{"id":"https://openalex.org/W2053087996","doi":"https://doi.org/10.1109/bigdata.2013.6691594","title":"Segmented analysis for reducing data movement","display_name":"Segmented analysis for reducing data movement","publication_year":2013,"publication_date":"2013-10-01","ids":{"openalex":"https://openalex.org/W2053087996","doi":"https://doi.org/10.1109/bigdata.2013.6691594","mag":"2053087996"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2013.6691594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691594","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/A5100456641","display_name":"Jialin Liu","orcid":"https://orcid.org/0000-0002-3320-4566"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jialin Liu","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, Texas, USA","Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, Texas, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062233562","display_name":"Suren Byna","orcid":"https://orcid.org/0000-0003-3048-3448"},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Surendra Byna","raw_affiliation_strings":["Computational Research Division, Lawrence Berkeley Laboratory, Berkeley, California, USA","Comput. Res. Div., Lawrence Berkeley Lab., Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Computational Research Division, Lawrence Berkeley Laboratory, Berkeley, California, USA","institution_ids":["https://openalex.org/I148283060"]},{"raw_affiliation_string":"Comput. Res. Div., Lawrence Berkeley Lab., Berkeley, CA, USA","institution_ids":["https://openalex.org/I148283060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077521546","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-9961-9051"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, Lubbock, Texas, USA","Department of Computer Science, Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, Texas, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100456641"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":null,"apc_paid":null,"fwci":2.6446,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.9078408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"2","issue":null,"first_page":"344","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998999834060669,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9993000030517578,"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":0.9988999962806702,"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":0.8610687255859375},{"id":"https://openalex.org/keywords/terabyte","display_name":"Terabyte","score":0.7194856405258179},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6839344501495361},{"id":"https://openalex.org/keywords/petabyte","display_name":"Petabyte","score":0.6604502201080322},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6418675184249878},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.609600841999054},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6067542433738708},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6051540970802307},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5713980793952942},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4840640127658844},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4553764760494232},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42802441120147705},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.379757285118103},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.31183356046676636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28781455755233765},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10521376132965088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8610687255859375},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.7194856405258179},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6839344501495361},{"id":"https://openalex.org/C13600138","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Petabyte","level":3,"score":0.6604502201080322},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6418675184249878},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.609600841999054},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6067542433738708},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6051540970802307},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5713980793952942},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4840640127658844},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4553764760494232},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42802441120147705},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.379757285118103},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.31183356046676636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28781455755233765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10521376132965088},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2013.6691594","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2013.6691594","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.720.7186","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.720.7186","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://sdm.lbl.gov/%7Esbyna/research/papers/2013-BigData13-segmented.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1585575376","https://openalex.org/W1964941055","https://openalex.org/W2042494348","https://openalex.org/W2059795973","https://openalex.org/W2081904791","https://openalex.org/W2094393814","https://openalex.org/W2106019582","https://openalex.org/W2125062675","https://openalex.org/W2127861928","https://openalex.org/W2130442162","https://openalex.org/W2131975293","https://openalex.org/W2138143219","https://openalex.org/W2139635799","https://openalex.org/W2147139455","https://openalex.org/W2148459868","https://openalex.org/W2163726882","https://openalex.org/W2167208373","https://openalex.org/W6635107838"],"related_works":["https://openalex.org/W1538652242","https://openalex.org/W2011521129","https://openalex.org/W4379164835","https://openalex.org/W2461968736","https://openalex.org/W4386544342","https://openalex.org/W1971438544","https://openalex.org/W2481053450","https://openalex.org/W2034909456","https://openalex.org/W4254487859","https://openalex.org/W2514911858"],"abstract_inverted_index":{"Many":[0],"scientific":[1,44],"applications":[2],"nowadays":[3],"generate":[4],"a":[5,12,54,76,92,130,142],"few":[6],"terabytes":[7],"(TB)":[8],"of":[9,32,82,109,139,227],"data":[10,17,48,67,83,93,118,127,161,177],"in":[11,25,120,141,169,198],"single":[13],"run":[14],"and":[15,134,178,193,201,224,235],"the":[16,26,40,58,70,106,117,126,137,156,160,165,170,172,182,207,215,221,225,243],"sizes":[18],"are":[19,167],"expected":[20],"to":[21,42,115,124,135,154,232,236,238],"reach":[22],"petabytes":[23],"(PB)":[24],"near":[27],"future.":[28],"Enabling":[29],"fast":[30],"extraction":[31],"knowledge":[33],"through":[34,97],"analyzing":[35],"these":[36],"large":[37],"datasets":[38],"holds":[39],"key":[41],"faster":[43],"discoveries.":[45],"However,":[46],"reading":[47],"from":[49,69],"traditional":[50],"storage":[51,71],"subsystem":[52,72],"is":[53,73,114,245],"slow":[55],"process":[56,105,125,158],"as":[57],"I/O":[59,194,234],"performance":[60,81],"lags":[61],"far":[62],"behind":[63],"computational":[64],"performance.":[65],"Reducing":[66],"movement":[68,94],"widely":[74],"considered":[75],"viable":[77],"option":[78],"for":[79,144,163,181,191],"improving":[80],"analysis.":[84],"In":[85,147],"this":[86],"paper,":[87],"we":[88],"propose":[89],"Segmented":[90,186,208],"Analysis,":[91],"reduction":[95],"strategy":[96,210],"reusing":[98],"results,":[99],"where":[100],"multiple":[101],"similar":[102],"analysis":[103,122,132,151,219],"tasks":[104],"same":[107,157],"segments":[108,128,140,162],"data.":[110],"The":[111,185],"basic":[112],"idea":[113],"segment":[116,202],"accessed":[119],"an":[121,150],"task,":[123,133],"with":[129],"given":[131],"store":[136],"results":[138,166],"cache":[143],"future":[145],"use.":[146],"future,":[148],"when":[149,242],"task":[152,173],"needs":[153],"perform":[155],"on":[159],"which":[164],"available":[168,183],"cache,":[171],"can":[174],"avoid":[175],"moving":[176],"performing":[179],"computation":[180,192,240],"results.":[184],"Analysis":[187,209],"framework":[188],"contains":[189],"modules":[190],"access":[195],"overlap":[196,216,244],"detection,":[197],"situ":[199],"segmentation,":[200],"result":[203],"caching.":[204],"We":[205,229],"evaluate":[206],"by":[211],"varying":[212],"factors":[213],"like":[214],"rate":[217],"among":[218],"tasks,":[220],"request":[222],"size":[223],"granularity":[226],"segmentation.":[228],"observed":[230],"2X":[231,237],"13X":[233],"8X":[239],"speedups":[241],"above":[246],"50%.":[247]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}