{"id":"https://openalex.org/W4417282275","doi":"https://doi.org/10.1109/pimrc62392.2025.11274636","title":"How to Maximize Efficiency in Systems with Exhausted Workers","display_name":"How to Maximize Efficiency in Systems with Exhausted Workers","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4417282275","doi":"https://doi.org/10.1109/pimrc62392.2025.11274636"},"language":null,"primary_location":{"id":"doi:10.1109/pimrc62392.2025.11274636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","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/A5120787388","display_name":"Elif Beray Sariisik","orcid":null},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Elif Beray Sariisik","raw_affiliation_strings":["Bilkent University,Department of Electrical and Electronics Engineering,Ankara,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilkent University,Department of Electrical and Electronics Engineering,Ankara,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000544057","display_name":"Melih Ba\u015ftop\u00e7u","orcid":"https://orcid.org/0000-0001-5122-0642"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Melih Bastopcu","raw_affiliation_strings":["Bilkent University,Department of Electrical and Electronics Engineering,Ankara,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilkent University,Department of Electrical and Electronics Engineering,Ankara,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080807022","display_name":"Nail Akar","orcid":"https://orcid.org/0000-0001-8143-1379"},"institutions":[{"id":"https://openalex.org/I168864056","display_name":"Bilkent University","ror":"https://ror.org/02vh8a032","country_code":"TR","type":"education","lineage":["https://openalex.org/I168864056"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Nail Akar","raw_affiliation_strings":["Bilkent University,Department of Electrical and Electronics Engineering,Ankara,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Bilkent University,Department of Electrical and Electronics Engineering,Ankara,T&#x00FC;rkiye","institution_ids":["https://openalex.org/I168864056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021132487","display_name":"\u015eennur Uluku\u015f","orcid":"https://orcid.org/0000-0002-8219-8190"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sennur Ulukus","raw_affiliation_strings":["University of Maryland,Department of Electrical and Computer Engineering,College Park,MD,USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland,Department of Electrical and Computer Engineering,College Park,MD,USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5120787388"],"corresponding_institution_ids":["https://openalex.org/I168864056"],"apc_list":null,"apc_paid":null,"fwci":2.5557,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92962894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.2563999891281128,"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":0.2563999891281128,"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/T13553","display_name":"Age of Information Optimization","score":0.10679999738931656,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.06469999998807907,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/set","display_name":"Set (abstract data type)","score":0.5705000162124634},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5205000042915344},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4212000072002411},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.38999998569488525},{"id":"https://openalex.org/keywords/efficient-algorithm","display_name":"Efficient algorithm","score":0.3846000134944916}],"concepts":[{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5333999991416931},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5205000042915344},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4212000072002411},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.38999998569488525},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38040000200271606},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.3262999951839447},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.31299999356269836},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2978000044822693}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc62392.2025.11274636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc62392.2025.11274636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1997792274","https://openalex.org/W2060263629","https://openalex.org/W2062303963","https://openalex.org/W2083925137","https://openalex.org/W2154479053","https://openalex.org/W3010727161","https://openalex.org/W3041291604","https://openalex.org/W3104436821","https://openalex.org/W3136728831","https://openalex.org/W3137257456","https://openalex.org/W3179043745","https://openalex.org/W4250589301","https://openalex.org/W4383551718","https://openalex.org/W4399345345","https://openalex.org/W4401184874","https://openalex.org/W4403017249","https://openalex.org/W4410536662","https://openalex.org/W4415367367","https://openalex.org/W7084128801"],"related_works":[],"abstract_inverted_index":{"We":[0,77],"consider":[1,78],"the":[2,54,58,60,65,84,90,124,129,139,143,150,168],"problem":[3,158],"of":[4,11,20,39,57,117],"assigning":[5],"tasks":[6,63,88,106],"efficiently":[7],"to":[8,34,64,71,89,107,132],"a":[9,18,24,31,45,118,134,155,160],"set":[10],"workers":[12,40,66,91,108],"that":[13],"can":[14,86,104],"exhaust":[15],"themselves":[16],"as":[17],"result":[19],"processing":[21],"tasks.":[22],"If":[23],"worker":[25],"is":[26],"exhausted,":[27],"it":[28,103],"will":[29],"take":[30],"longer":[32],"time":[33],"recover.":[35],"To":[36],"model":[37],"efficiency":[38],"with":[41,167],"exhaustion,":[42],"we":[43,127,153],"use":[44],"continuous-time":[46],"Markov":[47],"chain":[48],"(CTMC).":[49],"By":[50],"taking":[51],"samples":[52],"from":[53],"internal":[55],"states":[56],"workers,":[59],"source":[61,85],"assigns":[62],"when":[67,93,109],"they":[68,94,110],"are":[69,95,111],"found":[70],"be":[72,133],"in":[73,96,115],"their":[74,97],"efficient":[75,99,114],"states.":[76],"two":[79],"different":[80],"settings":[81],"where":[82,138],"(i)":[83],"assign":[87,105],"only":[92],"most":[98],"state,":[100],"and":[101,146],"(ii)":[102],"also":[112],"moderately":[113],"spite":[116],"potentially":[119],"reduced":[120],"success":[121],"probability.":[122],"In":[123,149],"former":[125],"case,":[126,152],"find":[128],"optimal":[130,170],"policy":[131,137],"threshold-based":[135],"sampling":[136],"thresholds":[140],"depend":[141],"on":[142],"workers\u2019":[144],"recovery":[145],"exhaustion":[147],"rates.":[148],"latter":[151],"solve":[154],"non-convex":[156],"sum-of-ratios":[157],"using":[159],"branch-and-bound":[161],"approach":[162],"which":[163],"performs":[164],"well":[165],"compared":[166],"globally":[169],"solution.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-12T00:00:00"}
