{"id":"https://openalex.org/W2119558533","doi":"https://doi.org/10.1145/1989323.1989355","title":"Schedule optimization for data processing flows on the cloud","display_name":"Schedule optimization for data processing flows on the cloud","publication_year":2011,"publication_date":"2011-06-12","ids":{"openalex":"https://openalex.org/W2119558533","doi":"https://doi.org/10.1145/1989323.1989355","mag":"2119558533"},"language":"en","primary_location":{"id":"doi:10.1145/1989323.1989355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 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/A5026098275","display_name":"Herald Kllapi","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Herald Kllapi","raw_affiliation_strings":["MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017522129","display_name":"Eva Sitaridi","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eva Sitaridi","raw_affiliation_strings":["MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008644936","display_name":"Manolis M. Tsangaris","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Manolis M. Tsangaris","raw_affiliation_strings":["MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084870386","display_name":"Yannis Ioannidis","orcid":"https://orcid.org/0000-0002-1705-8247"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Ioannidis","raw_affiliation_strings":["MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"MaDgIK Lab, Dept. of Informatics and Telecommunications, University of Athens, Ilissia GR15784, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026098275"],"corresponding_institution_ids":["https://openalex.org/I200777214"],"apc_list":null,"apc_paid":null,"fwci":33.1136,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":{"value":0.99598172,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"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":0.9995999932289124,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9976000189781189,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.8109023571014404},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7296271920204163},{"id":"https://openalex.org/keywords/dataflow","display_name":"Dataflow","score":0.6182388067245483},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5426609516143799},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5321668386459351},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5074743628501892},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.49031904339790344},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4671230912208557},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4503265619277954},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4302796721458435},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21612703800201416},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1850971281528473},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.12473243474960327},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.11359274387359619}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109023571014404},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7296271920204163},{"id":"https://openalex.org/C96324660","wikidata":"https://www.wikidata.org/wiki/Q205446","display_name":"Dataflow","level":2,"score":0.6182388067245483},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5426609516143799},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5321668386459351},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5074743628501892},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.49031904339790344},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4671230912208557},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4503265619277954},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4302796721458435},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21612703800201416},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1850971281528473},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.12473243474960327},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.11359274387359619},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1989323.1989355","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W14324141","https://openalex.org/W72686358","https://openalex.org/W1593856066","https://openalex.org/W1970275772","https://openalex.org/W1973531467","https://openalex.org/W1984385885","https://openalex.org/W1993892970","https://openalex.org/W1998082182","https://openalex.org/W2006382393","https://openalex.org/W2012753837","https://openalex.org/W2037289266","https://openalex.org/W2081579241","https://openalex.org/W2090317466","https://openalex.org/W2094953724","https://openalex.org/W2096812688","https://openalex.org/W2098935637","https://openalex.org/W2100830825","https://openalex.org/W2103128343","https://openalex.org/W2104680817","https://openalex.org/W2111234506","https://openalex.org/W2112101330","https://openalex.org/W2119733057","https://openalex.org/W2140332639","https://openalex.org/W2144296776","https://openalex.org/W2153609988","https://openalex.org/W2154010459","https://openalex.org/W2157846217","https://openalex.org/W2170901349","https://openalex.org/W2173213060","https://openalex.org/W2254543411","https://openalex.org/W2340006107","https://openalex.org/W2790385425","https://openalex.org/W3150630553","https://openalex.org/W6602933392","https://openalex.org/W6673231745","https://openalex.org/W6675645862","https://openalex.org/W6704052874"],"related_works":["https://openalex.org/W2998381397","https://openalex.org/W4236419692","https://openalex.org/W3167919718","https://openalex.org/W4225271228","https://openalex.org/W1484403103","https://openalex.org/W2521947294","https://openalex.org/W4251718783","https://openalex.org/W2064624074","https://openalex.org/W1993746733","https://openalex.org/W2907307640"],"abstract_inverted_index":{"Scheduling":[0],"data":[1,87],"processing":[2,88],"workflows":[3],"(dataflows)":[4],"on":[5,189],"the":[6,65,91,144,148,155,185,202,210,215,227],"cloud":[7,50,66],"is":[8,16,27,41,56],"a":[9,102,110,159],"very":[10,21,42],"complex":[11],"and":[12,112,119,130,165,172,192,212,225],"challenging":[13],"task.":[14],"It":[15],"essentially":[17],"an":[18,132],"optimization":[19,47,54,134],"problem,":[20],"similar":[22],"to":[23,45,136],"query":[24,73],"optimization,":[25],"that":[26,49,84,139,180],"characteristically":[28],"different":[29,95],"from":[30],"traditional":[31],"problems":[32,129],"in":[33,90,143],"two":[34],"aspects:":[35],"Its":[36],"space":[37,203],"of":[38,63,82,93,150,201,204,214,229],"alternative":[39,205],"schedules":[40,206],"rich,":[43],"due":[44],"various":[46,216],"opportunities":[48],"computing":[51],"offers;":[52],"its":[53],"criterion":[55],"at":[57,68],"least":[58,69],"two-dimensional,":[59],"with":[60,168,184],"monetary":[61,107,120],"cost":[62,108,121],"using":[64],"being":[67],"as":[70,72,207,209],"important":[71],"completion":[74,99,117],"time.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79,153,181,195],"study":[80],"scheduling":[81],"dataflows":[83],"involve":[85],"arbitrary":[86],"operators":[89],"context":[92],"three":[94],"problems:":[96],"1)":[97],"minimize":[98,106],"time":[100,118],"given":[101,109],"fixed":[103],"budget,":[104],"2)":[105],"deadline,":[111],"3)":[113],"find":[114],"trade-offs":[115],"between":[116],"without":[122],"any":[123],"a-priori":[124],"constraints.":[125],"We":[126],"formulate":[127],"these":[128],"present":[131],"approximate":[133],"framework":[135,157],"address":[137],"them":[138],"uses":[140],"resource":[141],"elasticity":[142],"cloud.":[145],"To":[146],"investigate":[147],"effectiveness":[149,228],"our":[151,230],"approach,":[152],"incorporate":[154],"devised":[156],"into":[158],"prototype":[160,186],"system":[161],"for":[162],"dataflow":[163],"evaluation":[164],"instantiate":[166],"it":[167],"several":[169,178,197],"greedy,":[170],"probabilistic,":[171],"exhaustive":[173],"search":[174,217],"algorithms.":[175,218],"Finally,":[176],"through":[177],"experiments":[179],"have":[182],"conducted":[183],"elastic":[187],"optimizer":[188],"numerous":[190],"scientific":[191],"synthetic":[193],"dataflows,":[194],"identify":[196],"interesting":[198],"general":[199],"characteristics":[200],"well":[208],"advantages":[211],"disadvantages":[213],"The":[219],"overall":[220],"results":[221],"are":[222],"quite":[223],"promising":[224],"indicate":[226],"approach.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":6}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}