{"id":"https://openalex.org/W1969638984","doi":"https://doi.org/10.1109/bigdata.2013.6691562","title":"Hardware acceleration of Hadoop MapReduce","display_name":"Hardware acceleration of Hadoop MapReduce","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W1969638984","doi":"https://doi.org/10.1109/bigdata.2013.6691562","mag":"1969638984"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691562","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":"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/A5014920566","display_name":"Toshimori Honjo","orcid":"https://orcid.org/0000-0002-2176-9842"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshimori Honjo","raw_affiliation_strings":["NTT Corporation, NTT Software Innovation Center, Tokyo, Japan","NTT Software Innovation Center, NTT Corporation, Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, NTT Software Innovation Center, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Software Innovation Center, NTT Corporation, Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068284326","display_name":"Kazuki Oikawa","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuki Oikawa","raw_affiliation_strings":["NTT Corporation, NTT Software Innovation Center, Tokyo, Japan","NTT Software Innovation Center, NTT Corporation, Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, NTT Software Innovation Center, Tokyo, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":"NTT Software Innovation Center, NTT Corporation, Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014920566"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":9.7073,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.97517279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11181","display_name":"Advanced Data Storage Technologies","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"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9936000108718872,"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/bottleneck","display_name":"Bottleneck","score":0.9686996936798096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8309999704360962},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.7698659896850586},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.667190432548523},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5364981293678284},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5348652005195618},{"id":"https://openalex.org/keywords/computer-cluster","display_name":"Computer cluster","score":0.49624091386795044},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.4770890176296234},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.471030056476593},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.46095067262649536},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4403700828552246}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.9686996936798096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8309999704360962},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.7698659896850586},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.667190432548523},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5364981293678284},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5348652005195618},{"id":"https://openalex.org/C29140674","wikidata":"https://www.wikidata.org/wiki/Q206637","display_name":"Computer cluster","level":2,"score":0.49624091386795044},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.4770890176296234},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.471030056476593},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.46095067262649536},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4403700828552246},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2013.6691562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691562","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2010279913","https://openalex.org/W2067051372","https://openalex.org/W2119434292","https://openalex.org/W2129817042","https://openalex.org/W2131975293","https://openalex.org/W2140928415","https://openalex.org/W2173213060","https://openalex.org/W6667333114","https://openalex.org/W6679815717"],"related_works":["https://openalex.org/W2125623414","https://openalex.org/W2473478803","https://openalex.org/W42804133","https://openalex.org/W2974803588","https://openalex.org/W2133719836","https://openalex.org/W2729363167","https://openalex.org/W1501833554","https://openalex.org/W2349032622","https://openalex.org/W2616370704","https://openalex.org/W2060611139"],"abstract_inverted_index":{"MapReduce":[0,54,66],"is":[1,80],"widely":[2],"used":[3],"for":[4,96],"BigData":[5],"processing.":[6],"It":[7],"was":[8],"originally":[9],"designed":[10],"to":[11,33],"overcome":[12,88],"the":[13,42,46,48,53,78,81,89,113],"I/O":[14,43],"bottleneck":[15,51,82],"of":[16,64,115],"commodity":[17],"servers.":[18],"However,":[19],"several":[20],"high":[21],"speed":[22],"storage":[23],"and":[24,30,111],"network":[25],"devices":[26,39],"have":[27],"recently":[28],"emerged,":[29],"speeds":[31],"continue":[32],"increase.":[34],"Employing":[35],"such":[36,84],"brand":[37],"new":[38],"will":[40],"solve":[41],"bottleneck,":[44,91],"making":[45],"CPU":[47,79,90],"next":[49],"serious":[50],"in":[52,83],"framework.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,92],"conduct":[60],"a":[61,69,100,103],"performance":[62],"study":[63],"Hadoop":[65],"by":[67,109],"using":[68,102],"server":[70],"cluster":[71],"built":[72],"on":[73],"state-of-the-art":[74],"devices.":[75],"We":[76,98],"show":[77,112],"an":[85],"environment.":[86],"To":[87],"propose":[93],"hardware":[94],"acceleration":[95],"MapReduce.":[97],"implement":[99],"prototype":[101],"many":[104],"core":[105],"processor":[106],"board":[107],"developed":[108],"Tilera":[110],"feasibility":[114],"our":[116],"proposal.":[117]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
