{“id”:“https://openalex.org/W4229037479“,”doi“:”https://doi.org/10.1016/j.future.2022.04.036“,”title“:“基于深度学习的软件定义网络中的近最优响应流量工程”,”display_name“:”基于深度学习软件定义网络的近优响应流量工程“,”publication_year“:2022,”publitation_date“:”2022-10-01“,”ids“:{”openalex“:”https://openalex.org/W4229037479“,”doi“:”https://doi.org/10.1016/j.future.2022.04.036“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1016/j.future.2022.04.036“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S186357190“,”display_name“:”未来一代计算机系统“,”issn_l“:”0167-739X“,”isn“:[”0167-839X“、”1872-7115“],”is_oa“:false,”is_in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”article“,”type_crossref“:“jornal-article”,“indexed_in”:[”crossref“],pository_has_fulltext“:false},”authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A5053194103“,”display_name“:”Mohammed I.Salman“,”orcid“:”https://orcid.org/0000-0002-0233-7534},“机构”:[{“id”:https://openalex.org/I83328450“,”display_name“:”迈阿密大学“,”ror“:”https://ror.org/05nbqxr67“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I83328450“]},{”id“:”https://openalex.org/I19648265“,”display_name“:”莱特州立大学“,”ror“:”https://ror.org/04qk6pt94“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I19648265“]},{”id“:”https://openalex.org/I27768575“,”display_name“:”安巴尔大学“,”ror“:”https://ror.org/055a6gk50“,”country_code“:“IQ”,”type“:”教育“,”世系“:[”https://openalex.org/I27768575“]}],”国家“:[”IQ“,”US“],”is_corresponding“:true,”raw_author_name“:”Mohammed I.Salman“,”raw _affiliation_strings“:[“安巴尔大学,拉马迪,安巴尔,伊拉克”,“迈阿密大学,牛津,俄亥俄州,美国”,“赖特州立大学,俄亥俄州代顿”],“afliations”:[{“raw_affiliation _string”:“美国俄亥俄州,牛津,迈阿密大学”,“institution_ids”:[”https://openalex.org/I83328450“]},{”raw_affiliation_string“:”美国俄亥俄州代顿市莱特州立大学“,”institution_ids“:[”https://openalex.org/I19648265“]},{”raw_affiliation_string“:”伊拉克安巴尔拉马迪安巴尔大学“,”institution_ids“:[”https://openalex.org/I27768575“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5033732336“,”display_name“:”王斌“,”orcid“:”https://orcid.org/0000-0002-5853-9522},“机构”:[{“id”:https://openalex.org/I19648265“,”display_name“:”莱特州立大学“,”ror“:”https://ror.org/04qk6pt94“,”country_code“:”US“,”type“:“教育”,”世系“:[”https://openalex.org/I19648265“]}],”国家“:[”美国“],”is_corresponding“:false,”raw_author_name“:”Bin Wang“,”raw _affiliation_strings“:[“美国俄亥俄州代顿市莱特州立大学”],”affiliations“:[{”raw_affiliation_string“:”美国俄亥俄州代顿市莱特州立大学”,“institution_ids”:[”https://openalex.org/I19648265“]}]}],”countries_disticont_count“:2,”institutions_disticent_count”:3,”corresponding_author_ids“:[”https://openalex.org/A5053194103“],”对应的机构ID“:[”https://openalex.org/I83328450","https://openalex.org/I19648265","https://openalex.org/I27768575“],”apc_list“:{”value“:3340,”currency“:”USD“,”value_USD“:33400,”provenance“:”doaj“},”apc _pay“:null,”fwci“:1.856,”has_fulltext“:false,”cited_by_count“:6,”cited_by_percentile_year“:{”min“:89,”max“:90},“biblio”:{“volume”:“135”,”issue“:nul,”first_page“:”172“,”last_page“:”180“},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T10714“,”display_name“:”软件定义的网络和网络虚拟化“,”score“:0.9976,”subfield“:{”id“:”https://openalex.org/subfields/1705“,”display_name“:”计算机网络和通信“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T10714“,”display_name“:”软件定义的网络和网络虚拟化“,”score“:0.9976,”subfield“:{”id“:”https://openalex.org/subfields/1705“,”display_name“:”计算机网络和通信“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11598“,”“display_name”:“互联网流量分类的机器学习”,“score”:0.9941,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10400“,”“display_name”:“网络入侵检测和防御机制”,“score”:0.9847,“subfield”:{“id”:“https://openalex.org/subfields/1705“,”display_name“:”计算机网络和通信“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/traffic-analysis网站“,”display_name“:”流量分析“,”score“:0.602865},{”id“:”https