{"id":"https://openalex.org/W2583931134","doi":"https://doi.org/10.1109/glocom.2016.7842029","title":"Non-Preemptive Coflow Scheduling and Routing","display_name":"Non-Preemptive Coflow Scheduling and Routing","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2583931134","doi":"https://doi.org/10.1109/glocom.2016.7842029","mag":"2583931134"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7842029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"},"type":"article","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/A5039743876","display_name":"Ruozhou Yu","orcid":"https://orcid.org/0000-0003-0905-5158"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ruozhou Yu","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026230689","display_name":"Guoliang Xue","orcid":"https://orcid.org/0000-0002-5833-8894"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guoliang Xue","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368859","display_name":"Xiang Zhang","orcid":"https://orcid.org/0000-0002-4146-3584"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Zhang","raw_affiliation_strings":["Arizona State University, Tempe, AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039176528","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0003-4418-0114"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Syracuse University, Syracuse, NY"],"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039743876"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":3.9809,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.9464295,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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":1.0,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9977999925613403,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9962999820709229,"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":0.8266781568527222},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7635481357574463},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.7416330575942993},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6471116542816162},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5915347337722778},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.45291563868522644},{"id":"https://openalex.org/keywords/preemption","display_name":"Preemption","score":0.4479331076145172},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.4447760283946991},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4247822165489197},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.14366069436073303},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.12441036105155945},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0851600170135498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8266781568527222},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7635481357574463},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.7416330575942993},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6471116542816162},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5915347337722778},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.45291563868522644},{"id":"https://openalex.org/C206952183","wikidata":"https://www.wikidata.org/wiki/Q1193100","display_name":"Preemption","level":2,"score":0.4479331076145172},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.4447760283946991},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4247822165489197},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14366069436073303},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.12441036105155945},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0851600170135498},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2016.7842029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Global Communications Conference (GLOBECOM)","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":29,"referenced_works":["https://openalex.org/W14875769","https://openalex.org/W1545728916","https://openalex.org/W1657185548","https://openalex.org/W1698388015","https://openalex.org/W2013932952","https://openalex.org/W2083656653","https://openalex.org/W2091520147","https://openalex.org/W2099657323","https://openalex.org/W2101871381","https://openalex.org/W2102549685","https://openalex.org/W2103110737","https://openalex.org/W2109195783","https://openalex.org/W2110514750","https://openalex.org/W2117884704","https://openalex.org/W2143163492","https://openalex.org/W2149939304","https://openalex.org/W2159279524","https://openalex.org/W2164740236","https://openalex.org/W2168427242","https://openalex.org/W2952435244","https://openalex.org/W2999349537","https://openalex.org/W3160520312","https://openalex.org/W3162070257","https://openalex.org/W4232438850","https://openalex.org/W4237445262","https://openalex.org/W4242648275","https://openalex.org/W4255119735","https://openalex.org/W6600620567","https://openalex.org/W6636819530"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W4290043243","https://openalex.org/W1981130628","https://openalex.org/W4387006201"],"abstract_inverted_index":{"As":[0],"more":[1,3],"and":[2,50,105,117,144,179],"data-intensive":[4],"applications":[5],"have":[6],"been":[7,33],"moved":[8],"to":[9,35,94,158,176],"the":[10,12,17,28,39,73,80,96,113,121,159,166],"cloud,":[11],"cloud":[13,22,40,68,122],"network":[14,64],"has":[15,32],"become":[16],"new":[18],"performance":[19,65],"bottleneck":[20],"for":[21,130,138],"applications.":[23],"To":[24],"boost":[25],"application":[26,69],"performance,":[27],"concept":[29],"of":[30,45,66,76,83],"coflow":[31,43,52,115,131,139,172],"proposed":[34,153,167],"bring":[36],"application-awareness":[37],"into":[38],"network.":[41,123],"A":[42],"consists":[44],"many":[46],"individual":[47,85],"data":[48],"flows,":[49],"a":[51,67],"is":[53,70,155],"completed":[54],"only":[55],"when":[56],"all":[57],"its":[58],"component":[59],"flows":[60],"are":[61,180],"transmitted.":[62],"The":[63],"dependent":[71],"on":[72],"completion":[74,81,97,173],"time":[75,82,174],"coflows,":[77],"rather":[78],"than":[79],"each":[84],"flow.":[86],"Existing":[87],"coflow-aware":[88],"optimization":[89,128],"solutions":[90,168],"employ":[91],"flow":[92],"preemption":[93],"reduce":[95,171],"time,":[98],"which":[99],"brings":[100],"difficulty":[101],"in":[102,120],"practical":[103],"implementation":[104],"non-negligible":[106],"overhead.":[107],"In":[108],"this":[109],"paper,":[110],"we":[111],"study":[112],"non-preemptive":[114],"scheduling":[116],"routing":[118,140,143,146],"problem":[119],"We":[124,148],"propose":[125],"an":[126],"offline":[127],"framework":[129,154],"scheduling,":[132],"as":[133,135],"well":[134],"two":[136],"subroutines":[137],"using":[141],"single-path":[142],"multi-path":[145],"respectively.":[147],"also":[149,181],"show":[150,164],"that":[151,165],"our":[152],"easily":[156],"extensible":[157],"online":[160],"scenario.":[161],"Extensive":[162],"evaluations":[163],"can":[169],"greatly":[170],"compared":[175],"coflow-agnostic":[177],"solutions,":[178],"computationally":[182],"efficient.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}