{"id":"https://openalex.org/W2912389474","doi":"https://doi.org/10.1109/bigdata.2018.8622181","title":"LaHiIO: Accelerating Persistent Big Data Machine Learning via Latency Hiding IOs","display_name":"LaHiIO: Accelerating Persistent Big Data Machine Learning via Latency Hiding IOs","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2912389474","doi":"https://doi.org/10.1109/bigdata.2018.8622181","mag":"2912389474"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5011533814","display_name":"Ahmad O. Aseeri","orcid":"https://orcid.org/0000-0001-9863-4551"},"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":"Ahmad O. Aseeri","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, United States","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028690312","display_name":"Yu Zhuang","orcid":"https://orcid.org/0000-0003-2717-1777"},"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":"Yu Zhuang","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, United States","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041388008","display_name":"Mohammed Saeed Alkatheiri","orcid":"https://orcid.org/0000-0001-8172-8375"},"institutions":[{"id":"https://openalex.org/I4210099699","display_name":"Jeddah University","ror":"https://ror.org/015ya8798","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210099699"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Mohammed Saeed Alkatheiri","raw_affiliation_strings":["Faculty of Computing and Information Technology, University of Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computing and Information Technology, University of Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I4210099699"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036783104","display_name":"Bipana Thapaliya","orcid":"https://orcid.org/0000-0002-5103-9330"},"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":"Bipana Thapaliya","raw_affiliation_strings":["Department of Computer Science, Texas Tech University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Texas Tech University, United States","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011533814"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20455043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"400","issue":null,"first_page":"2063","last_page":"2070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.998199999332428,"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":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8448221683502197},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7263942956924438},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.7165096998214722},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.6918790936470032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5997429490089417},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5776812434196472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5478248000144958},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5418092012405396},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5161948800086975},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5042906999588013},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5038041472434998},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4328402876853943},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42381733655929565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24609464406967163},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13667339086532593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8448221683502197},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7263942956924438},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.7165096998214722},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.6918790936470032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5997429490089417},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5776812434196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5478248000144958},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5418092012405396},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5161948800086975},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5042906999588013},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5038041472434998},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4328402876853943},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42381733655929565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24609464406967163},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13667339086532593},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622181","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622181","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1651093245","https://openalex.org/W2057907879","https://openalex.org/W2125621954","https://openalex.org/W2127218421","https://openalex.org/W2150593711","https://openalex.org/W2257086086","https://openalex.org/W2585372799","https://openalex.org/W2587094051","https://openalex.org/W2794909561","https://openalex.org/W2893712976","https://openalex.org/W3103589224","https://openalex.org/W6637231022","https://openalex.org/W6678914141","https://openalex.org/W6928977591"],"related_works":["https://openalex.org/W2116677773","https://openalex.org/W3205411230","https://openalex.org/W4286899009","https://openalex.org/W9168048","https://openalex.org/W4300849822","https://openalex.org/W4376480820","https://openalex.org/W3155891479","https://openalex.org/W2732621488","https://openalex.org/W3029351463","https://openalex.org/W4308600690"],"abstract_inverted_index":{"The":[0],"increasing":[1],"use":[2,140],"of":[3,107,141,152,199],"big":[4,41,145,209],"datasets":[5,25],"by":[6,112,148],"analytics":[7,122],"applications":[8,123,147],"for":[9,40,119,129,181,208],"higher":[10,15],"predictive":[11],"power":[12],"leads":[13],"to":[14,65,70,137,172,194],"processing":[16],"overhead,":[17],"and":[18,49,100,124,174,183,203],"the":[19,139,169,178,197,200],"overhead":[20,39,67],"becomes":[21],"more":[22],"substantial":[23],"when":[24,77],"are":[26],"larger":[27],"than":[28],"memory":[29],"capacity.":[30],"In":[31],"this":[32,91],"paper,":[33],"we":[34,93,135],"focus":[35],"on":[36],"reducing":[37],"I/O":[38,53,66,96,110],"data":[42,54,121,146,210],"machine":[43,211],"learning":[44,212],"procedures,":[45,177],"including":[46],"both":[47],"unsupervised":[48,182],"supervised":[50,184],"learning.":[51],"While":[52],"are,":[55],"in":[56,60,144,187],"general,":[57],"not":[58,116,162],"reducible":[59],"well-developed":[61],"applications,":[62],"our":[63],"approach":[64],"reduction":[68],"is":[69,80,87],"overlap":[71],"I/O's":[72],"with":[73],"computations":[74],"so":[75],"that":[76],"an":[78,82,95,101],"application":[79],"performing":[81],"I/O,":[83],"other":[84],"useful":[85],"computation":[86],"also":[88],"processed.":[89],"To":[90],"end,":[92],"develop":[94],"latency-hiding":[97],"(LaHiIO)":[98],"strategy":[99,171,202],"enabling":[102,205],"easy-to-use":[103],"API,":[104],"a":[105,149],"wrapper":[106],"existing":[108],"asynchronous":[109],"operations,":[111],"hiding":[113],"away":[114],"features":[115],"likely":[117],"needed":[118],"general":[120],"keeping":[125],"only":[126],"those":[127],"necessary":[128],"computation-I/O":[130,142],"overlapping.":[131],"By":[132],"doing":[133],"so,":[134],"aim":[136],"increase":[138],"overlapping":[143],"broad":[150],"range":[151],"developers":[153],"who":[154],"could":[155],"be":[156],"physicists,":[157],"chemists,":[158],"biologists,":[159],"engineers,":[160],"but":[161],"necessarily":[163],"system":[164],"programming":[165],"experts.":[166],"We":[167],"apply":[168],"LaHiIO":[170,201],"clustering":[173],"neural":[175],"network":[176],"common":[179],"choices":[180],"learning,":[185],"resulting":[186],"significant":[188],"performance":[189],"enhancement":[190],"from":[191],"about":[192],"10%":[193],"150%,":[195],"indicating":[196],"effectiveness":[198],"its":[204],"user-friendly":[206],"API":[207],"applications.":[213]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}