{"id":"https://openalex.org/W1963842538","doi":"https://doi.org/10.1109/igcc.2013.6604489","title":"Power and energy characteristics of MapReduce data movements","display_name":"Power and energy characteristics of MapReduce data movements","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1963842538","doi":"https://doi.org/10.1109/igcc.2013.6604489","mag":"1963842538"},"language":"en","primary_location":{"id":"doi:10.1109/igcc.2013.6604489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igcc.2013.6604489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Green Computing Conference Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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":false,"raw_author_name":"Thomas Wirtz","raw_affiliation_strings":["Marquette University, Milwaukee, WI, USA","Marquette University; Milwaukee WI USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Marquette University; Milwaukee WI USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","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":["Marquette University, Milwaukee, WI, USA","Marquette University; Milwaukee WI USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marquette University, Milwaukee, WI, USA","institution_ids":["https://openalex.org/I102461120"]},{"raw_affiliation_string":"Marquette University; Milwaukee WI USA","institution_ids":["https://openalex.org/I102461120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008451482","display_name":"Ziliang Zong","orcid":"https://orcid.org/0000-0003-2693-7419"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziliang Zong","raw_affiliation_strings":["Texas State University, San Marcos, TX, USA","Texas State University-San Marcos, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas State University, San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]},{"raw_affiliation_string":"Texas State University-San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061737717","display_name":"Zizhong Chen","orcid":"https://orcid.org/0000-0003-2578-4940"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zizhong Chen","raw_affiliation_strings":["University of California, Riverside, CA, USA","University of California, RIverside, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"University of California, RIverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9997000098228455,"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":0.9997000098228455,"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/T12238","display_name":"Green IT and Sustainability","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9933000206947327,"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":0.8281732797622681},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.73143470287323},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6990165114402771},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5830113887786865},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5823017954826355},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48586505651474},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4422633945941925},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4328398108482361},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4175989627838135},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.32241201400756836},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1740388572216034},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.15401071310043335},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08975610136985779}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281732797622681},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.73143470287323},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6990165114402771},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5830113887786865},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5823017954826355},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48586505651474},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4422633945941925},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4328398108482361},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4175989627838135},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.32241201400756836},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1740388572216034},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15401071310043335},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08975610136985779},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igcc.2013.6604489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igcc.2013.6604489","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 International Green Computing Conference Proceedings","raw_type":"proceedings-article"},{"id":"pmh:oai:epublications.marquette.edu:mscs_fac-1177","is_oa":false,"landing_page_url":"https://epublications.marquette.edu/mscs_fac/177","pdf_url":null,"source":{"id":"https://openalex.org/S4306401682","display_name":"e-Publications@Marquette (Marquette University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I102461120","host_organization_name":"Marquette University","host_organization_lineage":["https://openalex.org/I102461120"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mathematics, Statistics and Computer Science Faculty Research and Publications","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W137603941","https://openalex.org/W140644435","https://openalex.org/W1995354975","https://openalex.org/W1996975941","https://openalex.org/W1998252153","https://openalex.org/W2057087550","https://openalex.org/W2067051372","https://openalex.org/W2069424027","https://openalex.org/W2074697849","https://openalex.org/W2118651798","https://openalex.org/W2130010548","https://openalex.org/W2134807578","https://openalex.org/W2149212714","https://openalex.org/W2154399174","https://openalex.org/W2161350347","https://openalex.org/W2163449191","https://openalex.org/W2173213060","https://openalex.org/W6605554617","https://openalex.org/W6605663629","https://openalex.org/W6667333114"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W4390608645","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W75751337","https://openalex.org/W179829755"],"abstract_inverted_index":{"Worldwide":[0],"data":[1,30,68,71,82,100,123],"centers":[2],"consume":[3],"about":[4],"300":[5],"billion":[6],"kWh":[7],"of":[8,16,67,122,130],"energy":[9,34,39,43,52,65,77,120,131,140,155],"per":[10],"year,":[11],"which":[12],"accounts":[13],"for":[14,26,95],"2%":[15],"total":[17],"electricity":[18],"use.":[19],"As":[20,70],"MapReduce":[21,33,51,99,134],"becomes":[22],"the":[23,64,106,128],"mainstream":[24],"paradigm":[25],"data-intensive":[27,153],"computing":[28,154],"in":[29,145],"centers,":[31],"optimizing":[32],"efficiency":[35,132],"can":[36,142],"greatly":[37],"mitigate":[38],"requirements":[40],"and":[41,62,76,86,93,109,114,118,136,148],"reduce":[42],"bills.":[44],"Numerous":[45],"studies":[46],"have":[47,56],"attempted":[48],"to":[49,151],"improve":[50,152],"efficiency,":[53],"but":[54],"few":[55],"approached":[57],"this":[58],"problem":[59],"from":[60],"understanding":[61],"reducing":[63],"impact":[66],"movements.":[69,101,124],"movements":[72],"are":[73],"often":[74],"performance":[75,108],"bottlenecks,":[78],"we":[79],"propose":[80],"a":[81],"movement":[83],"centric":[84],"approach":[85],"present":[87],"an":[88],"analysis":[89],"framework":[90,112],"with":[91,133],"methods":[92],"metrics":[94],"evaluating":[96],"costly":[97],"built-in":[98],"Our":[102],"experimental":[103],"investigation":[104],"leverages":[105],"fine-grained":[107],"power":[110],"profiling":[111],"eTune":[113],"reveals":[115],"unique":[116],"system-level":[117],"component-level":[119],"characteristics":[121,141],"It":[125],"also":[126],"shows":[127],"scalability":[129],"workload":[135],"system":[137,146],"parameters.":[138],"These":[139],"be":[143],"exploited":[144],"design":[147],"resource":[149],"allocation":[150],"efficiency.":[156]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