://openalex.org/keywords/traffic-engineering网站“,”display_name“:”流量工程“,”score“:0.589296},{”id“:”https://openalex.org/keywords/machine-learning-for-networking“,”display_name“:”网络机器学习“,”score“:0.546766},{”id“:”https://openalex.org/keywords/software-defined-networking网站“,”display_name“:”软件定义的网络“,”score“:0.526927},{”id“:”https://openalex.org/keywords/dep-learning网站“,”display_name“:”深度学习“,”score“:0.517691}],”concepts“:[{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.84245133},{”id“:”https://openalex.org/C173801870,“wikidata”:https://www.wikidata.org/wiki/Q201413“,”display_name“:”启发式“,”level“:2,”score“:0.6543652},{”id“:”https://openalex.org/C74172769,“wikidata”:https://www.wikidata.org/wiki/Q1446839“,”display_name“:”路由(电子设计自动化)“,”level“:2,”score“:0.61512285},{”id“:”https://openalex.org/C199845137,“wikidata”:https://www.wikidata.org/wiki/Q145490“,”display_name“:”网络拓扑“,”level“:2,”score“:0.6083355},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.5298286},{”id“:”https://openalex.org/C16160715,“wikidata”:https://www.wikidata.org/wiki/Q1640676“,”display_name“:”流量工程“,”level“:2,”score“:0.4841705},{”id“:”https://openalex.org/C120314980,“wikidata”:https://www.wikidata.org/wiki/Q180634“,”display_name“:”分布式计算“,”level“:1,”score“:0.46342102},{”id“:”https://openalex.org/C176715033,“wikidata”:https://www.wikidata.org/wiki/Q2080768“,”display_name“:”流量生成模型“,”level“:2,”score“:0.42377216},{”id“:”https://openalex.org/C97137487,“wikidata”:https://www.wikidata.org/wiki/Q729138“,”display_name“:”整数(计算机科学)“,”level“:2,”score“:0.4135986},{”id“:”https://openalex.org/C24337046,“wikidata”:https://www.wikidata.org/wiki/Q4394138“,”display_name“:”网格网络“,”level“:3,”score“:0.4119176},{”id“:”https://openalex.org/C126255220,“wikidata”:https://www.wikidata.org/wiki/Q141495“,”display_name“:”数学优化“,”level“:1,”score“:0.38652644},{”id“:”https://openalex.org/C187691185,“wikidata”:https://www.wikidata.org/wiki/Q2020720“,”display_name“:”Grid“,”level“:2,”score“:0.38458505},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.3595488},{”id“:”https://openalex.org/C79403827,“wikidata”:https://www.wikidata.org/wiki/Q3988“,”display_name“:”实时计算“,”level“:1,”score“:0.2434195},{”id“:”https://openalex.org/C31258907,“wikidata”:https://www.wikidata.org/wiki/Q1301371“,”display_name“:”计算机网络“,”level“:1,”score“:0.20741469},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C2524010,“wikidata”:https://www.wikidata.org/wiki/Q8087“,”display_name“:”Geometry“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C199360897,“wikidata”:https://www.wikidata.org/wiki/Q9143“,”display_name“:”编程语言“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1016/j.future.2022.04.036“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S186357190“,”display_name“:”未来一代计算机系统“,”issn_l“:”0167-739X“,”isn“:[”0167-839X“、”1872-7115“],”is_oa“:false,”is_in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310320990“,”“host_organization_name”:“Elsevier BV”,“host_organization_lineage”:[“https://openalex.org/P4310320990“],”host_organization_lineage_names“:[”Elsevier BV“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:{“funder”:“https://openalex.org/F4320306076“,”“funder_display_name”:“国家科学基金会”,“award_id”:null},{“funder”:“https://openalex.org/F4320306078“,”funder_display_name“:”美国国防部“,”award_id“:null},{”funder“:”https://openalex.org/F4320306084“,”funder_display_name“:”美国能源部“,”award_id“:null}]“,”datasets“:[],”versions“:[],”referenced_works_count“:33,”referrenced_works“:[”https://openalex.org/W136016496","https://openalex.org/W142258998","https://openalex.org/W2021136283","https://openalex.org/W2039330990","https://openalex.org/W2118404561","https://openalex.org/W2137583600","https://openalex.org/W2145339