{"id":"https://openalex.org/W2552793349","doi":"https://doi.org/10.1109/iccd.2016.7753264","title":"Using Provenance to boost the Metadata Prefetching in distributed storage systems","display_name":"Using Provenance to boost the Metadata Prefetching in distributed storage systems","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2552793349","doi":"https://doi.org/10.1109/iccd.2016.7753264","mag":"2552793349"},"language":"en","primary_location":{"id":"doi:10.1109/iccd.2016.7753264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2016.7753264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","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/A5114255612","display_name":"Guojin Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojin Wu","raw_affiliation_strings":["Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073135288","display_name":"Yuhui Deng","orcid":"https://orcid.org/0000-0002-1522-8943"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Deng","raw_affiliation_strings":["Department of Computer Science, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042766429","display_name":"Xiao Qin","orcid":"https://orcid.org/0000-0002-8345-3587"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Qin","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama, USA","institution_ids":["https://openalex.org/I82497590"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2954,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66510033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"10","issue":null,"first_page":"80","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9984999895095825,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.9436058402061462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8335767984390259},{"id":"https://openalex.org/keywords/provenance","display_name":"Provenance","score":0.6429265737533569},{"id":"https://openalex.org/keywords/file-system","display_name":"File system","score":0.5449860692024231},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.49654728174209595},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.49269822239875793},{"id":"https://openalex.org/keywords/metadata-management","display_name":"Metadata management","score":0.44234076142311096},{"id":"https://openalex.org/keywords/nexus","display_name":"Nexus (standard)","score":0.4130132794380188},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38957059383392334},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2647038698196411},{"id":"https://openalex.org/keywords/petrology","display_name":"Petrology","score":0.06447833776473999},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.05756908655166626}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.9436058402061462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335767984390259},{"id":"https://openalex.org/C2780049196","wikidata":"https://www.wikidata.org/wiki/Q23582628","display_name":"Provenance","level":2,"score":0.6429265737533569},{"id":"https://openalex.org/C2780940931","wikidata":"https://www.wikidata.org/wiki/Q174989","display_name":"File system","level":2,"score":0.5449860692024231},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.49654728174209595},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.49269822239875793},{"id":"https://openalex.org/C2779489174","wikidata":"https://www.wikidata.org/wiki/Q6822246","display_name":"Metadata management","level":3,"score":0.44234076142311096},{"id":"https://openalex.org/C148609458","wikidata":"https://www.wikidata.org/wiki/Q7021281","display_name":"Nexus (standard)","level":2,"score":0.4130132794380188},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38957059383392334},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2647038698196411},{"id":"https://openalex.org/C5900021","wikidata":"https://www.wikidata.org/wiki/Q163082","display_name":"Petrology","level":1,"score":0.06447833776473999},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.05756908655166626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccd.2016.7753264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2016.7753264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 34th International Conference on Computer Design (ICCD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W25727798","https://openalex.org/W1559528097","https://openalex.org/W1677118421","https://openalex.org/W1883937078","https://openalex.org/W1989878688","https://openalex.org/W2025669595","https://openalex.org/W2067545467","https://openalex.org/W2074417445","https://openalex.org/W2081276694","https://openalex.org/W2096272167","https://openalex.org/W2112525062","https://openalex.org/W2115466528","https://openalex.org/W2119565742","https://openalex.org/W2128226234","https://openalex.org/W2143351774","https://openalex.org/W2145038813","https://openalex.org/W2156095355","https://openalex.org/W2162546229","https://openalex.org/W2187652876","https://openalex.org/W4252943218","https://openalex.org/W6637299323"],"related_works":["https://openalex.org/W3126909309","https://openalex.org/W4256360871","https://openalex.org/W2747100754","https://openalex.org/W2354627941","https://openalex.org/W3117832639","https://openalex.org/W2898619034","https://openalex.org/W2131894525","https://openalex.org/W4285137472","https://openalex.org/W2511483174","https://openalex.org/W2465577532"],"abstract_inverted_index":{"Caching":[0],"and":[1,46,59,81,93,98,106,152,159],"prefetching":[2,27,117,163],"are":[3],"effective":[4],"approaches":[5],"to":[6,113,118,150,156],"boosting":[7],"the":[8,36,42,47,53,64,82,89,120,124,140,145],"performance":[9,121],"of":[10,66],"metadata":[11,26,67,116,162],"access":[12,33,85,100],"in":[13,23,154],"distributed":[14],"storage":[15],"systems.":[16],"Many":[17],"research":[18],"efforts":[19],"have":[20],"been":[21],"devoted":[22],"developing":[24],"new":[25],"methods":[28,38,54],"by":[29,122,148],"considering":[30],"past":[31,83,99],"file":[32,50,84],"patterns.":[34,86],"However,":[35],"existing":[37,141],"do":[39],"not":[40],"consider":[41],"correlations":[43,90],"between":[44,91],"processes":[45,92],"corresponding":[48,94],"files(e.g.":[49],"provenance).":[51],"Therefore,":[52],"cannot":[55],"obtain":[56],"very":[57],"rich":[58,107],"accurate":[60,105],"correlations,":[61],"thus":[62],"decreasing":[63],"effectiveness":[65],"prefetching.":[68],"This":[69],"paper":[70],"presents":[71],"a":[72,160],"Provenance-based":[73],"Metadata":[74],"Prefetching(ProMP)":[75],"scheme,":[76],"which":[77],"considers":[78],"both":[79],"provenance":[80,97],"Through":[87],"mining":[88],"files":[95],"from":[96],"history,":[101],"ProMP":[102,110,131],"can":[103],"achieve":[104],"correlation":[108],"information.":[109],"is":[111],"conducive":[112],"employing":[114],"aggressive":[115],"boost":[119],"leveraging":[123],"correlations.":[125],"Our":[126],"experimental":[127],"results":[128],"show":[129],"that":[130],"performs":[132],"more":[133],"effectively":[134],"with":[135],"less":[136],"memory":[137],"overhead":[138],"than":[139],"solutions,":[142],"while":[143],"improving":[144],"hit":[146],"rates":[147],"up":[149],"49%":[151],"7%":[153],"contrast":[155],"traditional":[157],"LRU":[158],"state-of-art":[161],"algorithm":[164],"Nexus,":[165],"respectively.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}