{"id":"https://openalex.org/W4312710749","doi":"https://doi.org/10.1109/iscas48785.2022.9937409","title":"Fair Scheduling Through Collaborative Filtering on Multicore Systems","display_name":"Fair Scheduling Through Collaborative Filtering on Multicore Systems","publication_year":2022,"publication_date":"2022-05-28","ids":{"openalex":"https://openalex.org/W4312710749","doi":"https://doi.org/10.1109/iscas48785.2022.9937409"},"language":"en","primary_location":{"id":"doi:10.1109/iscas48785.2022.9937409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937409","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5069848169","display_name":"Ourania Spantidi","orcid":"https://orcid.org/0000-0002-3631-1607"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ourania Spantidi","raw_affiliation_strings":["NVIDIA Corporation,Seattle,U.S.A","NVIDIA Corporation, Seattle, U.S.A"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation,Seattle,U.S.A","institution_ids":[]},{"raw_affiliation_string":"NVIDIA Corporation, Seattle, U.S.A","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006912034","display_name":"Theodoros Marinakis","orcid":"https://orcid.org/0000-0002-1841-5656"},"institutions":[{"id":"https://openalex.org/I110378019","display_name":"Southern Illinois University Carbondale","ror":"https://ror.org/049kefs16","country_code":"US","type":"education","lineage":["https://openalex.org/I110378019","https://openalex.org/I2801502357"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Theodoros Marinakis","raw_affiliation_strings":["Southern Illinois University,School of Electrical, Computer and Biomedical Engineering,Carbondale,U.S.A","School of Electrical, Computer and Biomedical Engineering, Southern Illinois University, Carbondale, U.S.A"],"affiliations":[{"raw_affiliation_string":"Southern Illinois University,School of Electrical, Computer and Biomedical Engineering,Carbondale,U.S.A","institution_ids":["https://openalex.org/I110378019"]},{"raw_affiliation_string":"School of Electrical, Computer and Biomedical Engineering, Southern Illinois University, Carbondale, U.S.A","institution_ids":["https://openalex.org/I110378019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052217926","display_name":"Iraklis Anagnostopoulos","orcid":"https://orcid.org/0000-0003-0985-3045"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iraklis Anagnostopoulos","raw_affiliation_strings":["NVIDIA Corporation,Seattle,U.S.A","NVIDIA Corporation, Seattle, U.S.A"],"affiliations":[{"raw_affiliation_string":"NVIDIA Corporation,Seattle,U.S.A","institution_ids":[]},{"raw_affiliation_string":"NVIDIA Corporation, Seattle, U.S.A","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069848169"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4284,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50455005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1551","last_page":"1555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9986000061035156,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9980999827384949,"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":0.8474444150924683},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.7277859449386597},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6726343631744385},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5527318716049194},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5073930621147156},{"id":"https://openalex.org/keywords/memory-hierarchy","display_name":"Memory hierarchy","score":0.43887466192245483},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4279446005821228},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3787687420845032},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1785590946674347},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.17129552364349365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8474444150924683},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.7277859449386597},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6726343631744385},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5527318716049194},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5073930621147156},{"id":"https://openalex.org/C2778100165","wikidata":"https://www.wikidata.org/wiki/Q1589327","display_name":"Memory hierarchy","level":3,"score":0.43887466192245483},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4279446005821228},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3787687420845032},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1785590946674347},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.17129552364349365},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas48785.2022.9937409","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas48785.2022.9937409","pdf_url":null,"source":{"id":"https://openalex.org/S4363604393","display_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Circuits and Systems (ISCAS)","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":15,"referenced_works":["https://openalex.org/W1510263988","https://openalex.org/W1603623478","https://openalex.org/W1964225254","https://openalex.org/W2048589567","https://openalex.org/W2108598243","https://openalex.org/W2164348333","https://openalex.org/W2170544909","https://openalex.org/W2532201769","https://openalex.org/W2757954102","https://openalex.org/W2946098275","https://openalex.org/W2977927273","https://openalex.org/W3008756550","https://openalex.org/W3126682769","https://openalex.org/W4253824360","https://openalex.org/W6630776666"],"related_works":["https://openalex.org/W1993191611","https://openalex.org/W2023938924","https://openalex.org/W2363677236","https://openalex.org/W2918840249","https://openalex.org/W1991859582","https://openalex.org/W2110053126","https://openalex.org/W2079303253","https://openalex.org/W2104702637","https://openalex.org/W4248099758","https://openalex.org/W2979015021"],"abstract_inverted_index":{"Modern":[0],"applications":[1,51],"are":[2],"being":[3],"increasingly":[4],"demanding":[5],"in":[6,74,134],"terms":[7],"of":[8,37,43,115],"computing":[9],"capabilities,":[10],"and":[11,25,65,112,144],"high":[12],"performance":[13,63,156],"is":[14,82],"required":[15],"at":[16,55,107],"all":[17],"times.":[18],"Chip":[19],"multiprocessors":[20],"(CMPs)":[21],"comprise":[22],"multiple":[23],"cores":[24,36],"have":[26],"been":[27],"widely":[28],"employed":[29],"to":[30,53,61,89,103,131,138,146,150],"address":[31,91],"this":[32,92,96],"demand.":[33],"However,":[34],"the":[35,44,110,139],"a":[38,67,83,86],"CMP":[39],"share":[40],"several":[41],"components":[42],"memory":[45],"hierarchy":[46],"for":[47,77,85],"which":[48],"concurrent":[49],"executing":[50],"compete":[52],"access":[54],"run-time.":[56],"This":[57],"contention":[58],"can":[59,128],"lead":[60],"severe":[62],"loss":[64],"has":[66],"different":[68],"impact":[69],"on":[70],"each":[71],"application,":[72],"resulting":[73],"potential":[75],"starvation":[76],"selected":[78],"applications.":[79],"Thus,":[80],"there":[81],"need":[84],"scheduling":[87,105,126],"policy":[88,127],"efficiently":[90],"contention-induced":[93],"unfairness.":[94],"In":[95],"work,":[97],"we":[98],"utilize":[99],"matrix":[100],"reconstruction":[101],"techniques":[102],"enhance":[104],"decisions":[106],"run-time,":[108],"ensuring":[109],"fair":[111,142],"efficient":[113],"execution":[114],"any":[116],"given":[117],"application":[118],"workload.":[119],"Our":[120],"evaluation":[121],"shows":[122],"that":[123],"our":[124],"proposed":[125],"achieve":[129],"up":[130,145],"25.8%":[132],"gains":[133],"fairness":[135],"when":[136,148],"compared":[137,149],"Linux":[140],"completely":[141],"scheduler,":[143],"6.1%":[147],"another":[151],"state-of-the-art":[152],"approach,":[153],"without":[154],"inflicting":[155],"degradation.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
