{"id":"https://openalex.org/W2040066816","doi":"https://doi.org/10.1109/bigdata.2014.7004328","title":"In unity there is strength: Showcasing a unified big data platform with MapReduce Over both object and file storage","display_name":"In unity there is strength: Showcasing a unified big data platform with MapReduce Over both object and file storage","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2040066816","doi":"https://doi.org/10.1109/bigdata.2014.7004328","mag":"2040066816"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (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/A5100422092","display_name":"Rui Zhang","orcid":"https://orcid.org/0000-0002-8132-6250"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rui Zhang","raw_affiliation_strings":["IBM Research, Almaden","IBM Research \u2013Almaden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research \u2013Almaden","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046771011","display_name":"Dean Hildebrand","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dean Hildebrand","raw_affiliation_strings":["IBM Research, Almaden","IBM Research \u2013Almaden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research \u2013Almaden","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113704478","display_name":"Renu Tewari","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Renu Tewari","raw_affiliation_strings":["IBM Research, Almaden","IBM Research \u2013Almaden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research \u2013Almaden","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6408,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.88327505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"960","last_page":"966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976999759674072,"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/T11478","display_name":"Caching and Content Delivery","score":0.996999979019165,"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":0.826642632484436},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7452370524406433},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.682388961315155},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6755988597869873},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.5107300281524658},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4921247363090515},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.486155241727829},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.46112295985221863},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4598987102508545},{"id":"https://openalex.org/keywords/high-availability","display_name":"High availability","score":0.4451276659965515}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.826642632484436},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7452370524406433},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.682388961315155},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6755988597869873},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.5107300281524658},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4921247363090515},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.486155241727829},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.46112295985221863},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4598987102508545},{"id":"https://openalex.org/C65813073","wikidata":"https://www.wikidata.org/wiki/Q1622420","display_name":"High availability","level":2,"score":0.4451276659965515},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum 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},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2014.7004328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004328","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1516720694","https://openalex.org/W1577231857","https://openalex.org/W1734799737","https://openalex.org/W2110086534","https://openalex.org/W2128912667","https://openalex.org/W2131645490","https://openalex.org/W2139328970","https://openalex.org/W2173213060","https://openalex.org/W2999097477","https://openalex.org/W6637631891","https://openalex.org/W6679046037","https://openalex.org/W6679471073","https://openalex.org/W6680534422"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W2044344400","https://openalex.org/W4253186488","https://openalex.org/W1996938127","https://openalex.org/W2043380045","https://openalex.org/W4231814374","https://openalex.org/W2099557065","https://openalex.org/W2484410460","https://openalex.org/W2250278543","https://openalex.org/W2090243356"],"abstract_inverted_index":{"Big":[0],"Data":[1],"platforms":[2],"often":[3],"need":[4],"to":[5,48,126,173],"support":[6],"emerging":[7],"data":[8,18,27,45,50,62,69,82,123,140,144],"sources":[9],"and":[10,19,31,103,128,150,165],"applications":[11,20],"while":[12],"accommodating":[13],"existing":[14],"ones.":[15],"Since":[16],"different":[17],"have":[21,133,158,177],"varying":[22],"requirements,":[23],"multiple":[24,68],"types":[25],"of":[26,67,120],"stores":[28],"(e.g.":[29],"file-based":[30],"object-based)":[32],"frequently":[33],"co-exist":[34],"in":[35],"the":[36],"same":[37],"solution":[38],"today":[39],"without":[40,56],"proper":[41],"integration.":[42],"Hence":[43],"cross-store":[44],"access,":[46],"key":[47],"effective":[49],"analytics,":[51],"can":[52],"not":[53],"be":[54],"achieved":[55],"laborious":[57],"application":[58,116],"re-programming,":[59],"prohibitively":[60],"expensive":[61],"migration,":[63],"and/or":[64],"costly":[65],"maintenance":[66],"copies.":[70],"We":[71,132,176],"address":[72],"this":[73],"vital":[74],"issue":[75],"by":[76],"introducing":[77],"a":[78,91],"first":[79],"unified":[80],"big":[81],"platform":[83,174],"over":[84],"heterogeneous":[85],"storage.":[86],"In":[87],"particular,":[88],"we":[89,157],"present":[90],"prototype":[92,137],"joining":[93],"Apache":[94],"Hadoop":[95],"MapReduce":[96],"with":[97],"OpenStack's":[98],"open-source":[99],"object":[100],"store":[101],"Swift":[102],"IBM's":[104],"cluster":[105],"file":[106],"system":[107],"GPFS":[108],"<sup":[109],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[110],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">TM</sup>":[111],".":[112],"A":[113],"sentiment":[114],"analysis":[115],"using":[117],"3":[118],"months":[119],"real":[121],"Twitter":[122],"is":[124],"employed":[125],"test":[127],"showcase":[129],"our":[130,136,154],"prototype.":[131],"found":[134],"that":[135],"achieves":[138],"50%":[139],"capacity":[141],"savings,":[142],"eliminates":[143],"migration":[145],"overhead,":[146],"offers":[147],"stronger":[148],"reliability":[149],"enterprise":[151],"support.":[152],"Through":[153],"case":[155],"study,":[156],"learned":[159],"important":[160],"theoretical":[161],"lessons":[162],"concerning":[163],"performance":[164],"reliability,":[166],"as":[167,169],"well":[168],"practical":[170],"ones":[171],"related":[172],"configuration.":[175],"also":[178],"identified":[179],"several":[180],"potentially":[181],"high-impact":[182],"research":[183],"directions.":[184]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}