{"id":"https://openalex.org/W2529859109","doi":"https://doi.org/10.1109/iiswc.2016.7581281","title":"Quantifying the performance impact of large pages on in-memory big-data workloads","display_name":"Quantifying the performance impact of large pages on in-memory big-data workloads","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2529859109","doi":"https://doi.org/10.1109/iiswc.2016.7581281","mag":"2529859109"},"language":"en","primary_location":{"id":"doi:10.1109/iiswc.2016.7581281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2016.7581281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Workload Characterization (IISWC)","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/A5025253726","display_name":"Jinsu Park","orcid":"https://orcid.org/0000-0002-4452-6157"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jinsu Park","raw_affiliation_strings":["UNIST, School of ECE"],"affiliations":[{"raw_affiliation_string":"UNIST, School of ECE","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069815062","display_name":"Myeonggyun Han","orcid":"https://orcid.org/0000-0003-1832-1032"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myeonggyun Han","raw_affiliation_strings":["UNIST, School of ECE"],"affiliations":[{"raw_affiliation_string":"UNIST, School of ECE","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071289684","display_name":"Woongki Baek","orcid":"https://orcid.org/0000-0002-1877-7307"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woongki Baek","raw_affiliation_strings":["UNIST, School of ECE"],"affiliations":[{"raw_affiliation_string":"UNIST, School of ECE","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025253726"],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":null,"apc_paid":null,"fwci":5.3079,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95789045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"8585","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9997000098228455,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9993000030517578,"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":0.8301517963409424},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7361006140708923},{"id":"https://openalex.org/keywords/virtual-memory","display_name":"Virtual memory","score":0.5780532360076904},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4848428964614868},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.4711315333843231},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4347268044948578},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35172325372695923},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.14120331406593323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8301517963409424},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7361006140708923},{"id":"https://openalex.org/C76399640","wikidata":"https://www.wikidata.org/wiki/Q189401","display_name":"Virtual memory","level":4,"score":0.5780532360076904},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4848428964614868},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4711315333843231},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4347268044948578},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35172325372695923},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.14120331406593323}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iiswc.2016.7581281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2016.7581281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Workload Characterization (IISWC)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/32786","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/32786","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1086484114","https://openalex.org/W1437641643","https://openalex.org/W1544148736","https://openalex.org/W1991452291","https://openalex.org/W1992752524","https://openalex.org/W2008441771","https://openalex.org/W2054153667","https://openalex.org/W2080048189","https://openalex.org/W2131975293","https://openalex.org/W2135384752","https://openalex.org/W2141181087","https://openalex.org/W2150478767","https://openalex.org/W2154565673","https://openalex.org/W2157802978","https://openalex.org/W2166091242","https://openalex.org/W2167889790","https://openalex.org/W2169875292","https://openalex.org/W2173213060","https://openalex.org/W2482213519","https://openalex.org/W3098310942","https://openalex.org/W3104065274","https://openalex.org/W4232416605","https://openalex.org/W4252867443","https://openalex.org/W6627141550","https://openalex.org/W6628271342"],"related_works":["https://openalex.org/W1976766385","https://openalex.org/W2078640694","https://openalex.org/W261562921","https://openalex.org/W1421493983","https://openalex.org/W4243333834","https://openalex.org/W1698699620","https://openalex.org/W71081774","https://openalex.org/W2138847","https://openalex.org/W2373327185","https://openalex.org/W2381395788"],"abstract_inverted_index":{"In-memory":[0,19],"big-data":[1,20,87,108,136,162],"processing":[2],"is":[3],"rapidly":[4],"emerging":[5],"as":[6,51,155],"a":[7,30,112],"promising":[8],"solution":[9],"for":[10,178],"large-scale":[11,113],"data":[12],"analytics":[13],"with":[14],"high-performance":[15],"and/or":[16],"real-time":[17],"requirements.":[18],"workloads":[21,88,109,137,163],"are":[22,48],"often":[23],"hosted":[24,89],"on":[25,85,90,106,111],"servers":[26],"that":[27,120,148],"consist":[28],"of":[29,60,103,159],"few":[31],"multi-core":[32],"CPUs":[33],"and":[34,63,70,165,181],"large":[35,46,104,121,140,149,179],"physical":[36],"memory,":[37],"exhibiting":[38],"the":[39,57,67,100,130,134,156,160,166,174,183],"non-uniform":[40],"memory":[41,62],"access":[42],"(NUMA)":[43],"characteristics.":[44],"While":[45],"pages":[47,105,122,132,150,180],"commonly":[49],"known":[50],"an":[52],"effective":[53],"technique":[54],"to":[55,80],"reduce":[56],"performance":[58,83,101,127,153,176,185],"overheads":[59],"virtual":[61],"widely":[64],"supported":[65],"across":[66],"modern":[68],"hardware":[69],"system":[71,168],"software":[72],"stacks,":[73],"relatively":[74],"little":[75,126],"work":[76,98],"has":[77],"been":[78],"done":[79],"investigate":[81],"their":[82],"impact":[84,102],"in-memory":[86,107,135,161],"NUMA":[91,114,167],"systems.":[92],"To":[93],"bridge":[94],"this":[95,97],"gap,":[96],"quantifies":[99],"running":[110],"system.":[115],"Our":[116],"experimental":[117,145],"results":[118,146],"show":[119,147],"provide":[123],"no":[124],"or":[125],"gains":[128,154],"over":[129],"4KB":[131],"when":[133],"process":[138],"sufficiently":[139],"datasets.":[141],"In":[142],"addition,":[143],"our":[144],"achieve":[151],"higher":[152],"dataset":[157],"size":[158],"decreases":[164],"scale":[169],"increases.":[170],"We":[171],"also":[172],"discuss":[173],"possible":[175],"optimizations":[177],"estimate":[182],"potential":[184],"improvements.":[186]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
