{"id":"https://openalex.org/W2109125344","doi":"https://doi.org/10.1145/2254756.2254761","title":"Delay tails in MapReduce scheduling","display_name":"Delay tails in MapReduce scheduling","publication_year":2012,"publication_date":"2012-06-11","ids":{"openalex":"https://openalex.org/W2109125344","doi":"https://doi.org/10.1145/2254756.2254761","mag":"2109125344"},"language":"en","primary_location":{"id":"doi:10.1145/2254756.2254761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254756.2254761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems","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/A5101812238","display_name":"Jian Tan","orcid":"https://orcid.org/0000-0002-1080-9300"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jian Tan","raw_affiliation_strings":["IBM T. J. Watson Research, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100948767","display_name":"Xiaoqiao Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoqiao Meng","raw_affiliation_strings":["IBM T. J. Watson Research, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425779","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0003-4837-0900"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["IBM T. J. Watson Research, Hawthorne, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research, Hawthorne, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101812238"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":39.7907,"has_fulltext":false,"cited_by_count":92,"citation_normalized_percentile":{"value":0.99748167,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9936000108718872,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9933000206947327,"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":0.8199814558029175},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7674620151519775},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.7114261984825134},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6869480609893799},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6346865892410278},{"id":"https://openalex.org/keywords/job-scheduler","display_name":"Job scheduler","score":0.5024566650390625},{"id":"https://openalex.org/keywords/map-reduce","display_name":"Map reduce","score":0.457505464553833},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4332275390625},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41884154081344604},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3863254189491272},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.3675105571746826},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17967262864112854},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.13920986652374268},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.10210150480270386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8199814558029175},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7674620151519775},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.7114261984825134},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6869480609893799},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6346865892410278},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.5024566650390625},{"id":"https://openalex.org/C3019257732","wikidata":"https://www.wikidata.org/wiki/Q567759","display_name":"Map reduce","level":3,"score":0.457505464553833},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4332275390625},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41884154081344604},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3863254189491272},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3675105571746826},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17967262864112854},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.13920986652374268},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.10210150480270386},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2254756.2254761","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2254756.2254761","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM SIGMETRICS/PERFORMANCE joint international conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W110612056","https://openalex.org/W1508832460","https://openalex.org/W1523319063","https://openalex.org/W1972455049","https://openalex.org/W2022678927","https://openalex.org/W2041958520","https://openalex.org/W2057420573","https://openalex.org/W2065524702","https://openalex.org/W2074715746","https://openalex.org/W2077054557","https://openalex.org/W2096385018","https://openalex.org/W2099410350","https://openalex.org/W2112955560","https://openalex.org/W2114303224","https://openalex.org/W2132353061","https://openalex.org/W2153571182","https://openalex.org/W2153919611","https://openalex.org/W2163291889","https://openalex.org/W2173213060","https://openalex.org/W2330736495","https://openalex.org/W2331887353","https://openalex.org/W2332627151","https://openalex.org/W2463905059","https://openalex.org/W2561675875","https://openalex.org/W2591685184","https://openalex.org/W4206769493","https://openalex.org/W6682562708"],"related_works":["https://openalex.org/W2160425906","https://openalex.org/W1882733036","https://openalex.org/W2546696010","https://openalex.org/W1992741870","https://openalex.org/W2109998134","https://openalex.org/W4300829366","https://openalex.org/W2766090822","https://openalex.org/W4320067933","https://openalex.org/W1558329704","https://openalex.org/W2069027735"],"abstract_inverted_index":{"MapReduce/Hadoop":[0],"production":[1],"clusters":[2],"exhibit":[3],"heavy-tailed":[4],"characteristics":[5],"for":[6,30],"job":[7,50,110],"processing":[8],"times.":[9],"These":[10],"phenomena":[11],"are":[12],"resultant":[13],"of":[14,38,47,118],"the":[15,19,25,34,60,71],"workload":[16],"features":[17],"and":[18,36,44,54,91],"adopted":[20],"scheduling":[21],"algorithms.":[22],"Analytically":[23],"understanding":[24],"delays":[26],"under":[27],"different":[28],"schedulers":[29],"MapReduce":[31,49],"can":[32],"facilitate":[33],"design":[35,90],"deployment":[37],"large":[39],"Hadoop":[40],"clusters.":[41],"The":[42],"map":[43,102],"reduce":[45,83,98],"tasks":[46,99],"a":[48],"have":[51],"fundamental":[52],"difference":[53],"tight":[55],"dependence":[56],"between":[57],"them,":[58],"complicating":[59],"analysis.":[61],"This":[62],"also":[63],"leads":[64],"to":[65,77,81,109,115],"an":[66,116],"interesting":[67],"starvation":[68],"problem":[69],"with":[70],"widely":[72],"used":[73],"Fair":[74],"Scheduler":[75],"due":[76],"its":[78],"greedy":[79],"approach":[80],"launching":[82],"tasks.":[84],"To":[85],"address":[86],"this":[87],"issue,":[88],"we":[89],"implement":[92],"Coupling":[93],"Scheduler,":[94],"which":[95],"gradually":[96],"launches":[97],"depending":[100],"on":[101],"task":[103],"progresses.":[104],"Real":[105],"experiments":[106],"demonstrate":[107],"improvements":[108],"response":[111],"times":[112],"by":[113],"up":[114],"order":[117],"magnitude.":[119]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":11},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}