{"id":"https://openalex.org/W7103997409","doi":"https://doi.org/10.1109/tc.2025.3628340","title":"eCache: A Sample-Inference-Based Intelligent Cache Scheme for High-Performance SSDs","display_name":"eCache: A Sample-Inference-Based Intelligent Cache Scheme for High-Performance SSDs","publication_year":2025,"publication_date":"2025-11-05","ids":{"openalex":"https://openalex.org/W7103997409","doi":"https://doi.org/10.1109/tc.2025.3628340"},"language":null,"primary_location":{"id":"doi:10.1109/tc.2025.3628340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2025.3628340","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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":null,"display_name":"Hui Sun","orcid":"https://orcid.org/0000-0003-1811-1318"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hui Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yinan Fu","orcid":"https://orcid.org/0009-0003-3334-1434"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Fu","raw_affiliation_strings":["Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Wang","orcid":"https://orcid.org/0009-0009-2898-6944"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Anhui University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi Zhou","orcid":"https://orcid.org/0000-0002-1460-322X"},"institutions":[{"id":"https://openalex.org/I199172307","display_name":"Columbus State University","ror":"https://ror.org/002nf6z37","country_code":"US","type":"education","lineage":["https://openalex.org/I199172307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Zhou","raw_affiliation_strings":["TSYS School of Computer Science, Columbus State University, Columbus, GA, USA"],"affiliations":[{"raw_affiliation_string":"TSYS School of Computer Science, Columbus State University, Columbus, GA, USA","institution_ids":["https://openalex.org/I199172307"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xiao Qin","orcid":"https://orcid.org/0000-0002-8345-3587"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Qin","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58938312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":"2","first_page":"582","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9961000084877014,"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":0.9961000084877014,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.0007999999797903001,"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/T11478","display_name":"Caching and Content Delivery","score":0.0003000000142492354,"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/cache","display_name":"Cache","score":0.9186000227928162},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.7746999859809875},{"id":"https://openalex.org/keywords/cache-invalidation","display_name":"Cache invalidation","score":0.7522000074386597},{"id":"https://openalex.org/keywords/smart-cache","display_name":"Smart Cache","score":0.7249000072479248},{"id":"https://openalex.org/keywords/cache-pollution","display_name":"Cache pollution","score":0.6517999768257141},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6096000075340271},{"id":"https://openalex.org/keywords/cache-coloring","display_name":"Cache coloring","score":0.6051999926567078},{"id":"https://openalex.org/keywords/cache-oblivious-algorithm","display_name":"Cache-oblivious algorithm","score":0.5110999941825867}],"concepts":[{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.9186000227928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8787999749183655},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.7746999859809875},{"id":"https://openalex.org/C25536678","wikidata":"https://www.wikidata.org/wiki/Q5015977","display_name":"Cache invalidation","level":5,"score":0.7522000074386597},{"id":"https://openalex.org/C167713795","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"Smart Cache","level":5,"score":0.7249000072479248},{"id":"https://openalex.org/C113166858","wikidata":"https://www.wikidata.org/wiki/Q5015981","display_name":"Cache pollution","level":5,"score":0.6517999768257141},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6096000075340271},{"id":"https://openalex.org/C201148951","wikidata":"https://www.wikidata.org/wiki/Q5015976","display_name":"Cache coloring","level":4,"score":0.6051999926567078},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5523999929428101},{"id":"https://openalex.org/C59687516","wikidata":"https://www.wikidata.org/wiki/Q5015938","display_name":"Cache-oblivious algorithm","level":5,"score":0.5110999941825867},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.4896000027656555},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C36340418","wikidata":"https://www.wikidata.org/wiki/Q7124288","display_name":"Page