{"id":"https://openalex.org/W2559513690","doi":"https://doi.org/10.1109/hpec.2016.7761648","title":"Cross-engine query execution in federated database systems","display_name":"Cross-engine query execution in federated database systems","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2559513690","doi":"https://doi.org/10.1109/hpec.2016.7761648","mag":"2559513690"},"language":"en","primary_location":{"id":"doi:10.1109/hpec.2016.7761648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2016.7761648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE High Performance Extreme Computing Conference (HPEC)","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/A5087124712","display_name":"Ankush M. Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ankush M. Gupta","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043450560","display_name":"Vijay Gadepally","orcid":"https://orcid.org/0000-0002-4598-2808"},"institutions":[{"id":"https://openalex.org/I4210122954","display_name":"MIT Lincoln Laboratory","ror":"https://ror.org/022z6jk58","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210122954","https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Gadepally","raw_affiliation_strings":["MIT CSAIL","MIT Lincoln Laboratory"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]},{"raw_affiliation_string":"MIT Lincoln Laboratory","institution_ids":["https://openalex.org/I4210122954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074724644","display_name":"Michael Stonebraker","orcid":"https://orcid.org/0000-0001-9184-9058"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael Stonebraker","raw_affiliation_strings":["MIT CSAIL"],"affiliations":[{"raw_affiliation_string":"MIT CSAIL","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087124712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.764,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93909019,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998000264167786,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9912999868392944,"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/computer-science","display_name":"Computer science","score":0.8555020689964294},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.5935745239257812},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.563427209854126},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5336074829101562},{"id":"https://openalex.org/keywords/database-tuning","display_name":"Database tuning","score":0.4794386923313141},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.44757843017578125},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.42764365673065186},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.41420426964759827},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37546783685684204},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.2599927484989166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8555020689964294},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.5935745239257812},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.563427209854126},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5336074829101562},{"id":"https://openalex.org/C107535962","wikidata":"https://www.wikidata.org/wiki/Q2459880","display_name":"Database tuning","level":4,"score":0.4794386923313141},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.44757843017578125},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.42764365673065186},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.41420426964759827},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37546783685684204},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.2599927484989166}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec.2016.7761648","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec.2016.7761648","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W31634058","https://openalex.org/W1984291101","https://openalex.org/W1999119023","https://openalex.org/W2001474264","https://openalex.org/W2011129635","https://openalex.org/W2046788142","https://openalex.org/W2084792706","https://openalex.org/W2086906616","https://openalex.org/W2155070484","https://openalex.org/W2187405563","https://openalex.org/W2260616469","https://openalex.org/W2292449291","https://openalex.org/W2558046195","https://openalex.org/W2558678786","https://openalex.org/W2558840806","https://openalex.org/W3102613430","https://openalex.org/W3103485592","https://openalex.org/W3104265093","https://openalex.org/W4237421257","https://openalex.org/W6686576923","https://openalex.org/W6785432261","https://openalex.org/W6785865135"],"related_works":["https://openalex.org/W2572349046","https://openalex.org/W2406556739","https://openalex.org/W2186703450","https://openalex.org/W3125756434","https://openalex.org/W2970853428","https://openalex.org/W4381740310","https://openalex.org/W2392024817","https://openalex.org/W2170892047","https://openalex.org/W593568423","https://openalex.org/W2368359320"],"abstract_inverted_index":{"We":[0],"have":[1],"developed":[2],"a":[3,10,59,65],"reference":[4],"implementation":[5,82],"of":[6,57,85,106,114],"the":[7,20,81,86,99],"BigDAWG":[8,100],"system:":[9],"new":[11],"architecture":[12],"for":[13,34,39],"future":[14],"Big":[15],"Data":[16],"applications,":[17],"guided":[18],"by":[19],"philosophy":[21],"that":[22],"\u201cone":[23],"size":[24],"does":[25],"not":[26,31],"fit":[27],"all\u201d.":[28],"Such":[29],"applications":[30],"only":[32],"call":[33],"large-scale":[35],"analytics,":[36],"but":[37],"also":[38],"real-time":[40],"streaming":[41],"support,":[42],"smaller":[43],"analytics":[44],"at":[45],"interactive":[46],"speeds,":[47],"data":[48,69,115],"visualization,":[49],"and":[50,55,83,102],"cross-storage-system":[51],"queries.":[52],"The":[53],"importance":[54],"effectiveness":[56],"such":[58],"system":[60],"has":[61],"been":[62],"demonstrated":[63],"in":[64],"hospital":[66],"application":[67],"using":[68],"from":[70],"an":[71],"intensive":[72],"care":[73],"unit":[74],"(ICU).":[75],"In":[76,90],"this":[77],"article,":[78],"we":[79,92],"describe":[80],"evaluation":[84],"cross-system":[87],"Query":[88],"Executor.":[89],"particular,":[91],"focus":[93],"on":[94],"cross-engine":[95],"shuffle":[96],"joins":[97],"within":[98],"system,":[101],"evaluate":[103],"various":[104],"strategies":[105],"computing":[107],"them":[108],"when":[109],"faced":[110],"with":[111],"varying":[112],"degrees":[113],"skew.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}