{"id":"https://openalex.org/W2068158423","doi":"https://doi.org/10.1109/bigdata.2013.6691580","title":"A selective checkpointing mechanism for query plans in a parallel database system","display_name":"A selective checkpointing mechanism for query plans in a parallel database system","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2068158423","doi":"https://doi.org/10.1109/bigdata.2013.6691580","mag":"2068158423"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","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/A5100443164","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0001-6071-7896"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["The University of Tokyo","Univ. of Tokyo, Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Univ. of Tokyo, Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009359355","display_name":"Kenjiro Taura","orcid":"https://orcid.org/0000-0001-5224-382X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenjiro Taura","raw_affiliation_strings":["The University of Tokyo","Univ. of Tokyo, Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Univ. of Tokyo, Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"237","last_page":"245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","score":0.9995999932289124,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9995999932289124,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"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":0.8818631172180176},{"id":"https://openalex.org/keywords/query-plan","display_name":"Query plan","score":0.7186038494110107},{"id":"https://openalex.org/keywords/materialized-view","display_name":"Materialized view","score":0.6135022640228271},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5839086174964905},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5557950139045715},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5414085984230042},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.5309901833534241},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5037819743156433},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.49761512875556946},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.4966002106666565},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.47039660811424255},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4655941426753998},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4624156951904297},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4528059959411621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2650115489959717},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.2331676483154297},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.18765217065811157},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.17617788910865784},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.15415066480636597},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1301308274269104},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.0902327299118042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8818631172180176},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.7186038494110107},{"id":"https://openalex.org/C98199447","wikidata":"https://www.wikidata.org/wiki/Q2445044","display_name":"Materialized view","level":4,"score":0.6135022640228271},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5839086174964905},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5557950139045715},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5414085984230042},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.5309901833534241},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5037819743156433},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.49761512875556946},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.4966002106666565},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.47039660811424255},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4655941426753998},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4624156951904297},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4528059959411621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2650115489959717},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.2331676483154297},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.18765217065811157},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.17617788910865784},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.15415066480636597},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1301308274269104},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0902327299118042},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2013.6691580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Big Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W197139435","https://openalex.org/W1598064945","https://openalex.org/W1997020216","https://openalex.org/W2025405461","https://openalex.org/W2026427349","https://openalex.org/W2090673017","https://openalex.org/W2098935637","https://openalex.org/W2101293592","https://openalex.org/W2110086534","https://openalex.org/W2125775320","https://openalex.org/W2134445149","https://openalex.org/W2154513453","https://openalex.org/W2173213060","https://openalex.org/W2912230285","https://openalex.org/W2912802084","https://openalex.org/W4247159861","https://openalex.org/W6673498175","https://openalex.org/W6758383543"],"related_works":["https://openalex.org/W1988774479","https://openalex.org/W2123931473","https://openalex.org/W1799555191","https://openalex.org/W3012397820","https://openalex.org/W2382658894","https://openalex.org/W2791024100","https://openalex.org/W4312096174","https://openalex.org/W195952546","https://openalex.org/W2122928210","https://openalex.org/W2549774162"],"abstract_inverted_index":{"Most":[0],"existing":[1],"parallel":[2,178],"database":[3,179],"systems":[4],"achieve":[5],"fault":[6],"tolerance":[7],"by":[8,66,236],"aborting":[9],"unfinished":[10],"queries":[11,28,54,197],"upon":[12,60],"a":[13,39,67,88,110,119,124,132,139,158,176,185,240,248],"failure":[14,126],"and":[15,194,225],"restart":[16],"the":[17,20,45,58,83,100,104,115,143,148,165,209,232],"entire":[18],"from":[19,55],"beginning.":[21],"This":[22],"is":[23,64,85,135,173],"inefficient":[24],"for":[25,128],"long":[26],"running":[27],"of":[29,47,57,69,82,90,103,118,212],"OLAP":[30],"workloads.":[31],"To":[32],"solve":[33],"this":[34,36],"problem,":[35],"paper":[37],"presents":[38],"selective":[40,215],"checkpointing":[41,216],"mechanism":[42,84,172,217,238],"which":[43,73,183],"materializes":[44],"outputs":[46,93],"some":[48],"necessary":[49],"operators,":[50,164],"enabling":[51],"to":[52,86,98,113,137,142,188,222],"resume":[53],"middle":[56],"execution":[59],"failures.":[61],"Each":[62],"query":[63,121,149,160],"represented":[65],"DAG":[68],"relational":[70],"operators":[71,91,221],"in":[72,168,175],"data":[74],"are":[75,94],"typically":[76],"pipelined":[77],"between":[78],"operators.":[79],"The":[80,145,171,200],"goal":[81],"find":[87,138],"set":[89],"whose":[92],"worth":[95],"being":[96],"checkpointed":[97,224],"minimize":[99],"expected":[101,116],"runtime":[102,117],"whole":[105,120],"query.":[106],"It":[107],"firstly":[108],"provides":[109,184],"cost":[111],"model":[112],"estimate":[114],"plan":[122,150,161],"under":[123],"given":[125,159],"probability":[127],"each":[129],"operator.":[130],"Then":[131],"divide-and-conquer":[133,233],"algorithm":[134,146,166,234],"proposed":[136],"close-to-optimal":[140],"solution":[141],"problem.":[144],"divides":[147],"into":[151],"subplans":[152],"with":[153,162],"smaller":[154,241],"search":[155],"spaces.":[156],"For":[157],"n":[163],"runs":[167],"O(n)":[169],"time.":[170],"implemented":[174],"shared-nothing":[177],"system":[180],"called":[181],"ParaLite":[182],"coordination":[186],"layer":[187],"glue":[189],"many":[190],"SQLite":[191],"instances":[192],"together,":[193],"parallelizes":[195],"SQL":[196],"across":[198],"them.":[199],"experimental":[201],"results":[202],"indicate":[203],"that":[204],"different":[205],"fault-tolerant":[206,228],"strategies":[207],"affect":[208],"overall":[210],"runtimes":[211],"queries.":[213],"Our":[214],"can":[218],"choose":[219],"reasonable":[220],"be":[223],"outperforms":[226],"other":[227],"strategies.":[229],"In":[230],"addition,":[231],"taken":[235],"our":[237],"has":[239],"overhead":[242],"than":[243],"brute-force":[244],"approach":[245],"while":[246],"keeping":[247],"similar":[249],"effectiveness.":[250]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}