{"id":"https://openalex.org/W7162401893","doi":"https://doi.org/10.1145/3801489.3806859","title":"Empirical Gittins for Data-driven M/G/1 Scheduling with Arbitrary Job Size Distributions","display_name":"Empirical Gittins for Data-driven M/G/1 Scheduling with Arbitrary Job Size Distributions","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162401893","doi":"https://doi.org/10.1145/3801489.3806859"},"language":null,"primary_location":{"id":"doi:10.1145/3801489.3806859","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3801489.3806859","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3801489.3806859","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114222128","display_name":"Shefali Ramakrishna","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shefali Ramakrishna","raw_affiliation_strings":["School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-9315-1929","affiliations":[{"raw_affiliation_string":"School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107035363","display_name":"Amit Harlev","orcid":"https://orcid.org/0000-0002-2627-0012"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Harlev","raw_affiliation_strings":["Center for Applied Mathematics, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-2627-0012","affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014560251","display_name":"Ziv Scully","orcid":"https://orcid.org/0000-0002-8547-1068"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziv Scully","raw_affiliation_strings":["School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-8547-1068","affiliations":[{"raw_affiliation_string":"School of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.61107534,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"58","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.866100013256073,"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":0.866100013256073,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.030500000342726707,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.011500000022351742,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.5859000086784363},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5698000192642212},{"id":"https://openalex.org/keywords/job-scheduler","display_name":"Job scheduler","score":0.45559999346733093},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4180000126361847},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.4007999897003174},{"id":"https://openalex.org/keywords/lottery-scheduling","display_name":"Lottery scheduling","score":0.32269999384880066},{"id":"https://openalex.org/keywords/job-queue","display_name":"Job queue","score":0.3111000061035156}],"concepts":[{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.5859000086784363},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5698000192642212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47380000352859497},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.45559999346733093},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4180000126361847},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36239999532699585},{"id":"https://openalex.org/C112866106","wikidata":"https://www.wikidata.org/wiki/Q267053","display_name":"Lottery scheduling","level":5,"score":0.32269999384880066},{"id":"https://openalex.org/C171627638","wikidata":"https://www.wikidata.org/wiki/Q6206744","display_name":"Job queue","level":4,"score":0.3111000061035156},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2978000044822693},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.29429998993873596},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.25600001215934753},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3801489.3806859","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3801489.3806859","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3801489.3806859","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3801489.3806859","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.6837965250015259,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2025215390","https://openalex.org/W2028301248","https://openalex.org/W2059443493","https://openalex.org/W2113575907","https://openalex.org/W2775073702","https://openalex.org/W3204966604","https://openalex.org/W4247230948","https://openalex.org/W4313648241","https://openalex.org/W4390604779","https://openalex.org/W4411411446","https://openalex.org/W4413767848","https://openalex.org/W4416054003"],"related_works":[],"abstract_inverted_index":{"When":[0],"scheduling":[1,95],"in":[2,61],"the":[3,22,39,66,86],"M/G/1":[4],"queue":[5],"to":[6],"minimize":[7],"mean":[8,53,99],"response":[9,54,100],"time,":[10],"a":[11,32,47,94],"classic":[12],"result":[13],"is":[14,25,28],"that":[15,51,57],"if":[16],"job":[17,41,48,68,87],"sizes":[18],"are":[19],"unknown,":[20],"then":[21],"Gittins":[23,27],"policy":[24,33,96],"optimal.":[26],"best":[29],"described":[30],"as":[31,37],"construction:":[34],"it":[35,45],"takes":[36],"input":[38],"queue's":[40],"size":[42,69,88],"distribution,":[43,70,89],"and":[44],"outputs":[46],"prioritization":[49],"rule":[50],"optimizes":[52],"time":[55],"for":[56],"particular":[58],"distribution.":[59],"But":[60],"practice,":[62],"instead":[63],"of":[64],"knowing":[65],"exact":[67],"one":[71,92],"usually":[72],"only":[73],"has":[74],"samples":[75,84],"from":[76,85],"it.":[77],"We":[78],"therefore":[79],"ask:":[80],"given":[81],"finitely":[82],"many":[83],"how":[90],"can":[91],"construct":[93],"with":[97],"near-optimal":[98],"time?":[101]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-27T00:00:00"}