cache","level":5,"score":0.46619999408721924},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4560000002384186},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3896999955177307},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.335099995136261},{"id":"https://openalex.org/C120936851","wikidata":"https://www.wikidata.org/wiki/Q1408065","display_name":"MESI protocol","level":5,"score":0.311599999666214},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C51185590","wikidata":"https://www.wikidata.org/wiki/Q1017228","display_name":"Bus sniffing","level":5,"score":0.28769999742507935},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2596000134944916},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2025.3628340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2025.3628340","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6781061887741089}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1984936762","https://openalex.org/W1985573567","https://openalex.org/W1987225815","https://openalex.org/W2051435086","https://openalex.org/W2153819496","https://openalex.org/W2346532327","https://openalex.org/W2418386087","https://openalex.org/W2614464719","https://openalex.org/W2786276604","https://openalex.org/W2887303627","https://openalex.org/W2899127256","https://openalex.org/W3036262809","https://openalex.org/W3124976739","https://openalex.org/W3189215380","https://openalex.org/W3203393716","https://openalex.org/W3203954291","https://openalex.org/W3205896585","https://openalex.org/W4200042572","https://openalex.org/W4230107665","https://openalex.org/W4280568735","https://openalex.org/W4296913489","https://openalex.org/W4361987600","https://openalex.org/W4376276177","https://openalex.org/W4394596035","https://openalex.org/W4398226095","https://openalex.org/W4404102602"],"related_works":[],"abstract_inverted_index":{"DRAM-based":[0],"cache":[1,18,31,36,44,65,70,77,146,197,216,240],"is":[2],"a":[3,43,152,167],"practical":[4],"approach":[5],"to":[6,14,57,114,155,227,249],"enhancing":[7],"the":[8,24,35,81,128,140,145,157,174,187,214,221,238],"performance":[9,41],"of":[10,27,83,94,132,142,233,255],"large-capacity":[11],"SSDs.":[12,73],"Due":[13],"DRAM\u2019s":[15],"limited":[16],"capacity,":[17],"sizes":[19],"are":[20,112],"significantly":[21,219],"smaller":[22],"than":[23],"data":[25,84],"scale":[26],"workloads":[28],"\u2013":[29,86,93,123],"and":[30,39,90,101,192,205],"replacement":[32,66],"schemes":[33,71,78,198],"determine":[34],"hit":[37],"ratio":[38],"SSD":[40,105,189],"when":[42],"reaches":[45],"full":[46],"capacity.":[47],"Prior":[48],"work":[49],"embarked":[50],"on":[51,104,186],"leveraging":[52],"machine":[53],"learning":[54],"models":[55],"(ML)":[56],"predict":[58],"future":[59,129],"access":[60],"patterns":[61],"in":[62],"workloads,":[63],"aiding":[64],"decisions":[67],"for":[68,144,166],"intelligent":[69,118],"inside":[72],"Unfortunately,":[74],"existing":[75],"ML-based":[76],"often":[79],"overlook":[80],"impacts":[82],"granularity":[85],"including":[87],"page,":[88],"request,":[89],"coarse":[91],"granularities":[92],"training":[95],"datasets,":[96],"model":[97,162,177],"inference":[98,170],"time":[99,158,224],"overhead,":[100],"computational":[102,180,245],"overhead":[103,159,246],"performance.":[106],"To":[107],"address":[108],"these":[109],"challenges,":[110],"we":[111,150,183],"motivated":[113],"propose":[115],"an":[116,230,252],"sample-inference-based":[117],"<italic":[119],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[120,200],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">cache</i>":[121],"scheme":[122],"eCache.":[124],"eCache":[125,185,218,242],"accurately":[126],"predicts":[127],"reuse":[130],"distance":[131],"each":[133],"sampled":[134],"requested":[135],"pages,":[136],"which":[137],"can":[138],"enhance":[139],"accuracy":[141],"decision-making":[143],"replacement.":[147],"In":[148],"particular,":[149],"design":[151],"parallel":[153],"framework":[154],"curb":[156],"caused":[160],"by":[161,225,247],"inference.":[163],"We":[164],"advocate":[165],"random-group":[168],"sampling":[169],"method":[171],"that":[172,211],"utilizes":[173],"most":[175],"accurate":[176],"while":[178],"reducing":[179],"overhead.":[181],"Moreover,":[182],"implement":[184],"state-of-the-art":[188],"simulator,":[190],"MQSim,":[191],"compare":[193],"it":[194],"against":[195],"alternative":[196],"(<italic":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">i.e.</i>,":[201],"CCache,":[202],"NCache,":[203],"LAC,":[204],"VS-batch).":[206],"The":[207],"experimental":[208],"results":[209],"unveil":[210],"compared":[212,236],"with":[213,229,237,251],"other":[215],"schemes,":[217,241],"reduces":[220],"average":[222,231,253],"response":[223],"up":[226,248],"79.68%":[228],"reduction":[232,254],"44.08%.":[234],"When":[235],"page-granularity-ML-empowered":[239],"greatly":[243],"curtails":[244],"85.23%":[250],"66.00%.":[256]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-06T00:00:00"}