{"id":"https://openalex.org/W2774004322","doi":"https://doi.org/10.1109/smc.2017.8122999","title":"Intelligent clustering guided adaptive prefetching and buffer management for stream processing","display_name":"Intelligent clustering guided adaptive prefetching and buffer management for stream processing","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2774004322","doi":"https://doi.org/10.1109/smc.2017.8122999","mag":"2774004322"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8122999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5101717372","display_name":"Sung Min Lee","orcid":"https://orcid.org/0000-0003-4887-5132"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung Min Lee","raw_affiliation_strings":["Department of Computer Science Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112432219","display_name":"Young Sun Youn","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young Sun Youn","raw_affiliation_strings":["Department of Computer Science Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113831116","display_name":"Su Kyung Yoon","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Su Kyung Yoon","raw_affiliation_strings":["Department of Computer Science Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103968332","display_name":"Shin Dug Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shin Dug Kim","raw_affiliation_strings":["Department of Computer Science Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21272968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2498","last_page":"2503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9994999766349792,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9994999766349792,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"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":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8663063049316406},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.6815522909164429},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6015720367431641},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5815590620040894},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.5559337139129639},{"id":"https://openalex.org/keywords/phase-change-memory","display_name":"Phase-change memory","score":0.505760669708252},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5038759112358093},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.45169445872306824},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4222840666770935},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41657736897468567},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3511498272418976},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.229692280292511},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17487025260925293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07367366552352905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.07045522332191467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8663063049316406},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.6815522909164429},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6015720367431641},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5815590620040894},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.5559337139129639},{"id":"https://openalex.org/C64142963","wikidata":"https://www.wikidata.org/wiki/Q1153902","display_name":"Phase-change memory","level":3,"score":0.505760669708252},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5038759112358093},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.45169445872306824},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4222840666770935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41657736897468567},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3511498272418976},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.229692280292511},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17487025260925293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07367366552352905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.07045522332191467},{"id":"https://openalex.org/C133256868","wikidata":"https://www.wikidata.org/wiki/Q7180940","display_name":"Phase change","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C61696701","wikidata":"https://www.wikidata.org/wiki/Q770766","display_name":"Engineering physics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8122999","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8122999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W605455085","https://openalex.org/W1965780940","https://openalex.org/W2010801412","https://openalex.org/W2048588974","https://openalex.org/W2102617114","https://openalex.org/W2141807666","https://openalex.org/W2144133653","https://openalex.org/W2149576945","https://openalex.org/W2164128653","https://openalex.org/W2314830234","https://openalex.org/W2486439025","https://openalex.org/W2594359040","https://openalex.org/W2913854892","https://openalex.org/W4234346842","https://openalex.org/W4245015297","https://openalex.org/W6684418397"],"related_works":["https://openalex.org/W4214773815","https://openalex.org/W3204477689","https://openalex.org/W4317418912","https://openalex.org/W2082671441","https://openalex.org/W2605169415","https://openalex.org/W180351855","https://openalex.org/W2538312128","https://openalex.org/W2904574017","https://openalex.org/W3113817755","https://openalex.org/W2794178276"],"abstract_inverted_index":{"Real-time":[0],"stream":[1,43,47,63,79,95,100],"data":[2,9,101],"processing":[3,64,80],"is":[4,59,91],"required":[5],"to":[6,13,61,66,82,87,97],"handle":[7],"big":[8],"with":[10,163,184],"low":[11,118],"latency":[12,86],"process":[14,98],"a":[15,24,107],"large":[16],"amount":[17,69],"of":[18,50,70,139,173],"incessant":[19],"streaming":[20],"data.":[21],"We":[22],"propose":[23],"clustering":[25,127,151],"based":[26,128,152],"inteligent":[27],"prefetching":[28,57,153,171],"scheme":[29,172],"and":[30,121,137,150,166,176],"its":[31],"associated":[32],"DRAM-PCM":[33],"(phase":[34],"change":[35],"memory)":[36],"hybrid":[37,108,164],"memory":[38,71,109,122,165],"management":[39],"policy":[40],"especially":[41,92],"for":[42,94],"processing.":[44],"To":[45],"alleviate":[46],"processing's":[48],"burden":[49],"requests":[51],"accessing":[52],"main":[53],"memory,":[54],"an":[55],"intelligence":[56],"technique":[58],"designed":[60],"reflect":[62],"behavior":[65],"reduce":[67],"the":[68,88,99],"access":[72],"by":[73,125,159,180],"improving":[74],"buffer":[75,134,167],"hit":[76,135],"ratio.":[77],"Because":[78],"has":[81],"guarantee":[83],"relatively":[84],"small":[85],"users,":[89],"it":[90],"important":[93],"processsing":[96],"in":[102],"strict":[103],"time.":[104],"By":[105],"using":[106,126],"structure,":[110],"we":[111,131],"take":[112],"such":[113],"advantages":[114],"like":[115],"high":[116],"performance,":[117],"energy":[119,178],"consumption,":[120],"scalability.":[123],"And":[124],"smart":[129],"prefetching,":[130],"could":[132],"improve":[133,156],"rate":[136],"because":[138],"this,":[140],"overall":[141],"system":[142,157],"performance":[143,158],"can":[144,155],"be":[145],"enhanced.":[146],"Our":[147],"proposed":[148],"architecture":[149,168],"method":[154],"1.15":[160],"times,":[161,182],"compared":[162,183],"without":[169],"any":[170],"conventional":[174,187],"model":[175],"also":[177],"consumption":[179],"1.23":[181],"DRAM":[185],"only":[186],"model.":[188]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}