{"id":"https://openalex.org/W3096645300","doi":"https://doi.org/10.1145/3379485","title":"Dynamic Weighted Fairness with Minimal Disruptions","display_name":"Dynamic Weighted Fairness with Minimal Disruptions","publication_year":2020,"publication_date":"2020-05-27","ids":{"openalex":"https://openalex.org/W3096645300","doi":"https://doi.org/10.1145/3379485","mag":"3096645300"},"language":"en","primary_location":{"id":"doi:10.1145/3379485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3379485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3379485","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3379485","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006392819","display_name":"Sungjin Im","orcid":"https://orcid.org/0000-0001-5994-7280"},"institutions":[{"id":"https://openalex.org/I156087764","display_name":"University of California, Merced","ror":"https://ror.org/00d9ah105","country_code":"US","type":"education","lineage":["https://openalex.org/I156087764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungjin Im","raw_affiliation_strings":["University of California, Merced, Merced, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Merced, Merced, CA, USA","institution_ids":["https://openalex.org/I156087764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044201440","display_name":"Benjamin Moseley","orcid":"https://orcid.org/0000-0001-8162-017X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benjamin Moseley","raw_affiliation_strings":["Carnegie Mellon University, pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047351951","display_name":"Kamesh Munagala","orcid":"https://orcid.org/0000-0003-2636-9650"},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamesh Munagala","raw_affiliation_strings":["Duke University, Durham, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, NC, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046525615","display_name":"Kirk Pruhs","orcid":"https://orcid.org/0000-0001-5680-1753"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kirk Pruhs","raw_affiliation_strings":["University of Pittsburgh, pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16849309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"4","issue":"1","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9987000226974487,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.7320826053619385},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6147165894508362},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5498766899108887},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.531120777130127},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4444458484649658},{"id":"https://openalex.org/keywords/max-min-fairness","display_name":"Max-min fairness","score":0.44122177362442017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.429158091545105},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40152257680892944},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39597374200820923},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12852567434310913}],"concepts":[{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.7320826053619385},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6147165894508362},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5498766899108887},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.531120777130127},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4444458484649658},{"id":"https://openalex.org/C177972170","wikidata":"https://www.wikidata.org/wiki/Q17097315","display_name":"Max-min fairness","level":3,"score":0.44122177362442017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.429158091545105},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40152257680892944},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39597374200820923},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12852567434310913},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3379485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3379485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3379485","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3379485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3379485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3379485","source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7099999785423279,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1084238560","display_name":"AF: Small: Collaborative Research: Algorithmic and Computational Frontiers of MapReduce for Big Data Analysis","funder_award_id":"1617724","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1728316609","display_name":null,"funder_award_id":"N00014-19-1-226","funder_id":"https://openalex.org/F4320338298","funder_display_name":"Office of Naval Research Global"},{"id":"https://openalex.org/G2227161409","display_name":"AitF: EXPL: Data Management in Domain Wall Memory-based Scratchpad for High Performance Mobile Devices","funder_award_id":"1535755","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2673416368","display_name":null,"funder_award_id":"CCF-1733873","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2902473203","display_name":null,"funder_award_id":"CCF-1725543","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2963653684","display_name":"SPX: Collaborative Research: Harnessing the Power of High-Bandwidth Memory via Provably Efficient Parallel Algorithms","funder_award_id":"1725543","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3365892681","display_name":null,"funder_award_id":"CCF-1421508","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3480124279","display_name":null,"funder_award_id":"CCF-1535755","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4929465500","display_name":null,"funder_award_id":"1637397","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4974344370","display_name":null,"funder_award_id":"CCF-1409130, CCF-1617653, CCF-1844939, CCF-1617724, CCF-1733873, CCF-1725543, CCF-1408784, CCF-1637397, IIS-1447554, CCF-1421508, CCF-1535755","funder_id":"https://openalex.org/F4320309856","funder_display_name":"National