{"id":"https://openalex.org/W2057087550","doi":"https://doi.org/10.1109/igcc.2011.6008564","title":"Improving MapReduce energy efficiency for computation intensive workloads","display_name":"Improving MapReduce energy efficiency for computation intensive workloads","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2057087550","doi":"https://doi.org/10.1109/igcc.2011.6008564","mag":"2057087550"},"language":"en","primary_location":{"id":"doi:10.1109/igcc.2011.6008564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igcc.2011.6008564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Green Computing Conference and Workshops","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/A5015389656","display_name":"Thomas Wirtz","orcid":null},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thomas Wirtz","raw_affiliation_strings":["Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, USA","Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, USA#TAB#","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035001911","display_name":"Rong Ge","orcid":"https://orcid.org/0000-0002-2218-3675"},"institutions":[{"id":"https://openalex.org/I102461120","display_name":"Marquette University","ror":"https://ror.org/04gr4te78","country_code":"US","type":"education","lineage":["https://openalex.org/I102461120"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Ge","raw_affiliation_strings":["Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, USA","Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Statistics and Computer Science, Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI, USA#TAB#","institution_ids":["https://openalex.org/I102461120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5015389656"],"corresponding_institution_ids":["https://openalex.org/I102461120"],"apc_list":null,"apc_paid":null,"fwci":16.9957,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98860493,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9961000084877014,"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":0.8626921772956848},{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.8379883766174316},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6930521726608276},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.6568620800971985},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5984331965446472},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5945712327957153},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5915442109107971},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5587940216064453},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.48140406608581543},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43238216638565063},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.29179275035858154},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.23560935258865356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8626921772956848},{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.8379883766174316},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6930521726608276},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6568620800971985},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5984331965446472},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5945712327957153},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5915442109107971},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5587940216064453},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.48140406608581543},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43238216638565063},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.29179275035858154},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.23560935258865356},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igcc.2011.6008564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igcc.2011.6008564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Green Computing Conference and Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W140644435","https://openalex.org/W206026125","https://openalex.org/W1544509019","https://openalex.org/W1842406863","https://openalex.org/W1947724566","https://openalex.org/W1976860187","https://openalex.org/W1988117216","https://openalex.org/W1996438407","https://openalex.org/W1997527013","https://openalex.org/W2017751491","https://openalex.org/W2031634592","https://openalex.org/W2098272972","https://openalex.org/W2100346277","https://openalex.org/W2104644701","https://openalex.org/W2118651798","https://openalex.org/W2121762798","https://openalex.org/W2124853018","https://openalex.org/W2134807578","https://openalex.org/W2151587416","https://openalex.org/W2154399174","https://openalex.org/W2160804075","https://openalex.org/W2166716750","https://openalex.org/W2173213060","https://openalex.org/W6605663629","https://openalex.org/W6608376255","https://openalex.org/W6638953996","https://openalex.org/W6649353803","https://openalex.org/W7065975672"],"related_works":["https://openalex.org/W2566006169","https://openalex.org/W986318368","https://openalex.org/W2770234245","https://openalex.org/W2384410913","https://openalex.org/W2987774938","https://openalex.org/W2352878646","https://openalex.org/W2990194547","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W632915154"],"abstract_inverted_index":{"MapReduce":[0,24,52,62,131],"is":[1],"a":[2],"programming":[3],"model":[4],"for":[5,31,115],"data":[6,32],"intensive":[7,117],"computing":[8],"on":[9,92,125],"large-scale":[10],"distributed":[11],"systems.":[12],"With":[13],"its":[14],"wide":[15],"acceptance":[16],"and":[17,34,44,79,83,111,133,138],"deployment,":[18],"improving":[19],"the":[20,42,48,54,73,88,93,120,130,134],"energy":[21,29,45,102],"efficiency":[22,46,63],"of":[23,47,51,56,75,122,129,136],"will":[25],"lead":[26],"to":[27],"significant":[28,101],"savings":[30,103],"centers":[33],"computational":[35,95],"grids.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"study":[41],"performance":[43],"Hadoop":[49],"implementation":[50],"under":[53],"context":[55],"energy-proportional":[57],"computing.":[58],"We":[59],"consider":[60],"how":[61],"varies":[64],"with":[65],"two":[66],"runtime":[67],"configurations:":[68],"resource":[69,109,137],"allocation":[70,110],"that":[71,86],"changes":[72],"number":[74],"available":[76],"concurrent":[77],"workers,":[78],"DVFS":[80,113,139],"(Dynamic":[81],"Voltage":[82],"Frequency":[84],"Scaling)":[85],"adjusts":[87],"processor":[89],"frequency":[90],"based":[91],"workloads'":[94],"needs.":[96],"Our":[97],"experimental":[98],"results":[99],"indicate":[100],"can":[104],"be":[105],"achieved":[106],"from":[107],"judicious":[108],"intelligent":[112],"scheduling":[114],"computation":[116],"applications,":[118],"though":[119],"level":[121],"improvements":[123],"depends":[124],"both":[126],"workload":[127],"characteristic":[128],"application":[132],"policy":[135],"scheduling.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}