{"id":"https://openalex.org/W2964254084","doi":"https://doi.org/10.1145/3337821.3337843","title":"On Max-min Fair Resource Allocation for Distributed Job Execution","display_name":"On Max-min Fair Resource Allocation for Distributed Job Execution","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2964254084","doi":"https://doi.org/10.1145/3337821.3337843","mag":"2964254084"},"language":"en","primary_location":{"id":"doi:10.1145/3337821.3337843","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3337821.3337843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International Conference on Parallel Processing","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/A5034637360","display_name":"Yitong Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yitong Guan","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101979710","display_name":"Chuanyou Li","orcid":"https://orcid.org/0000-0002-8725-6417"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyou Li","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015527156","display_name":"Xueyan Tang","orcid":"https://orcid.org/0000-0002-7404-7595"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xueyan Tang","raw_affiliation_strings":["Nanyang Technological University Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034637360"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":1.0174,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.8285094,"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":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T10715","display_name":"Distributed and Parallel Computing Systems","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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9937999844551086,"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":0.6793600916862488},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5443099141120911},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49336662888526917},{"id":"https://openalex.org/keywords/resource-management","display_name":"Resource management (computing)","score":0.476202130317688},{"id":"https://openalex.org/keywords/processor-scheduling","display_name":"Processor scheduling","score":0.44206202030181885},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.35975417494773865},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16772615909576416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6793600916862488},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5443099141120911},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49336662888526917},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.476202130317688},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.44206202030181885},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.35975417494773865},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16772615909576416}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3337821.3337843","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3337821.3337843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1230574503","https://openalex.org/W1890643295","https://openalex.org/W2032723264","https://openalex.org/W2035309843","https://openalex.org/W2055748525","https://openalex.org/W2096125134","https://openalex.org/W2117366456","https://openalex.org/W2126143263","https://openalex.org/W2129542763","https://openalex.org/W2163291889","https://openalex.org/W2613173048","https://openalex.org/W2764122222","https://openalex.org/W2791456077","https://openalex.org/W2950007716","https://openalex.org/W3000407226","https://openalex.org/W3150127673"],"related_works":["https://openalex.org/W2923452570","https://openalex.org/W206598027","https://openalex.org/W2978610750","https://openalex.org/W2138260944","https://openalex.org/W2022931285","https://openalex.org/W1589966275","https://openalex.org/W2086872282","https://openalex.org/W2137789903","https://openalex.org/W2534160330","https://openalex.org/W2153007255"],"abstract_inverted_index":{"In":[0],"modern":[1],"data":[2,28],"intensive":[3],"computing,":[4],"it":[5,96],"is":[6,180],"increasingly":[7],"common":[8],"for":[9,46],"jobs":[10,37,177],"to":[11,24,56,78,112,121,129,154],"be":[12,79,155],"executed":[13],"in":[14,49,162,167],"a":[15,50,143],"distributed":[16,39,57],"fashion":[17],"across":[18,75],"multiple":[19,61],"machine":[20,52,54],"clusters":[21],"or":[22,53],"datacenters":[23],"take":[25],"advantage":[26],"of":[27,89,110,176],"locality.":[29],"This":[30],"paper":[31],"studies":[32],"fair":[33],"resource":[34,47,73,149,164],"allocation":[35,48,74,150,165],"among":[36,178],"requiring":[38],"execution.":[40],"We":[41,82,105,118],"extend":[42],"conventional":[43],"max-min":[44,80,156],"fairness":[45],"single":[51],"cluster":[55],"job":[58,132,168],"execution":[59],"over":[60],"sites":[62,77,179],"and":[63,93,125,166],"define":[64],"Aggregate":[65],"Max-min":[66],"Fairness":[67],"(AMF)":[68],"which":[69,145],"requires":[70,147],"the":[71,87,101,114,131,148,173],"aggregate":[72],"all":[76],"fair.":[81],"show":[83,139],"that":[84,140],"AMF":[85,111,123,158],"satisfies":[86],"properties":[88],"Pareto":[90],"efficiency,":[91],"envy-freeness":[92],"strategy-proofness,":[94],"but":[95],"does":[97],"not":[98],"necessarily":[99],"satisfy":[100],"sharing":[102,115],"incentive":[103,116],"property.":[104,117],"propose":[106,126],"an":[107,127],"enhanced":[108],"version":[109],"guarantee":[113],"present":[119],"algorithms":[120],"compute":[122],"allocations":[124],"add-on":[128],"optimize":[130],"completion":[133,169],"times":[134],"under":[135],"AMF.":[136],"Experimental":[137],"results":[138],"compared":[141],"with":[142],"baseline":[144],"simply":[146],"at":[151],"each":[152],"site":[153],"fair,":[157],"performs":[159],"significantly":[160],"better":[161],"balancing":[163],"time,":[170],"particularly":[171],"when":[172],"workload":[174],"distribution":[175],"highly":[181],"skewed.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}