{"id":"https://openalex.org/W4406460507","doi":"https://doi.org/10.1109/bigdata62323.2024.10825523","title":"Scalable Big Spatial Data Processing with SQL Query Compilation and Distributed Morsel-driven Parallelism","display_name":"Scalable Big Spatial Data Processing with SQL Query Compilation and Distributed Morsel-driven Parallelism","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406460507","doi":"https://doi.org/10.1109/bigdata62323.2024.10825523"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","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/A5114746952","display_name":"Rahul Sahni","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Rahul Sahni","raw_affiliation_strings":["University of New Brunswick,Fredericton,Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101826189","display_name":"Xiaozheng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaozheng Zhang","raw_affiliation_strings":["University of New Brunswick,Fredericton,Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030313893","display_name":"Sudip Chatterjee","orcid":"https://orcid.org/0009-0008-4523-1941"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sudip Chatterjee","raw_affiliation_strings":["University of New Brunswick,Fredericton,Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009118014","display_name":"Suprio Ray","orcid":"https://orcid.org/0000-0003-0681-9685"},"institutions":[{"id":"https://openalex.org/I106938459","display_name":"University of New Brunswick","ror":"https://ror.org/05nkf0n29","country_code":"CA","type":"education","lineage":["https://openalex.org/I106938459"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Suprio Ray","raw_affiliation_strings":["University of New Brunswick,Fredericton,Canada"],"affiliations":[{"raw_affiliation_string":"University of New Brunswick,Fredericton,Canada","institution_ids":["https://openalex.org/I106938459"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114746952"],"corresponding_institution_ids":["https://openalex.org/I106938459"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29360745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"302","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9939000010490417,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9922999739646912,"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":0.8767069578170776},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6950504779815674},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.6603460907936096},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5981847643852234},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.5558133721351624},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.5195132493972778},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.49887585639953613},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.485200434923172},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.46011123061180115},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4385959208011627},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.42304667830467224},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3796854019165039},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.33682551980018616},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.18907573819160461},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.18159520626068115},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.16911247372627258},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.08107686042785645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8767069578170776},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6950504779815674},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.6603460907936096},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5981847643852234},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.5558133721351624},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.5195132493972778},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.49887585639953613},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.485200434923172},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.46011123061180115},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4385959208011627},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.42304667830467224},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3796854019165039},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.33682551980018616},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.18907573819160461},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.18159520626068115},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.16911247372627258},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.08107686042785645}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1505133516","https://openalex.org/W1568832590","https://openalex.org/W2044105912","https://openalex.org/W2099035968","https://openalex.org/W2105079611","https://openalex.org/W2106771621","https://openalex.org/W2112491581","https://openalex.org/W2115583184","https://openalex.org/W2133695315","https://openalex.org/W2136195851","https://openalex.org/W2155651153","https://openalex.org/W2156935376","https://openalex.org/W2189465200","https://openalex.org/W2436533802","https://openalex.org/W2593167524","https://openalex.org/W2889201433","https://openalex.org/W2897711619","https://openalex.org/W2968076131","https://openalex.org/W3010188954","https://openalex.org/W3032100144","https://openalex.org/W4237492115","https://openalex.org/W4291713239","https://openalex.org/W4313152108","https://openalex.org/W4404612136","https://openalex.org/W6683066674","https://openalex.org/W6687322159","https://openalex.org/W6734507687"],"related_works":["https://openalex.org/W319014924","https://openalex.org/W2152149667","https://openalex.org/W2554271401","https://openalex.org/W1003283331","https://openalex.org/W2406556739","https://openalex.org/W2970853428","https://openalex.org/W4244527061","https://openalex.org/W2161787409","https://openalex.org/W2353434938","https://openalex.org/W1977383094"],"abstract_inverted_index":{"The":[0,90,134],"rapid":[1],"rise":[2],"in":[3,167],"spatial":[4,12,21,59,86,164,186,201],"data":[5,13,60,203],"volumes":[6,52],"from":[7,98],"diverse":[8],"sources":[9],"necessitate":[10],"efficient":[11,48],"processing":[14,35,50,61,111],"capability.":[15],"Although":[16],"most":[17],"relational":[18,32,210],"databases":[19],"support":[20,84,94],"extensions":[22],"of":[23,42,53,57,101,175,185],"SQL":[24,87,95,109,123],"query":[25,34,43,88,110,117,124,132,165,187],"features,":[26],"they":[27],"offer":[28],"limited":[29,81],"scalability.":[30],"Traditional":[31],"database":[33,211],"follows":[36,114],"a":[37,106,115,122,142,168,183,199],"pull-based":[38,103],"(or":[39],"tuple-at-a-time)":[40],"model":[41],"processing.":[44],"This":[45],"is":[46,137],"not":[47],"for":[49,85,162],"large":[51],"data.":[54],"A":[55],"number":[56,184],"specialized":[58],"systems":[62,77,92],"were":[63],"developed":[64],"that":[65,93,120,192],"extend":[66],"cluster":[67],"computing":[68],"frameworks,":[69],"such":[70],"as":[71],"Spark":[72],"and":[73,125,139,207],"Hadoop.":[74],"However,":[75],"these":[76],"are":[78],"characterized":[79],"by":[80],"or":[82],"no":[83],"execution.":[89],"few":[91],"querying,":[96],"suffer":[97],"the":[99,102,150],"overheads":[100],"model.We":[104],"present":[105],"compilation-based":[107],"distributed":[108,127,143,169,208],"system.":[112],"It":[113],"data-centric":[116],"compilation":[118],"approach":[119],"takes":[121],"generates":[126],"C++":[128],"(UPC++)":[129],"based":[130,148],"physical":[131],"plans.":[133],"generated":[135],"code":[136],"compiled":[138],"executed":[140],"on":[141,149,182],"in-memory":[144],"high":[145],"performance":[146],"framework":[147],"Partitioned":[151],"Global":[152],"Address":[153],"Space":[154],"(PGAS)":[155],"paradigm.":[156],"We":[157,171],"also":[158],"introduce":[159],"morsel-driven":[160],"parallelism":[161],"scalable":[163],"execution":[166],"runtime.":[170],"conduct":[172],"experimental":[173],"evaluation":[174],"our":[176,193],"system":[177,194,204],"with":[178],"two":[179],"real-world":[180],"datasets":[181],"workloads.":[188],"Experimental":[189],"results":[190],"demonstrate":[191],"performs":[195],"significantly":[196],"better":[197],"than":[198],"leading":[200],"big":[202],"Apache":[205],"Sedona":[206],"parallel":[209],"Citus.":[212]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}