{"id":"https://openalex.org/W2584737887","doi":"https://doi.org/10.1109/glocom.2016.7842330","title":"Throughput-Optimal LIFO Policy for Bounded Delay in the Presence of Heavy-Tailed Traffic","display_name":"Throughput-Optimal LIFO Policy for Bounded Delay in the Presence of Heavy-Tailed Traffic","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2584737887","doi":"https://doi.org/10.1109/glocom.2016.7842330","mag":"2584737887"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2016.7842330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842330","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":"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/A5080987710","display_name":"Shih\u2010Chun Lin","orcid":"https://orcid.org/0000-0003-1957-9588"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shih-Chun Lin","raw_affiliation_strings":["BWN Lab, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BWN Lab, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100383534","display_name":"Pu Wang","orcid":"https://orcid.org/0000-0003-1988-5016"},"institutions":[{"id":"https://openalex.org/I39587148","display_name":"Wichita State University","ror":"https://ror.org/00c4e7y75","country_code":"US","type":"education","lineage":["https://openalex.org/I39587148"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pu Wang","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS","institution_ids":["https://openalex.org/I39587148"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044396726","display_name":"Ian F. Akyildiz","orcid":"https://orcid.org/0000-0002-8099-3529"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ian F. Akyildiz","raw_affiliation_strings":["BWN Lab, Georgia Institute of Technology, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BWN Lab, Georgia Institute of Technology, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101103228","display_name":"Min Luo","orcid":"https://orcid.org/0000-0002-4731-0255"},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Luo","raw_affiliation_strings":["Shannon Lab, Huawei Technologies Co., Ltd, Santa Clara"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shannon Lab, Huawei Technologies Co., Ltd, Santa Clara","institution_ids":["https://openalex.org/I4210146936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6145,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83061335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":0.9986000061035156,"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/burstiness","display_name":"Burstiness","score":0.8238891363143921},{"id":"https://openalex.org/keywords/fifo-and-lifo-accounting","display_name":"FIFO and LIFO accounting","score":0.7217937707901001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6801078915596008},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.6598502993583679},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5756282806396484},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5518175959587097},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.538449764251709},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.4207564890384674},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4163585901260376},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3562629222869873},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3513147830963135},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19173377752304077},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.15576446056365967},{"id":"https://openalex.org/keywords/fifo","display_name":"FIFO (computing and electronics)","score":0.15203246474266052},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07913392782211304}],"concepts":[{"id":"https://openalex.org/C2781023610","wikidata":"https://www.wikidata.org/wiki/Q17006304","display_name":"Burstiness","level":3,"score":0.8238891363143921},{"id":"https://openalex.org/C48721391","wikidata":"https://www.wikidata.org/wiki/Q1265942","display_name":"FIFO and LIFO accounting","level":3,"score":0.7217937707901001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801078915596008},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.6598502993583679},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5756282806396484},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5518175959587097},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.538449764251709},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.4207564890384674},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4163585901260376},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3562629222869873},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3513147830963135},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19173377752304077},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.15576446056365967},{"id":"https://openalex.org/C2777145635","wikidata":"https://www.wikidata.org/wiki/Q515636","display_name":"FIFO (computing and electronics)","level":2,"score":0.15203246474266052},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07913392782211304},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","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":2,"locations":[{"id":"doi:10.1109/glocom.2016.7842330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2016.7842330","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"},{"id":"pmh:oai:soar.wichita.edu:10057/13432","is_oa":false,"landing_page_url":"http://hdl.handle.net/10057/13432","pdf_url":null,"source":{"id":"https://openalex.org/S4306401479","display_name":"Holmes Museum Of Anthropology (Wichita State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39587148","host_organization_name":"Wichita State University","host_organization_lineage":["https://openalex.org/I39587148"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W86440057","https://openalex.org/W1499963479","https://openalex.org/W1539551064","https://openalex.org/W1965745185","https://openalex.org/W1971271142","https://openalex.org/W1991369076","https://openalex.org/W2034049424","https://openalex.org/W2041058815","https://openalex.org/W2049686408","https://openalex.org/W2062832101","https://openalex.org/W2102996315","https://openalex.org/W2105177639","https://openalex.org/W2141510310","https://openalex.org/W2143557214","https://openalex.org/W4247914571","https://openalex.org/W6632150416"],"related_works":["https://openalex.org/W1843717240","https://openalex.org/W2340440348","https://openalex.org/W2508200300","https://openalex.org/W2083756677","https://openalex.org/W2737070158","https://openalex.org/W2138256111","https://openalex.org/W1574103160","https://openalex.org/W1591572210","https://openalex.org/W2163664144","https://openalex.org/W2172079042"],"abstract_inverted_index":{"Scheduling":[0],"is":[1,115,172],"one":[2],"of":[3,38,54,61,131,143,182,191],"the":[4,45,59,62,107,118,140,157,187,197],"most":[5],"important":[6],"resource":[7],"allocation":[8],"for":[9,207],"networked":[10,39,136],"systems.":[11],"Conventional":[12],"scheduling":[13,64,73,104],"policies":[14,85],"are":[15,93],"primarily":[16],"developed":[17,89],"under":[18,75,90,122,210],"light-tailed":[19],"(LT)":[20],"traffic":[21,31,56,80,145,163,183,192],"assumptions.":[22],"However,":[23],"recent":[24],"empirical":[25],"studies":[26],"show":[27],"that":[28,134,202],"heavy-tailed":[29],"(HT)":[30],"flows":[32,209],"have":[33],"emerged":[34],"in":[35],"a":[36,101,135],"variety":[37],"systems,":[40],"such":[41],"as":[42],"cellular":[43],"networks,":[44],"Internet,":[46],"and":[47,78,125,200],"data":[48],"centers.":[49],"The":[50,128],"highly":[51],"bursty":[52],"nature":[53],"HT":[55,77,124,160,212],"fundamentally":[57],"challenges":[58],"applicability":[60],"conventional":[63],"policies.":[65],"This":[66],"paper":[67],"aims":[68],"to":[69,152,174],"develop":[70],"novel":[71],"throughput-optimal":[72,95],"algorithms":[74],"hybrid":[76,123],"LT":[79,91,126,162],"flows,":[81,146],"where":[82],"classic":[83],"optimal":[84],"(e.g.,":[86,186],"maximum-weight/backpressure":[87],"schemes),":[88],"assumption,":[92],"not":[94],"anymore.":[96],"To":[97],"counter":[98],"this":[99],"problem,":[100],"delay-based":[102],"maximum-weight":[103],"policy":[105],"with":[106,117],"last-in":[108],"first-out":[109],"(LIFO)":[110],"service":[111],"discipline,":[112],"namely":[113],"LIFO-DMWS,":[114],"proposed":[116],"proved":[119,173],"throughput":[120,129],"optimality":[121,130,177],"traffic.":[127],"LIFO-DMWS":[132,171,203],"gives":[133],"system":[137],"can":[138],"support":[139],"largest":[141],"set":[142],"incoming":[144],"while":[147],"guaranteeing":[148],"bounded":[149,205],"queueing":[150,169],"delay":[151,206],"each":[153],"queue,":[154],"no":[155],"matter":[156],"queue":[158],"has":[159],"or":[161,189],"arrival.":[164],"Specifically,":[165],"by":[166],"exploiting":[167],"asymptotic":[168],"analysis,":[170],"achieve":[175],"throughout":[176],"without":[178],"requiring":[179],"any":[180],"knowledge":[181],"statistic":[184],"information":[185],"tailness":[188],"burstiness":[190],"flows).":[193],"Simulation":[194],"results":[195],"validate":[196],"derived":[198],"theories":[199],"confirm":[201],"achieves":[204],"all":[208],"challenging":[211],"environments.":[213]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2017-02-10T00:00:00"}
