{"id":"https://openalex.org/W2536525746","doi":"https://doi.org/10.1145/2983323.2983647","title":"An Experimental Comparison of Iterative MapReduce Frameworks","display_name":"An Experimental Comparison of Iterative MapReduce Frameworks","publication_year":2016,"publication_date":"2016-10-24","ids":{"openalex":"https://openalex.org/W2536525746","doi":"https://doi.org/10.1145/2983323.2983647","mag":"2536525746"},"language":"en","primary_location":{"id":"doi:10.1145/2983323.2983647","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","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/A5065347864","display_name":"Haejoon Lee","orcid":"https://orcid.org/0000-0002-0284-1562"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haejoon Lee","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031046113","display_name":"Minseo Kang","orcid":"https://orcid.org/0009-0004-6828-115X"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minseo Kang","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056836582","display_name":"Sun-Bum Youn","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun-Bum Youn","raw_affiliation_strings":["Netmarble Games, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Netmarble Games, Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101805827","display_name":"Jae-Gil Lee","orcid":"https://orcid.org/0000-0002-8711-7732"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Gil Lee","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102246987","display_name":"YongChul Kwon","orcid":"https://orcid.org/0009-0002-8525-2735"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YongChul Kwon","raw_affiliation_strings":["Microsoft Corp., Redmond, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corp., Redmond, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7614,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92400884,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2089","last_page":"2094"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9980000257492065,"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":0.9980000257492065,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8633267879486084},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.6726274490356445},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6189963817596436},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.593679666519165},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5880990624427795},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46635475754737854},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.43944379687309265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4182617664337158},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.34908121824264526},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29409003257751465},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2366710603237152},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.09500148892402649}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8633267879486084},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.6726274490356445},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6189963817596436},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.593679666519165},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5880990624427795},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46635475754737854},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.43944379687309265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4182617664337158},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34908121824264526},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29409003257751465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2366710603237152},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.09500148892402649},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2983323.2983647","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2983323.2983647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM International on Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322010","display_name":"Ministry of Land, Infrastructure and Transport","ror":"https://ror.org/04xt5aa77"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W623516309","https://openalex.org/W1976860187","https://openalex.org/W1995996823","https://openalex.org/W2013344760","https://openalex.org/W2044936152","https://openalex.org/W2065180054","https://openalex.org/W2113671562","https://openalex.org/W2120458882","https://openalex.org/W2122465391","https://openalex.org/W2139205321","https://openalex.org/W2154138844","https://openalex.org/W2189465200","https://openalex.org/W2281494333","https://openalex.org/W2755088640","https://openalex.org/W6687322159","https://openalex.org/W6758383543"],"related_works":["https://openalex.org/W2106626222","https://openalex.org/W2980866815","https://openalex.org/W1562405179","https://openalex.org/W2125493559","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W4376609224"],"abstract_inverted_index":{"MapReduce":[0],"has":[1],"become":[2],"a":[3,39,48,158],"dominant":[4],"framework":[5,160],"in":[6,23,62,112,127],"big":[7],"data":[8,20,26,140],"analysis,":[9],"and":[10,53,59,65,73,82,89,103,124,142,151],"thus":[11],"there":[12],"have":[13,56],"been":[14,57],"significant":[15],"efforts":[16],"to":[17],"implement":[18],"various":[19,87],"analysis":[21,27],"algorithms":[22,28,45],"MapReduce.":[24],"Many":[25],"are":[29,94],"inherently":[30],"iterative,":[31],"repeating":[32],"the":[33,83,117,136,163],"same":[34],"set":[35],"of":[36,51,119,129],"tasks":[37],"until":[38],"convergence.":[40],"To":[41],"efficiently":[42],"support":[43,128],"iterative":[44,98,130],"at":[46],"scale,":[47],"few":[49],"variants":[50],"Hadoop":[52,81],"new":[54,121,159],"platforms":[55],"proposed":[58],"actively":[60],"developed":[61],"both":[63],"academia":[64],"industry.":[66],"Representative":[67],"systems":[68,85,93],"include":[69],"HaLoop,":[70],"iMapReduce,":[71],"Twister,":[72],"Spark.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,146],"experimentally":[79],"compare":[80],"aforementioned":[84],"using":[86],"workloads":[88],"metrics.":[90],"The":[91],"five":[92],"compared":[95],"through":[96],"four":[97],"algorithms---PageRank,":[99],"recursive":[100],"query,":[101],"k-means,":[102],"logistic":[104],"regression---on":[105],"50":[106],"Amazon":[107],"EC2":[108],"machines":[109],"(200":[110],"cores":[111],"total).":[113],"We":[114],"thoroughly":[115],"explore":[116],"effectiveness":[118],"their":[120],"caching,":[122],"communication,":[123],"scheduling":[125],"mechanisms":[126],"computation.":[131],"Our":[132],"evaluation":[133,150],"also":[134],"shows":[135],"performance":[137],"depending":[138],"on":[139],"skewness":[141],"memory":[143],"residency.":[144],"Overall,":[145],"believe":[147],"that":[148],"our":[149],"interpretation":[152],"will":[153],"be":[154],"useful":[155],"for":[156],"designing":[157],"or":[161],"improving":[162],"existing":[164],"ones.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}