Youth Science Foundation"},{"id":"https://openalex.org/G5774808026","display_name":null,"funder_award_id":"IIS-1447554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6530157264","display_name":"AF: Small: Algorithmic Energy Management in New Information Technologies","funder_award_id":"1421508","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G691689332","display_name":null,"funder_award_id":"CCF-1409130","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6993358345","display_name":null,"funder_award_id":"CCF-1844939","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7219055393","display_name":null,"funder_award_id":"1409130","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7247602557","display_name":null,"funder_award_id":"N00014-19-1-2268","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G7361967927","display_name":"AITF: Applied Algorithmic Foundation for Scheduling Multiprogrammed Parallelizable Workloads","funder_award_id":"1733873","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7494066774","display_name":"AF: Medium: Collaborative Research: Multi-dimensional Scheduling and Resource Allocation in Data Centers","funder_award_id":"1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G759804249","display_name":null,"funder_award_id":"CCF-1637397","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7679193398","display_name":null,"funder_award_id":"CCF-1408784","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8185933655","display_name":"CAREER: New Algorithmic Foundations for Online Scheduling","funder_award_id":"1844939","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8302925103","display_name":"BIGDATA: F: DKA: Collaborative Research: Dealing Efficiently with Big Social Network Data","funder_award_id":"1447554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320309856","display_name":"National Youth Science Foundation","ror":"https://ror.org/054yz2f06"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338298","display_name":"Office of Naval Research Global","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096645300.pdf","grobid_xml":"https://content.openalex.org/works/W3096645300.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1765763830","https://openalex.org/W1996998821","https://openalex.org/W2008751404","https://openalex.org/W2017334559","https://openalex.org/W2022678927","https://openalex.org/W2027344678","https://openalex.org/W2032723264","https://openalex.org/W2042127730","https://openalex.org/W2087547812","https://openalex.org/W2104680817","https://openalex.org/W2109827459","https://openalex.org/W2110560130","https://openalex.org/W2117366456","https://openalex.org/W2120422789","https://openalex.org/W2139264436","https://openalex.org/W2141992894","https://openalex.org/W2294047952","https://openalex.org/W2629221296","https://openalex.org/W2741380816","https://openalex.org/W2809729766","https://openalex.org/W2950007716","https://openalex.org/W2962938689","https://openalex.org/W3005368569","https://openalex.org/W6637822718","https://openalex.org/W6747577141"],"related_works":["https://openalex.org/W2341847970","https://openalex.org/W4319874546","https://openalex.org/W2945502068","https://openalex.org/W1890643295","https://openalex.org/W2373207776","https://openalex.org/W2071821779","https://openalex.org/W2061187297","https://openalex.org/W2349594227","https://openalex.org/W2548647858","https://openalex.org/W2141048793"],"abstract_inverted_index":{"In":[0,111,225],"this":[1],"paper,":[2],"we":[3,131,178,227],"consider":[4,59,77,195],"the":[5,19,29,39,47,51,78,96,114,122,128,148,154,159,164,169,196,212,249,252,257,273],"following":[6],"dynamic":[7],"fair":[8,26,34,64,106,138,185],"allocation":[9,27,35,52,65,107,124,139,165,170,186],"problem:":[10],"Given":[11],"a":[12,32,60,103,135,172,182],"sequence":[13],"of":[14,28,42,49,53,63,98,214,251,256],"job":[15,55,173,247],"arrivals":[16],"and":[17,92,121,203,260],"departures,":[18],"goal":[20],"is":[21,46,56,125,233],"to":[22,101,127,171,217,272],"maintain":[23,102,218,238],"an":[24,234],"approximately":[25],"resource":[30,123],"against":[31],"target":[33],"policy,":[36],"while":[37],"minimizing":[38],"total":[40],"number":[41,48,97,213],"\\em":[43],"disruptions,":[44],"which":[45],"times":[50],"any":[54],"changed.":[57],"We":[58,75,88,193,205,263],"rich":[61],"class":[62],"policies":[66],"that":[67,133,180,230,236],"significantly":[68],"generalize":[69],"those":[70],"considered":[71],"in":[72,150],"previous":[73],"work.":[74],"first":[76,206],"models":[79],"where":[80,117,163,198],"jobs":[81,85,118,176,199,253,258],"only":[82,86,167],"arrive,":[83,177],"or":[84],"depart.":[87,204],"present":[89],"tight":[90],"upper":[91],"lower":[93,209],"bounds":[94,149,210],"for":[95,113,153,222],"disruptions":[99,143,190,215,245],"required":[100,216],"constant":[104,136,183,219,239],"approximate":[105,137,184,220,240],"every":[108],"time":[109],"step.":[110],"particular,":[112],"canonical":[115],"case":[116],"have":[119],"weights":[120,250],"proportional":[126],"job's":[129],"weight,":[130],"show":[132,179,207,229,265],"maintaining":[134,181],"requires":[140,187],"\u0398(\u0142og^*":[141],"n)":[142,189],"per":[144,191,246],"job,":[145],"almost":[146],"matching":[147],"prior":[151],"work":[152],"unit":[155],"weight":[156],"case.":[157],"For":[158],"more":[160],"general":[161],"setting":[162,274],"policy":[166],"decreases":[168],"when":[174],"new":[175],"\u0398(\u0142og":[188],"job.":[192],"then":[194,228],"model":[197],"can":[200,237,269],"both":[201],"arrive":[202],"strong":[208],"on":[211],"fairness":[221,241],"arbitrary":[223],"instances.":[224],"contrast":[226],"there":[231,232],"algorithm":[235],"with":[242,275],"$O(1)$":[243],"expected":[244],"if":[248],"are":[254],"independent":[255],"arrival":[259],"departure":[261],"order.":[262],"finally":[264],"how":[266],"our":[267],"results":[268],"be":[270],"extended":[271],"multiple":[276],"resources.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}