex.org/W4206420448","https://openalex.org/W4247885026","https://openalex.org/W6696195051","https://openalex.org/W6750790946","https://openalex.org/W6753859785"],"related_works":["https://openalex.org/W3046364132","https://openalex.org/W4206574042","https://openalex.org/W2774756485","https://openalex.org/W3044668617","https://openalex.org/W2754426613","https://openalex.org/W2994927948","https://openalex.org/W2471400229","https://openalex.org/W2783945604","https://openalex.org/W3189904955","https://openalex.org/W2734218425"],"abstract_inverted_index":{"Existing":[0],"traffic":[1,20,130,146,164,175,199],"engineering":[2],"(TE)":[3],"solutions":[4],"perform":[5],"well":[6,81],"for":[7,71,80,185,205],"software":[8],"defined":[9],"network":[10],"(SDN)":[11],"in":[12,32,56],"average":[13],"cases.":[14],"However,":[15],"during":[16],"peak":[17,57],"hours,":[18],"bursty":[19],"spikes":[21],"are":[22,78],"challenging":[23],"to":[24,30,93,102,118,120,148,193],"handle,":[25],"because":[26],"it":[27],"is":[28,90],"difficult":[29],"react":[31],"time":[33],"and":[34,88,144,172,188],"guarantee":[35,53],"high":[36,54],"performance":[37,184],"even":[38],"after":[39,200],"failures":[40],"with":[41,84],"limited":[42,92],"flow":[43,109,215],"entries.We":[44],"propose":[45],"TED,":[46],"a":[47,63,156,162,201],"scalable":[48],"TE":[49],"system":[50],"that":[51,179],"can":[52,60],"throughput":[55,154,171],"hours.":[58],"TED":[59,89,119,180],"quickly":[61],"compute":[62],"group":[64],"of":[65,68,108,128,151,214],"maximum":[66,123,134,169],"number":[67],"edge-disjoint":[69],"paths":[70,77,104,117],"each":[72],"ingress-egress":[73],"switch":[74],"pair.":[75],"Such":[76],"suitable":[79],"connected":[82],"networks":[83],"unique":[85],"edge":[86],"capacity":[87],"not":[91],"use":[94],"only":[95],"these":[96],"paths.":[97],"We":[98,112],"design":[99],"two":[100],"methods":[101],"select":[103],"under":[105,155,210],"the":[106,115,122,133,142,145,149,168,198,211],"limit":[107,213],"table":[110,216],"size.":[111,217],"then":[113],"input":[114,141],"selected":[116],"minimize":[121],"link":[124,135,203],"utilization.":[125],"In":[126],"case":[127],"large":[129],"matrix":[131,147],"making":[132],"utilization":[136,143],"larger":[137],"than":[138,208],"1,":[139],"we":[140,160],"optimization":[150],"maximizing":[152],"overall":[153,170],"new":[157],"constrain.":[158],"Thus":[159],"obtain":[161],"realistic":[163],"matrix,":[165],"which":[166],"has":[167,181,189],"guarantees":[173],"no":[174],"starvation.":[176],"Experiments":[177],"show":[178],"much":[182],"better":[183],"heavily-loaded":[186],"SDN":[187],"10%":[190],"higher":[191],"probability":[192],"satisfy":[194],"all":[195],"(>":[196],"99.99%)":[197],"single":[202],"failure":[204],"G-Scale":[206],"topology":[207],"Smore":[209],"same":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}