207","https://openalex.org/W2164649945","https://openalex.org/W2257979135","https://openalex.org/W2566425973","https://openalex.org/W2592864539","https://openalex.org/W2596567068","https://openalex.org/W2604444759","https://openalex.org/W2617931713","https://openalex.org/W2620303912","https://openalex.org/W2893647509","https://openalex.org/W2900376989","https://openalex.org/W2911471242","https://openalex.org/W2912274232","https://openalex.org/W2914189542","https://openalex.org/W2943717074","https://openalex.org/W2960532465","https://openalex.org/W2978285052","https://openalex.org/W2988263400","https://openalex.org/W3034965108","https://openalex.org/W3043880351","https://openalex.org/W3102933607","https://openalex.org/W3103263926","https://openalex.org/W3117778195","https://openalex.org/W3126135128","https://openalex.org/W3213275695","https://openalex.org/W4230033334","https://openalex.org/W4288080220“],”related_works“:[”https://openalex.org/W4210256734","https://openalex.org/W3007419580","https://openalex.org/W2598698104","https://openalex.org/W2497786025","https://openalex.org/W2490010379","https://openalex.org/W2156095544","https://openalex.org/W2141362536","https://openalex.org/W2125392637","https://openalex.org/W1587074800","https://openalex.org/W1578044317“],”ngrams_url“:”https://api.openalex.org/works/W4229037479/ngrams“,”“abstract_inverted_index”:{“The”:[0,91174183226],“routing”:[1,89],“problem”:[2,15,48134],“for”:[3,44125],“traffic”:[4,97102107139192199205242],“engineering”:[5193200243],“can”:[6,16233],“be”:[7,17,42,56],“solved”:[8],“using”:[9],“different”:[10],“technologies”:[11],“for”:%12],例如,“:[13],”“:[14,88101133216],”公式化的“:[18],”为“:[19],”a“:[20,25,33,46,70,74,78109113116122126163180190222240],”线性“:[21,27],”程序“:[22,28],”(LP)“:[23],”或“:[24],”混合整数“:[26],”(MILP)“:[29],”that“:[30,7160229],”requires“:[31],”solving“:[32,45],”complex“:[34],”optimization“:[35],”problem“。“:[36,90],”因此,“:[37],”此“:[38],”方法“:[39],”通常“:[40],”不能“:[41],”已使用“:[43],”大“:[47],”in“:[49179207],”real“:[50208],”time。“:[51209],”或者,“:[52],”启发式“:[53],”算法“:[54],”可能“:[55],”设计“:[57],”那,“:58],”虽然“:[59],”快速“:[60],”做“:[61],”不“:[62],”保证“:[63],”an“:[64],”最优“:[65,84198236],”决策。“:[66],”此“:[67131],”工作“:[68],”建议“:[69],”新颖“:[71],”设计“:[72],”的“:[73119135155162166189],”系统“:[75184232],”雇佣“:[77],”深度“:[79145],”学习“:[80146],”模型“:[81,92],”培训“:[82],”关于“:[83213],”决策“:[85237],”到“:[86,94,96105108197204 238],“求解”:[87],“学习”:[93],“适应”:[95],“动力学”:[98206],“通过“:[99],“更新”:[100],“拆分”:[103],“比率”:[104],“分布”:[106],“少数”:[110164],“路径”:[111],“介于”:[112],“源”:[11127],“和”:[115128138157170202221],“目的地”:[117129],“替代”:[118],“频繁”:[120],“计算”:[121],“单个”:[123],“路径”:[124],“对。“:[130],”解决“:[132],”网络“:[136169],”干扰“:[137],”中断。“:[140],”具体来说,“:[141],”we“:[142],”train“:[143],”two“:[144175186214],”models:“:[147],”DNN“:[148158],”(MLP)“:[149],”which“:[150],”is“:[151],”fully“:[152],”connected“:[153],”layers“:[154165],”neurons“,”:[156],“(LSTM)”:[159],”composes“:[161],”LSTM“:[167],“神经”:[168],“致密”:[172],“层。“:[173],”模型“:[176],”是“:[177],”评估“:[178],”TE“:[181],”模拟器。“:[182],”offers“:[185],”important“:[187],”features“:[188],”good“:[191],”system:“:[194],”producing“:[195],”close“:[196],”results“:[20127],”represponsing“:[203],”We“:[210],”perform“:211],”simulations“:[212],”topologies“:[215],”ATT“:[217],”North“:[218],”America“:[219],”拓扑“:[220],”4x4“:[223],”网格“:[224],”拓扑。“:[225],”show“:[228],”our“:[230],”proposed“:[231],”learn“:[234],”from“:[235],”reach“:[239],”responsible“:[241],”system。“:[244]},”cited_by_api_url“:”https://api.openalex.org/works?filter=引用:W4229037479”,“counts_by_year”:[{“year”:2023,“cited_by_count”:5},{“year”:2022,“cited_by_count”:1}],“updated_date”:“2024-06-26T11:00:09.909763”,“created_date”:“2022-05-08”}