{"id":"https://openalex.org/W2761539437","doi":"https://doi.org/10.1109/infocom.2017.8057181","title":"Improving ECN marking scheme with micro-burst traffic in data center networks","display_name":"Improving ECN marking scheme with micro-burst traffic in data center networks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2761539437","doi":"https://doi.org/10.1109/infocom.2017.8057181","mag":"2761539437"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2017.8057181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8057181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","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/A5035184053","display_name":"Danfeng Shan","orcid":"https://orcid.org/0000-0003-0852-5955"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Shan","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080197427","display_name":"Fengyuan Ren","orcid":"https://orcid.org/0000-0001-6526-3889"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyuan Ren","raw_affiliation_strings":["Department of Computer Science and Technology, Tsinghua University, Beijing, China","Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9994999766349792,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9983999729156494,"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/arithmetic-underflow","display_name":"Arithmetic underflow","score":0.8722922205924988},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.7457075119018555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7452042698860168},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.6377162933349609},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.6299760341644287},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.6280167102813721},{"id":"https://openalex.org/keywords/buffer-overflow","display_name":"Buffer overflow","score":0.47029826045036316},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.45666036009788513},{"id":"https://openalex.org/keywords/packet-loss","display_name":"Packet loss","score":0.44661396741867065},{"id":"https://openalex.org/keywords/data-center","display_name":"Data center","score":0.43394166231155396},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4243505001068115},{"id":"https://openalex.org/keywords/network-congestion","display_name":"Network congestion","score":0.4210503101348877},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07386189699172974}],"concepts":[{"id":"https://openalex.org/C3265923","wikidata":"https://www.wikidata.org/wiki/Q669129","display_name":"Arithmetic underflow","level":2,"score":0.8722922205924988},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.7457075119018555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452042698860168},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.6377162933349609},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.6299760341644287},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.6280167102813721},{"id":"https://openalex.org/C40842320","wikidata":"https://www.wikidata.org/wiki/Q19423","display_name":"Buffer overflow","level":2,"score":0.47029826045036316},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.45666036009788513},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.44661396741867065},{"id":"https://openalex.org/C153740404","wikidata":"https://www.wikidata.org/wiki/Q671224","display_name":"Data center","level":2,"score":0.43394166231155396},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4243505001068115},{"id":"https://openalex.org/C195563490","wikidata":"https://www.wikidata.org/wiki/Q180368","display_name":"Network congestion","level":3,"score":0.4210503101348877},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07386189699172974},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2017.8057181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2017.8057181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2017 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W14875769","https://openalex.org/W1523910856","https://openalex.org/W1609755472","https://openalex.org/W1639808811","https://openalex.org/W1700991880","https://openalex.org/W1864827048","https://openalex.org/W1990249073","https://openalex.org/W1998471240","https://openalex.org/W2016530318","https://openalex.org/W2036003010","https://openalex.org/W2096812769","https://openalex.org/W2098450166","https://openalex.org/W2098506891","https://openalex.org/W2109195783","https://openalex.org/W2113093733","https://openalex.org/W2117884704","https://openalex.org/W2133581580","https://openalex.org/W2143663695","https://openalex.org/W2148983286","https://openalex.org/W2157614013","https://openalex.org/W2158733823","https://openalex.org/W2159083104","https://openalex.org/W2160830750","https://openalex.org/W2163404313","https://openalex.org/W2164740236","https://openalex.org/W2293109153","https://openalex.org/W2311243340","https://openalex.org/W2469333707","https://openalex.org/W2498764059","https://openalex.org/W2505830093","https://openalex.org/W4213221859","https://openalex.org/W6600620567","https://openalex.org/W6637044833","https://openalex.org/W6637562893","https://openalex.org/W6639381750","https://openalex.org/W6683697503","https://openalex.org/W6698441169"],"related_works":["https://openalex.org/W2339997894","https://openalex.org/W4200167741","https://openalex.org/W2107541170","https://openalex.org/W1993832972","https://openalex.org/W2368842303","https://openalex.org/W2099904224","https://openalex.org/W2109224365","https://openalex.org/W2075435010","https://openalex.org/W2254476338","https://openalex.org/W2379779931"],"abstract_inverted_index":{"In":[0,35,123],"data":[1,42,85],"centers,":[2],"micro-burst":[3,33,62],"is":[4,38,87,110,119,152],"a":[5],"common":[6],"traffic":[7],"pattern.":[8],"The":[9,144],"packet":[10],"dropping":[11],"caused":[12,31,153],"by":[13,32,130,154],"it":[14],"usually":[15],"leads":[16],"to":[17,27,44,60,89],"serious":[18],"performance":[19],"degradations.":[20],"Therefore,":[21,157],"much":[22],"attention":[23],"has":[24],"been":[25],"paid":[26],"avoiding":[28],"buffer":[29,53,77,113],"overflow":[30],"traffic.":[34,63],"particular,":[36],"ECN":[37,69,81,108,155],"widely":[39],"used":[40],"in":[41,73,84,97,105],"centers":[43,86],"keep":[45],"persistent":[46],"queue":[47,102,141],"occupancy":[48],"low,":[49,111],"so":[50],"that":[51,67,148,176],"enough":[52],"space":[54],"can":[55,167,178],"be":[56],"available":[57],"as":[58],"headroom":[59],"absorb":[61],"However,":[64],"we":[65,126,135,158,174],"find":[66],"instantaneous-queue-length-based":[68],"may":[70,95,114],"cause":[71],"problems":[72],"another":[74],"direction":[75],"-":[76],"underflow.":[78],"Specifically,":[79],"current":[80],"marking":[82],"scheme":[83],"easy":[88],"trigger":[90],"spurious":[91],"congestion":[92],"signals,":[93],"which":[94,166],"result":[96,146],"overreaction":[98,149],"of":[99,140,150],"senders":[100,151],"and":[101,116,132,162,183],"length":[103,142],"oscillations":[104],"switches.":[106],"Since":[107],"threshold":[109],"the":[112,138],"underflow":[115],"link":[117],"capacity":[118],"not":[120],"fully":[121],"used.":[122],"this":[124,128],"paper,":[125],"reveal":[127],"problem":[129],"experiments":[131],"simulations.":[133],"Besides,":[134],"theoretically":[136],"deduce":[137],"amplitude":[139],"oscillations.":[143],"analysis":[145],"shows":[147],"mis-marking.":[156],"propose":[159],"Combined":[160],"Enqueue":[161],"Dequeue":[163],"Marking":[164],"(CEDM),":[165],"mark":[168],"packets":[169],"more":[170],"accurately.":[171],"Through":[172],"simulations,":[173],"show":[175],"CEDM":[177],"greatly":[179],"reduce":[180],"throughput":[181],"loss":[182],"improve":[184],"flow":[185],"completion":[186],"time.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}