{"id":"https://openalex.org/W3203600045","doi":"https://doi.org/10.1145/3477132.3483588","title":"Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP","display_name":"Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP","publication_year":2021,"publication_date":"2021-10-19","ids":{"openalex":"https://openalex.org/W3203600045","doi":"https://doi.org/10.1145/3477132.3483588","mag":"3203600045"},"language":"en","primary_location":{"id":"doi:10.1145/3477132.3483588","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477132.3483588","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477132.3483588","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3477132.3483588","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079514101","display_name":"Deepak Narayanan","orcid":"https://orcid.org/0000-0002-3020-2848"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Deepak Narayanan","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005485274","display_name":"Fiodar Kazhamiaka","orcid":"https://orcid.org/0000-0002-0798-5151"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fiodar Kazhamiaka","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059130960","display_name":"Firas Abuzaid","orcid":"https://orcid.org/0000-0002-1424-4554"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Firas Abuzaid","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101784753","display_name":"Peter Kraft","orcid":"https://orcid.org/0009-0008-7215-7425"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Kraft","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112643057","display_name":"Akshay Agrawal","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Akshay Agrawal","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023881736","display_name":"Srikanth Kandula","orcid":"https://orcid.org/0000-0001-9494-6435"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Srikanth Kandula","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011176205","display_name":"Stephen Boyd","orcid":"https://orcid.org/0000-0001-8353-6000"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Boyd","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005554337","display_name":"Matei Zaharia","orcid":"https://orcid.org/0000-0002-7547-7204"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matei Zaharia","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5079514101"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":9.1021,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.97832729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"537"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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":0.9998000264167786,"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/T12288","display_name":"Optimization and Search Problems","score":0.9990000128746033,"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/heuristics","display_name":"Heuristics","score":0.8095035552978516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902116179466248},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6044529676437378},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5953101515769958},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5710157155990601},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5426547527313232},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5414102673530579},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.532889723777771},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46634501218795776},{"id":"https://openalex.org/keywords/processor-scheduling","display_name":"Processor scheduling","score":0.4568910598754883},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.43843507766723633},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.31301459670066833},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1247113049030304},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10152652859687805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09957966208457947},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.08228382468223572},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.0799795389175415}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8095035552978516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902116179466248},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6044529676437378},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5953101515769958},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5710157155990601},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5426547527313232},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5414102673530579},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.532889723777771},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46634501218795776},{"id":"https://openalex.org/C2984822820","wikidata":"https://www.wikidata.org/wiki/Q1123036","display_name":"Processor scheduling","level":3,"score":0.4568910598754883},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.43843507766723633},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.31301459670066833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1247113049030304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10152652859687805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09957966208457947},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.08228382468223572},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.0799795389175415},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1145/3477132.3483588","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477132.3483588","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477132.3483588","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3477132.3483588","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3477132.3483588","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3477132.3483588","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1861310076","display_name":null,"funder_award_id":"CNS-1651570","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2499887605","display_name":null,"funder_award_id":"DGE-1656518","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G320138474","display_name":null,"funder_award_id":"-1656518","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5267932457","display_name":null,"funder_award_id":"1656518","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8292672501","display_name":null,"funder_award_id":"CNS-1651570, DGE-1656518","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320307791","display_name":"Cisco Systems","ror":"https://ror.org/03yt1ez60"},{"id":"https://openalex.org/F4320315934","display_name":"Toyota Research Institute","ror":null},{"id":"https://openalex.org/F4320316785","display_name":"VMware","ror":null},{"id":"https://openalex.org/F4320330001","display_name":"Ant Financial Services Group","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3203600045.pdf","grobid_xml":"https://content.openalex.org/works/W3203600045.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1766210857","https://openalex.org/W1976916015","https://openalex.org/W2022678927","https://openalex.org/W2061962896","https://openalex.org/W2098095723","https://openalex.org/W2105560970","https://openalex.org/W2117595194","https://openalex.org/W2117702591","https://openalex.org/W2118404561","https://openalex.org/W2131975293","https://openalex.org/W2136558412","https://openalex.org/W2151449617","https://openalex.org/W2152817319","https://openalex.org/W2164278908","https://openalex.org/W2165030634","https://openalex.org/W2173213060","https://openalex.org/W2271870283","https://openalex.org/W2288174618","https://openalex.org/W2510353444","https://openalex.org/W2560324934","https://openalex.org/W2572234696","https://openalex.org/W2819252821","https://openalex.org/W2896658168","https://openalex.org/W2919594608","https://openalex.org/W2963966702","https://openalex.org/W3000407226","https://openalex.org/W3034292819","https://openalex.org/W3080999573","https://openalex.org/W3094979291","https://openalex.org/W3102762136","https://openalex.org/W6684402220","https://openalex.org/W7033316772"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W2784269775","https://openalex.org/W2952904874"],"abstract_inverted_index":{"Resource":[0],"allocation":[1,48,136],"problems":[2,20,49,116],"in":[3,125,167],"many":[4,47],"computer":[5],"systems":[6,172],"can":[7,76],"be":[8],"formulated":[9],"as":[10,146],"mathematical":[11],"optimization":[12,93],"problems.":[13],"However,":[14],"finding":[15],"exact":[16],"solutions":[17],"to":[18,37,98,147,170],"these":[19,82],"using":[21],"off-the-shelf":[22],"solvers":[23],"is":[24],"often":[25],"intractable":[26],"for":[27,137,173],"large":[28,56],"problem":[29,94,113],"sizes":[30],"with":[31,164],"tight":[32],"SLAs,":[33],"leading":[34],"system":[35],"designers":[36],"rely":[38],"on":[39],"cheap,":[40],"heuristic":[41],"algorithms.":[42],"We":[43,140],"observe,":[44],"however,":[45],"that":[46,89],"are":[50],"granular:":[51],"they":[52],"consist":[53],"of":[54,58,68,72,120,161],"a":[55,65,118,134],"number":[57,71],"clients":[59,75,122],"and":[60,74,96,123,128,143,178],"resources,":[61,73],"each":[62],"client":[63],"requests":[64],"small":[66],"fraction":[67],"the":[69,91,112,121,126,130,162],"total":[70],"interchangeably":[77],"use":[78],"different":[79],"resources.":[80],"For":[81],"problems,":[83],"we":[84],"propose":[85],"an":[86],"alternative":[87],"approach":[88],"reuses":[90],"original":[92],"formulation":[95],"leads":[97],"better":[99],"allocations":[100,158],"than":[101],"domain-specific":[102],"heuristics.":[103],"Our":[104],"technique,":[105],"Partitioned":[106],"Optimization":[107],"Problems":[108],"(POP),":[109],"randomly":[110],"splits":[111],"into":[114,133],"smaller":[115],"(with":[117],"subset":[119],"resources":[124],"system)":[127],"coalesces":[129],"resulting":[131],"sub-allocations":[132],"global":[135],"all":[138],"clients.":[139],"provide":[141],"theoretical":[142],"empirical":[144],"evidence":[145],"why":[148],"random":[149],"partitioning":[150],"works":[151],"well.":[152],"In":[153],"our":[154],"experiments,":[155],"POP":[156],"achieves":[157],"within":[159],"1.5%":[160],"optimal":[163],"orders-of-magnitude":[165],"improvements":[166],"runtime":[168],"compared":[169],"existing":[171],"cluster":[174],"scheduling,":[175],"traffic":[176],"engineering,":[177],"load":[179],"balancing.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
