{"id":"https://openalex.org/W2786762820","doi":"https://doi.org/10.1109/pimrc.2017.8292291","title":"Longest-queue-first scheduling with intermittent sampling","display_name":"Longest-queue-first scheduling with intermittent sampling","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2786762820","doi":"https://doi.org/10.1109/pimrc.2017.8292291","mag":"2786762820"},"language":"en","primary_location":{"id":"doi:10.1109/pimrc.2017.8292291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual 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/A5005656304","display_name":"Saied Mehdian","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":true,"raw_author_name":"Saied Mehdian","raw_affiliation_strings":["Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088606320","display_name":"Zhengyuan Zhou","orcid":"https://orcid.org/0000-0002-0005-9411"},"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":"Zhengyuan Zhou","raw_affiliation_strings":["Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002056995","display_name":"Nicholas Bambos","orcid":"https://orcid.org/0000-0001-9250-4553"},"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":"Nicholas Bambos","raw_affiliation_strings":["Stanford University, Stanford, CA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005656304"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":0.1433,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54518693,"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":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9991999864578247,"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":0.9927999973297119,"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":0.8230768442153931},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.682081937789917},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.6565524935722351},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5738003849983215},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.5066097974777222},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5047451257705688},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.4314183294773102},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4105476438999176},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.34373939037323},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.32611528038978577},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2466646432876587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09485119581222534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8230768442153931},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.682081937789917},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.6565524935722351},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5738003849983215},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5066097974777222},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5047451257705688},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.4314183294773102},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4105476438999176},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.34373939037323},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.32611528038978577},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2466646432876587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09485119581222534}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/pimrc.2017.8292291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/pimrc.2017.8292291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 28th Annual 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1530526700","https://openalex.org/W1590502744","https://openalex.org/W1995713768","https://openalex.org/W2030003548","https://openalex.org/W2066826005","https://openalex.org/W2082768137","https://openalex.org/W2118827342","https://openalex.org/W2119813346","https://openalex.org/W2126212847","https://openalex.org/W2153780889","https://openalex.org/W2734540495","https://openalex.org/W4248531701","https://openalex.org/W4301753813","https://openalex.org/W6657862547"],"related_works":["https://openalex.org/W2184166483","https://openalex.org/W2397293317","https://openalex.org/W2377713709","https://openalex.org/W2373973180","https://openalex.org/W2372008037","https://openalex.org/W2978148977","https://openalex.org/W3003077338","https://openalex.org/W2225350526","https://openalex.org/W1545991362","https://openalex.org/W2060984508"],"abstract_inverted_index":{"A":[0,63],"prototypical":[1],"scheduling":[2,30,112,141],"problem":[3],"in":[4,61],"communication":[5],"networks":[6],"is":[7,55,70],"that":[8,32,38,71,136],"a":[9,15,20,26,110],"server":[10,40,73,81],"needs":[11],"to":[12,24,44,124],"select,":[13],"from":[14],"set":[16],"of":[17,48],"parallel":[18],"queues,":[19],"job":[21],"for":[22],"processing":[23],"achieve":[25],"pre-determined":[27],"objective.":[28],"Classical":[29],"schemes":[31],"yield":[33],"performance":[34,122],"guarantees":[35],"typically":[36],"assume":[37],"the":[39,45,49,72,80,86,105,115,133],"has":[41,137],"instant":[42],"access":[43],"realtime":[46],"information":[47,88],"entire":[50],"system":[51,87,119,126],"state.":[52],"However,":[53],"this":[54,93,97],"costly":[56],"and":[57,67,83,99,103,121],"hence":[58],"rarely":[59],"achievable":[60],"practice.":[62],"much":[64],"more":[65,100],"relaxed":[66,98],"realistic":[68,101],"assumption":[69],"only":[74],"operates":[75],"under":[76,145],"intermittent":[77,125,146],"sampling,":[78],"where":[79],"samples":[82],"thereby":[84],"obtains":[85],"at":[89],"random":[90],"times.":[91],"In":[92],"paper,":[94],"we":[95,131],"formalize":[96],"model":[102],"using":[104],"well-known":[106],"longest-queue-first":[107],"policy":[108],"as":[109],"particular":[111],"scheme,":[113],"study":[114],"resulting":[116],"impacts":[117],"on":[118],"stability":[120],"due":[123],"updates.":[127],"Through":[128],"extensive":[129],"simulations,":[130],"identify":[132],"key":[134],"message":[135],"practical":[138],"value:":[139],"Longest-queue-first":[140],"scheme":[142],"performs":[143],"well":[144],"sampling.":[147]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
