{"id":"https://openalex.org/W2112013978","doi":"https://doi.org/10.1145/1807167.1807223","title":"ParaTimer","display_name":"ParaTimer","publication_year":2010,"publication_date":"2010-06-06","ids":{"openalex":"https://openalex.org/W2112013978","doi":"https://doi.org/10.1145/1807167.1807223","mag":"2112013978"},"language":"en","primary_location":{"id":"doi:10.1145/1807167.1807223","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","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/A5063728932","display_name":"Kristi Morton","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kristi Morton","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064988079","display_name":"Magdalena Ba\u0142azi\u0144ska","orcid":"https://orcid.org/0000-0002-6805-0325"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Magdalena Balazinska","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103045316","display_name":"Dan Grossman","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Grossman","raw_affiliation_strings":["University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063728932"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":51.3336,"has_fulltext":false,"cited_by_count":183,"citation_normalized_percentile":{"value":0.99817118,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"507","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9987000226974487,"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":0.8888106346130371},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.514383852481842},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.5123101472854614},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4748162031173706},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.46567127108573914},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4537811279296875},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4374803602695465},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39613455533981323},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3600536584854126},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.35061201453208923},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17260152101516724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10547500848770142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8888106346130371},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.514383852481842},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5123101472854614},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4748162031173706},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.46567127108573914},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4537811279296875},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4374803602695465},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39613455533981323},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3600536584854126},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.35061201453208923},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17260152101516724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10547500848770142},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1807167.1807223","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1807167.1807223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815},{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W3410254","https://openalex.org/W206955312","https://openalex.org/W1861377444","https://openalex.org/W2017194553","https://openalex.org/W2054681294","https://openalex.org/W2098935637","https://openalex.org/W2100773341","https://openalex.org/W2100830825","https://openalex.org/W2107422095","https://openalex.org/W2112847223","https://openalex.org/W2119414841","https://openalex.org/W2120451551","https://openalex.org/W2149666876","https://openalex.org/W2153231596","https://openalex.org/W2168910844","https://openalex.org/W2171668176","https://openalex.org/W2173213060","https://openalex.org/W2296677182","https://openalex.org/W2753710282","https://openalex.org/W6600141824"],"related_works":["https://openalex.org/W4290802965","https://openalex.org/W97789383","https://openalex.org/W2032233321","https://openalex.org/W3087516072","https://openalex.org/W2727156679","https://openalex.org/W4289406402","https://openalex.org/W2364071303","https://openalex.org/W3121970507","https://openalex.org/W1483053255","https://openalex.org/W2896097814"],"abstract_inverted_index":{"Time-oriented":[0],"progress":[1,64],"estimation":[2],"for":[3,28],"parallel":[4,29,32],"queries":[5,42,66],"is":[6],"a":[7,22,97,107,141,150,171],"challenging":[8],"problem":[9],"that":[10,67,87],"has":[11],"received":[12],"only":[13,137],"limited":[14],"attention.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19,95],"present":[20],"ParaTimer,":[21],"new":[23,98],"type":[24,99],"of":[25,47,65,73,100,109,143],"time-remaining":[26,144],"indicator":[27],"queries.":[30],"Several":[31],"data":[33,117],"processing":[34],"systems":[35,111],"exist.":[36],"ParaTimer":[37,50,105,132],"targets":[38],"environments":[39],"where":[40,76],"declarative":[41],"are":[43],"translated":[44],"into":[45,69],"ensembles":[46],"MapReduce":[48,74],"jobs.":[49],"builds":[51],"on":[52,78,167,170],"previous":[53],"techniques":[54],"and":[55,116,163],"makes":[56],"two":[57],"key":[58],"contributions.":[59],"First,":[60],"it":[61],"estimates":[62],"the":[63,160],"translate":[68],"directed":[70],"acyclic":[71],"graphs":[72],"jobs,":[75],"jobs":[77],"different":[79,151],"paths":[80],"can":[81],"execute":[82],"concurrently":[83],"(unlike":[84],"prior":[85],"work":[86],"looked":[88],"at":[89],"sequences":[90],"only).":[91],"For":[92],"such":[93,113],"queries,":[94],"use":[96],"critical-path-based":[101],"progress-estimation":[102],"approach.":[103],"Second,":[104],"handles":[106],"variety":[108],"real":[110],"challenges":[112],"as":[114],"failures":[115],"skew.":[118],"To":[119],"handle":[120],"unexpected":[121],"changes":[122],"in":[123,159],"query":[124],"execution":[125],"times":[126],"due":[127],"to":[128,149],"runtime":[129],"condition":[130],"changes,":[131],"provides":[133],"users":[134],"with":[135,140],"not":[136],"one":[138,147],"but":[139],"set":[142],"estimates,":[145],"each":[146],"corresponding":[148],"carefully":[152],"selected":[153],"scenario.":[154],"We":[155],"implement":[156],"our":[157],"estimator":[158],"Pig":[161],"system":[162],"demonstrate":[164],"its":[165],"performance":[166],"experiments":[168],"running":[169],"real,":[172],"small-scale":[173],"cluster.":[174]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":24},{"year":2013,"cited_by_count":24},{"year":2012,"cited_by_count":30}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
