{"id":"https://openalex.org/W4321448315","doi":"https://doi.org/10.14778/3574245.3574272","title":"SkinnerMT","display_name":"SkinnerMT","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4321448315","doi":"https://doi.org/10.14778/3574245.3574272"},"language":"en","primary_location":{"id":"doi:10.14778/3574245.3574272","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3574245.3574272","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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":"https://openalex.org/A5063688219","display_name":"Ziyun Wei","orcid":"https://orcid.org/0009-0002-4525-9246"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ziyun Wei","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087259526","display_name":"Immanuel Trummer","orcid":"https://orcid.org/0000-0002-7203-2349"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Immanuel Trummer","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063688219"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.7429,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.69998315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"4","first_page":"905","last_page":"917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9997000098228455,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.876238226890564},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7072415947914124},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6826311945915222},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6504257917404175},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.6089990139007568},{"id":"https://openalex.org/keywords/parallel-processing","display_name":"Parallel processing","score":0.47793012857437134},{"id":"https://openalex.org/keywords/parallel-database","display_name":"Parallel database","score":0.44385677576065063},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4374653398990631},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.42156556248664856},{"id":"https://openalex.org/keywords/massively-parallel","display_name":"Massively parallel","score":0.41741782426834106},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3560062050819397},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22097188234329224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.876238226890564},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7072415947914124},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6826311945915222},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6504257917404175},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.6089990139007568},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.47793012857437134},{"id":"https://openalex.org/C2777541480","wikidata":"https://www.wikidata.org/wiki/Q2051600","display_name":"Parallel database","level":2,"score":0.44385677576065063},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4374653398990631},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.42156556248664856},{"id":"https://openalex.org/C190475519","wikidata":"https://www.wikidata.org/wiki/Q544384","display_name":"Massively parallel","level":2,"score":0.41741782426834106},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3560062050819397},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22097188234329224},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3574245.3574272","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3574245.3574272","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1556146035","https://openalex.org/W1625390266","https://openalex.org/W1987238352","https://openalex.org/W2003515726","https://openalex.org/W2026831152","https://openalex.org/W2041226866","https://openalex.org/W2046167302","https://openalex.org/W2058219274","https://openalex.org/W2080427212","https://openalex.org/W2097363087","https://openalex.org/W2132244350","https://openalex.org/W2143452574","https://openalex.org/W2145676903","https://openalex.org/W2150304332","https://openalex.org/W2153329411","https://openalex.org/W2164645353","https://openalex.org/W2165990006","https://openalex.org/W2171147420","https://openalex.org/W2259817977","https://openalex.org/W2396309311","https://openalex.org/W2401576518","https://openalex.org/W2421547754","https://openalex.org/W2579029018","https://openalex.org/W2777733174","https://openalex.org/W2790625403","https://openalex.org/W2889503624","https://openalex.org/W2946026089","https://openalex.org/W2963853546","https://openalex.org/W3029327553","https://openalex.org/W3099158806","https://openalex.org/W3100725368","https://openalex.org/W3100925961","https://openalex.org/W3140053261","https://openalex.org/W4206606839","https://openalex.org/W4233762723","https://openalex.org/W4281754544","https://openalex.org/W4281846653","https://openalex.org/W4321448315"],"related_works":["https://openalex.org/W1943306263","https://openalex.org/W2136856495","https://openalex.org/W2090758225","https://openalex.org/W2102735377","https://openalex.org/W2154741861","https://openalex.org/W1998817374","https://openalex.org/W2969260674","https://openalex.org/W1976665174","https://openalex.org/W2109900281","https://openalex.org/W2113313004"],"abstract_inverted_index":{"SkinnerMT":[0,11,31,55,75,86,123,139],"is":[1,65,124,131],"an":[2],"adaptive":[3,136],"query":[4,38,129],"processing":[5,17,58,89,107,137],"engine,":[6],"specialized":[7],"for":[8,15,126],"multi-core":[9],"platforms.":[10],"features":[12],"different":[13],"strategies":[14,34],"parallel":[16,61,92,101,106],"that":[18,35,100],"allow":[19],"users":[20],"to":[21,46,67,72,119,134],"trade":[22],"between":[23],"average":[24],"run":[25],"time":[26],"and":[27,51],"performance":[28],"robustness.":[29,53],"First,":[30],"supports":[32,56,87],"execution":[33],"execute":[36],"multiple":[37],"plans":[39,49],"in":[40],"parallel,":[41],"thereby":[42],"reducing":[43],"the":[44,68],"risk":[45],"find":[47],"near-optimal":[48],"late":[50],"improving":[52],"Second,":[54],"data-parallel":[57,95],"strategies.":[59],"Its":[60],"multi-way":[62],"join":[63],"algorithm":[64],"sensitive":[66],"assignment":[69],"from":[70,116],"tuples":[71],"threads.":[73],"Here,":[74],"uses":[76],"a":[77],"cost-based":[78],"optimization":[79,130],"strategy,":[80],"based":[81],"on":[82],"runtime":[83],"feedback.":[84],"Finally,":[85],"hybrid":[88,112],"methods,":[90],"mixing":[91],"search":[93,102],"with":[94],"processing.":[96],"The":[97,111],"experiments":[98],"show":[99],"increases":[103,108],"robustness":[104],"while":[105],"average-case":[109],"performance.":[110],"approach":[113],"combines":[114],"advantages":[115],"both.":[117],"Compared":[118,133],"traditional":[120],"database":[121],"systems,":[122],"preferable":[125],"benchmarks":[127],"where":[128],"hard.":[132],"prior":[135],"baselines,":[138],"exploits":[140],"parallelism":[141],"better.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-02-22T00:00:00"}