{"id":"https://openalex.org/W3013259571","doi":"https://doi.org/10.1109/asp-dac47756.2020.9045617","title":"Towards Read-Intensive Key-Value Stores with Tidal Structure Based on LSM-Tree","display_name":"Towards Read-Intensive Key-Value Stores with Tidal Structure Based on LSM-Tree","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013259571","doi":"https://doi.org/10.1109/asp-dac47756.2020.9045617","mag":"3013259571"},"language":"en","primary_location":{"id":"doi:10.1109/asp-dac47756.2020.9045617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac47756.2020.9045617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100364961","display_name":"Yi Wang","orcid":"https://orcid.org/0000-0002-5773-3817"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061158039","display_name":"Shang-Yu Wu","orcid":"https://orcid.org/0000-0002-1961-143X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangyu Wu","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101724957","display_name":"Rui Mao","orcid":"https://orcid.org/0000-0002-3645-5520"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Mao","raw_affiliation_strings":["The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.9368,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6833368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"307","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T11478","display_name":"Caching and Content Delivery","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/T11614","display_name":"Cloud Data Security Solutions","score":0.9907000064849854,"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/key","display_name":"Key (lock)","score":0.7168644070625305},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6003860235214233},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5907291769981384},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4729444980621338},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1767290234565735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16930124163627625},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0617159903049469},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.04957139492034912}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.7168644070625305},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6003860235214233},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5907291769981384},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4729444980621338},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1767290234565735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16930124163627625},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0617159903049469},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.04957139492034912}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asp-dac47756.2020.9045617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asp-dac47756.2020.9045617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1533567700","https://openalex.org/W1981420413","https://openalex.org/W1985229168","https://openalex.org/W2068739275","https://openalex.org/W2150013559","https://openalex.org/W2155256331","https://openalex.org/W2267406438","https://openalex.org/W2735400990","https://openalex.org/W2759027646","https://openalex.org/W2764131694","https://openalex.org/W2770617898","https://openalex.org/W2886669088","https://openalex.org/W2887776198","https://openalex.org/W2892777373","https://openalex.org/W6693436320","https://openalex.org/W6753825153","https://openalex.org/W6753997104","https://openalex.org/W6983205581"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Key-value":[0],"store":[1,19],"has":[2],"played":[3],"a":[4,35,47,54,95,140,157],"critical":[5],"role":[6],"in":[7,49,61,66,113],"many":[8],"large-scale":[9],"data":[10,97,100],"storage":[11],"applications.":[12],"The":[13,57,69,166],"log-structured":[14],"merge-tree":[15],"(LSM-tree)":[16],"based":[17,78],"key-value":[18],"achieves":[20],"excellent":[21],"performance":[22,152],"on":[23,79],"write-intensive":[24],"workloads":[25,51],"which":[26,52],"is":[27,72],"mainly":[28],"benefited":[29],"from":[30,164],"the":[31,62,80,122,151],"mechanism":[32,65],"of":[33,37,124,153,159],"converting":[34],"batch":[36],"random":[38],"writes":[39],"into":[40,139],"sequential":[41],"writes.":[42],"However,":[43],"LSM-tree":[44,67,82,103,125,138],"doesn't":[45],"improve":[46,85,174],"lot":[48],"read-intensive":[50,114],"takes":[53],"higher":[55,129],"latency.":[56,134],"main":[58],"reason":[59],"lies":[60],"hierarchical":[63],"search":[64],"structure.":[68],"key":[70],"challenge":[71],"how":[73],"to":[74,84,126,128,143],"propose":[75],"new":[76],"strategies":[77],"existing":[81],"structure":[83,98],"read":[86,90,111,133,175,179],"efficiency":[87,112,176],"and":[88,177],"reduce":[89,178],"amplifications.This":[91],"paper":[92],"proposes":[93],"Tidal-tree,":[94,154],"novel":[96],"where":[99],"flows":[101],"inside":[102],"like":[104],"Tidal":[105],"waves.":[106],"Tidal-tree":[107,116,135,171],"targets":[108],"at":[109,121],"improving":[110],"workloads.":[115,148],"allows":[117],"frequently":[118],"accessed":[119],"files":[120],"bottom":[123],"move":[127],"positions,":[130],"thereby":[131],"reducing":[132],"also":[136],"makes":[137],"variable":[141],"shape":[142],"cater":[144],"for":[145],"different":[146],"characteristic":[147],"To":[149],"evaluate":[150],"we":[155],"conduct":[156],"series":[158],"experiments":[160],"using":[161],"standard":[162],"benchmarks":[163],"YCSB.":[165],"experimental":[167],"results":[168],"show":[169],"that":[170],"can":[172],"significantly":[173],"amplifications":[180],"compared":[181],"with":[182],"representative":[183],"schemes.":[184]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
