{"id":"https://openalex.org/W3048669917","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162767","title":"Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study","display_name":"Anti-Aging Scheduling in Single-Server Queues: A Systematic and Comparative Study","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048669917","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162767","mag":"3048669917"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9162767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5069438758","display_name":"Zhongdong Liu","orcid":"https://orcid.org/0000-0002-3410-0777"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhongdong Liu","raw_affiliation_strings":["Temple University, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075538786","display_name":"Liang Huang","orcid":"https://orcid.org/0000-0001-6924-4466"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Huang","raw_affiliation_strings":["College of Information Engineering, Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100365103","display_name":"Bin Li","orcid":"https://orcid.org/0000-0001-6002-677X"},"institutions":[{"id":"https://openalex.org/I17626003","display_name":"University of Rhode Island","ror":"https://ror.org/013ckk937","country_code":"US","type":"education","lineage":["https://openalex.org/I17626003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["University of Rhode Island, Kingston, Rhode Island"],"affiliations":[{"raw_affiliation_string":"University of Rhode Island, Kingston, Rhode Island","institution_ids":["https://openalex.org/I17626003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040279482","display_name":"Bo Ji","orcid":"https://orcid.org/0000-0003-0149-7509"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Ji","raw_affiliation_strings":["Temple University, Philadelphia, PA"],"affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069438758"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":null,"apc_paid":null,"fwci":0.4625,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66682332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T10300","display_name":"Congenital Heart Disease Studies","score":0.9506000280380249,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13471","display_name":"Cognitive Functions and Memory","score":0.9377999901771545,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848354339599609},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4872952699661255},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.47712042927742004},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43515336513519287},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.07374343276023865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07342895865440369}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848354339599609},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4872952699661255},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.47712042927742004},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43515336513519287},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.07374343276023865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07342895865440369}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9162767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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":27,"referenced_works":["https://openalex.org/W636382642","https://openalex.org/W1539841317","https://openalex.org/W1606894208","https://openalex.org/W1919404870","https://openalex.org/W1993918491","https://openalex.org/W2028301248","https://openalex.org/W2030311589","https://openalex.org/W2066786775","https://openalex.org/W2069417241","https://openalex.org/W2069689609","https://openalex.org/W2277339892","https://openalex.org/W2559157000","https://openalex.org/W2768771208","https://openalex.org/W2801221059","https://openalex.org/W2962995513","https://openalex.org/W2963294159","https://openalex.org/W2963568655","https://openalex.org/W2977115579","https://openalex.org/W2995358840","https://openalex.org/W3010500586","https://openalex.org/W3048669917","https://openalex.org/W3106385712","https://openalex.org/W4205984110","https://openalex.org/W4211024811","https://openalex.org/W4245777296","https://openalex.org/W4247230948","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2130966263","https://openalex.org/W1548040509","https://openalex.org/W2392906661","https://openalex.org/W2401335561","https://openalex.org/W2546696010","https://openalex.org/W2125095596","https://openalex.org/W2997221951","https://openalex.org/W3174582865","https://openalex.org/W1882733036","https://openalex.org/W2387034966"],"abstract_inverted_index":{"The":[0],"Age-of-Information":[1],"(AoI)":[2],"is":[3],"a":[4,24,71,164],"new":[5],"performance":[6,39,98,130],"metric":[7],"recently":[8],"proposed":[9],"for":[10,47,69,154],"measuring":[11],"the":[12,31,37,48,63,85,127,133],"freshness":[13],"of":[14,33,50,99],"information":[15,65],"in":[16,40],"information-update":[17],"systems.":[18],"In":[19],"this":[20],"work,":[21],"we":[22,55,90,110,137],"conduct":[23],"systematic":[25],"and":[26,43,87,105,146],"comparative":[27],"study":[28],"to":[29,60,76],"investigate":[30],"impact":[32],"scheduling":[34,52,116],"policies":[35,100,124,145],"on":[36],"AoI":[38,74,97,129,167],"single-server":[41],"queues":[42],"provide":[44],"useful":[45],"guidelines":[46],"design":[49],"AoI-efficient":[51],"policies.":[53,80,94,117,135,148],"Specifically,":[54],"first":[56],"perform":[57],"extensive":[58],"simulations":[59],"demonstrate":[61],"that":[62,101,106,122],"update-size":[64,86],"can":[66],"be":[67],"leveraged":[68],"achieving":[70],"substantially":[72],"improved":[73,96],"compared":[75],"non-size-based":[77],"(or":[78],"arrival-time-based)":[79],"Then,":[81],"by":[82],"utilizing":[83],"both":[84],"arrival-time":[88],"information,":[89],"propose":[91,112],"three":[92],"AoI-based":[93,115,147],"Observing":[95],"allow":[102],"service":[103],"preemption":[104],"prioritize":[107],"informative":[108],"updates,":[109],"further":[111],"preemptive,":[113],"informative,":[114],"Our":[118],"simulation":[119],"results":[120],"show":[121],"such":[123,159],"empirically":[125],"achieve":[126,163],"best":[128],"among":[131],"all":[132],"considered":[134],"Interestingly,":[136],"also":[138],"prove":[139],"sample-path":[140],"equivalence":[141],"between":[142],"some":[143,156],"size-based":[144,157],"This":[149],"provides":[150],"an":[151],"intuitive":[152],"explanation":[153],"why":[155],"policies,":[158],"as":[160],"Shortest-Remaining-Processing-Time":[161],"(SRPT),":[162],"very":[165],"good":[166],"performance.":[168]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
