{"id":"https://openalex.org/W7116325875","doi":"https://doi.org/10.1145/3754598.3754616","title":"ADAPT: Dynamic Grouping and Cross-Group Aggregation for GC-Efficient Log-Structured Storage in SSD Arrays","display_name":"ADAPT: Dynamic Grouping and Cross-Group Aggregation for GC-Efficient Log-Structured Storage in SSD Arrays","publication_year":2025,"publication_date":"2025-09-08","ids":{"openalex":"https://openalex.org/W7116325875","doi":"https://doi.org/10.1145/3754598.3754616"},"language":null,"primary_location":{"id":"doi:10.1145/3754598.3754616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3754598.3754616","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106355598","display_name":"Ruisong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruisong Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120888090","display_name":"Peng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wang","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chunhua Li","orcid":"https://orcid.org/0000-0001-7403-6143"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhua Li","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ke Zhou","orcid":"https://orcid.org/0000-0002-2161-8796"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Zhou","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hui Li","orcid":"https://orcid.org/0009-0009-3728-8726"},"institutions":[{"id":"https://openalex.org/I4210144143","display_name":"Inspur (China)","ror":"https://ror.org/0474p4r72","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210144143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Li","raw_affiliation_strings":["Jinan Inspur Data Technology Co., Ltd., Jinan, China"],"affiliations":[{"raw_affiliation_string":"Jinan Inspur Data Technology Co., Ltd., Jinan, China","institution_ids":["https://openalex.org/I4210144143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5106355598"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.63264252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"352","last_page":"361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9983000159263611,"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":0.9983000159263611,"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":0.00039999998989515007,"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":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/padding","display_name":"Padding","score":0.9315999746322632},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7092000246047974},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6399999856948853},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6050999760627747},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5892999768257141},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4968000054359436},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.399399995803833},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.3555000126361847},{"id":"https://openalex.org/keywords/garbage-collection","display_name":"Garbage collection","score":0.33660000562667847}],"concepts":[{"id":"https://openalex.org/C165435473","wikidata":"https://www.wikidata.org/wiki/Q1509884","display_name":"Padding","level":2,"score":0.9315999746322632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7918999791145325},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7092000246047974},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6399999856948853},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6050999760627747},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5892999768257141},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.399399995803833},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3555000126361847},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3540000021457672},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3474999964237213},{"id":"https://openalex.org/C105122174","wikidata":"https://www.wikidata.org/wiki/Q322202","display_name":"Garbage collection","level":3,"score":0.33660000562667847},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3237999975681305},{"id":"https://openalex.org/C146152329","wikidata":"https://www.wikidata.org/wiki/Q1932543","display_name":"Data migration","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C32587265","wikidata":"https://www.wikidata.org/wiki/Q1182260","display_name":"Data deduplication","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C529754248","wikidata":"https://www.wikidata.org/wiki/Q1054772","display_name":"Data recovery","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2732999920845032}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3754598.3754616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th International Conference on Parallel Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3754598.3754616","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3754598.3754616","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 54th International Conference on Parallel Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G472998966","display_name":null,"funder_award_id":"2025M771551","funder_id":"https://openalex.org/F4320335443","funder_display_name":"Postdoctoral Research Foundation of China"},{"id":"https://openalex.org/G499089807","display_name":null,"funder_award_id":"62232007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8489799302","display_name":null,"funder_award_id":"2023YFB4502701","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335443","display_name":"Postdoctoral Research Foundation of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1931046221","https://openalex.org/W1985229168","https://openalex.org/W2006425633","https://openalex.org/W2024363956","https://openalex.org/W2063941525","https://openalex.org/W2108183412","https://openalex.org/W2125255090","https://openalex.org/W2201220957","https://openalex.org/W2945283640","https://openalex.org/W3195592481","https://openalex.org/W3207452942","https://openalex.org/W4236376897","https://openalex.org/W4309698607","https://openalex.org/W4394922750","https://openalex.org/W4401408973","https://openalex.org/W4401978254","https://openalex.org/W4404400584"],"related_works":[],"abstract_inverted_index":{"Log-structured":[0],"storage":[1,65],"(LSS)":[2],"has":[3],"been":[4],"widely":[5],"adopted":[6],"in":[7,114],"SSD-based":[8],"array":[9],"architectures":[10],"due":[11,58],"to":[12,26,59,82,117,133],"its":[13,34],"high":[14,48,165],"I/O":[15],"performance":[16],"and":[17,51,67,86,104,137,154,167],"flash-friendly":[18],"design.":[19],"However,":[20],"LSS":[21],"requires":[22],"optimized":[23],"data":[24,43,79],"placement":[25,44,80,131],"curb":[27],"the":[28,60],"write":[29],"amplification":[30],"(WA)":[31],"resulting":[32],"from":[33,47],"garbage":[35],"collection":[36],"(GC)":[37],"mechanisms.":[38],"We":[39],"reveal":[40],"that":[41,144],"existing":[42],"strategies":[45],"suffer":[46],"padding":[49,84,121,156],"overhead":[50,85,171],"redundant":[52,139],"GC":[53,135],"migrations":[54],"under":[55,160,172],"production":[56,161],"workloads":[57],"granularity":[61],"mismatch":[62],"between":[63],"log-structured":[64],"management":[66],"array-level":[68],"organization.":[69],"To":[70],"tackle":[71],"these":[72],"inefficiencies,":[73],"we":[74,126],"propose":[75],"ADAPT,":[76],"an":[77,96],"access-density-aware":[78],"strategy":[81],"decrease":[83],"minimize":[87],"WA.":[88],"ADAPT":[89,149],"separates":[90],"user-written":[91],"blocks":[92],"into":[93],"groups":[94,116],"with":[95,146],"adaptive":[97],"threshold":[98],"by":[99,152,158],"considering":[100],"workload-level":[101],"access":[102],"density":[103],"block-level":[105],"popularity.":[106],"Additionally,":[107],"cross-group":[108],"dynamic":[109],"aggregation":[110],"exploits":[111],"unused":[112],"space":[113],"cold":[115],"optimize":[118],"real-time":[119],"block":[120],"for":[122],"hot":[123],"data.":[124],"Moreover,":[125],"deploy":[127],"a":[128],"proactive":[129],"demotion":[130],"algorithm":[132],"coordinate":[134],"processes":[136],"eliminate":[138],"migrations.":[140],"Experimental":[141],"evaluations":[142],"demonstrate":[143],"compared":[145],"state-of-the-art":[147],"approaches,":[148],"lowers":[150],"WA":[151],"21.8%-46.3%":[153],"decreases":[155],"traffic":[157],"40%-72.1%":[159],"workloads,":[162],"while":[163],"delivering":[164],"throughput":[166],"maintaining":[168],"manageable":[169],"memory":[170],"heavy":[173],"workloads.":[174]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-12-21T00:00:00"}
