{"id":"https://openalex.org/W2000965016","doi":"https://doi.org/10.1145/1254882.1254907","title":"Adaptive and scalable comparison scheduling","display_name":"Adaptive and scalable comparison scheduling","publication_year":2007,"publication_date":"2007-06-12","ids":{"openalex":"https://openalex.org/W2000965016","doi":"https://doi.org/10.1145/1254882.1254907","mag":"2000965016"},"language":"en","primary_location":{"id":"doi:10.1145/1254882.1254907","doi":"https://doi.org/10.1145/1254882.1254907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1254882.1254907","pdf_url":null,"source":{"id":"https://openalex.org/S7407088608","display_name":"ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},"volume":null,"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/A5052491848","display_name":"Predrag R. Jelenkovi\u0107","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Predrag R. Jelenkovic","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076602802","display_name":"Xiaozhu Kang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaozhu Kang","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101812238","display_name":"Jian Rong Tan","orcid":"https://orcid.org/0000-0002-1080-9300","observed_orcids":["https://orcid.org/0000-0002-1080-9300"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Tan","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":3.9328,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93604061,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"215","last_page":"226"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9901999831199646,"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"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9901999831199646,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.002199999988079071,"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/T13553","display_name":"Age of Information Optimization","score":0.0010000000474974513,"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/shortest-remaining-processing-time","display_name":"shortest remaining processing time","score":0.7649999856948853},{"id":"https://openalex.org/keywords/queueing-analysis","display_name":"queueing analysis","score":0.597000002861023},{"id":"https://openalex.org/keywords/asymptotic-analysis","display_name":"asymptotic analysis","score":0.6349999904632568},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.4740000069141388},{"id":"https://openalex.org/keywords/priority-scheduling","display_name":"priority scheduling","score":0.4970000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7620581388473511},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6441293358802795},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5263910293579102},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5160007476806641},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.448382169008255},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21854281425476074},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.11501067876815796},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1078757643699646},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.07445099949836731},{"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:10.1145/1254882.1254907","doi":"https://doi.org/10.1145/1254882.1254907","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1254882.1254907","pdf_url":null,"source":{"id":"https://openalex.org/S7407088608","display_name":"ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/8","score":0.49000000953674316,"display_name":"Decent work and economic growth"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1499963479","https://openalex.org/W1576140702","https://openalex.org/W1578343564","https://openalex.org/W1931508614","https://openalex.org/W1972455049","https://openalex.org/W1978944824","https://openalex.org/W1979948822","https://openalex.org/W2022207819","https://openalex.org/W2028301248","https://openalex.org/W2033664082","https://openalex.org/W2038594010","https://openalex.org/W2051160011","https://openalex.org/W2064491216","https://openalex.org/W2073219414","https://openalex.org/W2074715746","https://openalex.org/W2095389986","https://openalex.org/W2096284235","https://openalex.org/W2096385018","https://openalex.org/W2101204871","https://openalex.org/W2106144697","https://openalex.org/W2112955560","https://openalex.org/W2123100429","https://openalex.org/W2126566987","https://openalex.org/W2127674183","https://openalex.org/W2134936565","https://openalex.org/W2144475388","https://openalex.org/W2152407381","https://openalex.org/W2153919611","https://openalex.org/W2168282962","https://openalex.org/W2171039044","https://openalex.org/W2592596173","https://openalex.org/W2799288319","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W7097904079","https://openalex.org/W2592596173","https://openalex.org/W2102249095","https://openalex.org/W7098583038","https://openalex.org/W7096154552","https://openalex.org/W7100742661","https://openalex.org/W2997214873","https://openalex.org/W2969920260","https://openalex.org/W4206809521","https://openalex.org/W3196380266"],"abstract_inverted_index":{"The":[0,163],"Shortest":[1],"Remaining":[2],"Processing":[3],"Time":[4],"(SRPT)":[5],"scheduling":[6],"disciplineis":[7],"optimal":[8],"and":[9,104,149,187],"its":[10,63],"superior":[11],"performance,":[12],"compared":[13],"with":[14,66,112],"the":[15,21,42,48,67,72,79,89,107,136,142,154,180,195,201,207],"policies":[16],"that":[17,62,199],"do":[18],"not":[19],"use":[20],"knowledge":[22],"of":[23,69,96,100,109,130,153,166,173,194,203,209],"job":[24,134,145,204],"sizes,":[25],"can":[26],"be":[27],"quantified":[28],"using":[29,178],"mean-value":[30],"analysis":[31,183],"as":[32,34],"well":[33],"our":[35],"new":[36],"a":[37,92,120,131,170,210],"symptotic":[38],"distribution":[39],"allimits":[40],"for":[41,169],"relatively":[43],"smaller":[44,110],"heavy-tailed":[45],"jobs.":[46],"However,":[47],"main":[49],"difficulty":[50],"in":[51,54,71,75],"implementing":[52],"SRPT":[53,86],"large":[55],"practical":[56],"systems,":[57],"e.g.,":[58],"Web":[59],"servers,":[60],"is":[61,82,146,176],"complexity":[64],"grows":[65],"number":[68,95,172],"jobs":[70,99,111],"queue.":[73],"Hence,":[74],"order":[76],"to":[77,84,135],"lower":[78],"complexity,":[80],"it":[81,158],"natural":[83],"approximate":[85],"by":[87],"grouping":[88,123,197],"arrivals":[90],"into":[91,160],"fixed":[93],"(small)":[94],"classes":[97,108,174],"containing":[98],"approximately":[101],"equal":[102],"size":[103,128],"then":[105],"serve":[106],"higher":[113],"priorities.":[114],"In":[115],"this":[116,167],"paper,":[117],"we":[118],"design":[119],"novel":[121],"adaptive":[122],"mechanism":[124,198],"based":[125],"on":[126],"relative":[127],"comparison":[129,196],"newly":[132,143],"arriving":[133,144],"preceding":[137],"m":[138,156],"arrivals.":[139],"Specifically,":[140],"if":[141],"smallerthan":[147],"k":[148],"larger":[150],"than":[151],"m-k":[152],"previous":[155],"jobs,":[157],"isrouted":[159],"class":[161],"k.":[162],"excellent":[164],"performance":[165],"mechanism,even":[168],"small":[171,211],"m+1,":[175],"demonstrated":[177],"both":[179],"asymptotic":[181],"queueing":[182],"under":[184],"heavy":[185],"tails":[186],"extensive":[188],"simulations.":[189],"We":[190],"also":[191],"discuss":[192],"refinements":[193],"improve":[200],"accuracy":[202],"classification":[205],"at":[206],"expense":[208],"additional":[212],"complexity.":[213]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}