{"id":"https://openalex.org/W4411800408","doi":"https://doi.org/10.1109/ccgrid64434.2025.00037","title":"Dial: Decentralized I/O Autotuning Via Learned Client-Side Local Metrics for Parallel File System","display_name":"Dial: Decentralized I/O Autotuning Via Learned Client-Side Local Metrics for Parallel File System","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4411800408","doi":"https://doi.org/10.1109/ccgrid64434.2025.00037"},"language":"en","primary_location":{"id":"doi:10.1109/ccgrid64434.2025.00037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid64434.2025.00037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2602.22392","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077892555","display_name":"Muhammad Rashid","orcid":"https://orcid.org/0000-0001-5852-1296"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md Hasanur Rashid","raw_affiliation_strings":["University of Delaware,Department of Computer and Information Sciences,Newark,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer and Information Sciences,Newark,US","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102519443","display_name":"Xinyi Li","orcid":"https://orcid.org/0009-0000-7349-1849"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyi Li","raw_affiliation_strings":["Iowa State University,Department of Electrical and Computer Engineering,Ames,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University,Department of Electrical and Computer Engineering,Ames,US","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101062085","display_name":"Youbiao He","orcid":null},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youbiao He","raw_affiliation_strings":["Iowa State University,Department of Electrical and Computer Engineering,Ames,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Iowa State University,Department of Electrical and Computer Engineering,Ames,US","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008923050","display_name":"Forrest Sheng Bao","orcid":"https://orcid.org/0000-0002-5722-5337"},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Forrest Sheng Bao","raw_affiliation_strings":["University of Delaware,Department of Computer and Information Sciences,Newark,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer and Information Sciences,Newark,US","institution_ids":["https://openalex.org/I86501945"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114025489","display_name":"Dong Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I86501945","display_name":"University of Delaware","ror":"https://ror.org/01sbq1a82","country_code":"US","type":"education","lineage":["https://openalex.org/I86501945"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Dai","raw_affiliation_strings":["University of Delaware,Department of Computer and Information Sciences,Newark,US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Delaware,Department of Computer and Information Sciences,Newark,US","institution_ids":["https://openalex.org/I86501945"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.7623,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97656569,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"04"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9994999766349792,"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":0.9994999766349792,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9860000014305115,"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"}},{"id":"https://openalex.org/T12162","display_name":"Cellular Automata and Applications","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7508952617645264},{"id":"https://openalex.org/keywords/dial","display_name":"Dial","score":0.5665935277938843},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.4480408728122711},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3562546372413635},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.33005860447883606},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1091424822807312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508952617645264},{"id":"https://openalex.org/C2779710594","wikidata":"https://www.wikidata.org/wiki/Q4151234","display_name":"Dial","level":2,"score":0.5665935277938843},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.4480408728122711},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3562546372413635},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.33005860447883606},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1091424822807312},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ccgrid64434.2025.00037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccgrid64434.2025.00037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2602.22392","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2602.22392","pdf_url":"https://arxiv.org/pdf/2602.22392","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2602.22392","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2602.22392","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2602.22392","pdf_url":"https://arxiv.org/pdf/2602.22392","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8017972125","display_name":"CNS Core: Small: Moving Machine Learning into the Next-Generation Cloud Flexibly, Agilely and Efficiently","funder_award_id":"2008265","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W25727798","https://openalex.org/W2734941459","https://openalex.org/W2914097545","https://openalex.org/W2922457781","https://openalex.org/W3041198117","https://openalex.org/W4317462360","https://openalex.org/W4321636856","https://openalex.org/W4406157396","https://openalex.org/W6601062244","https://openalex.org/W6753531611","https://openalex.org/W6780200793","https://openalex.org/W6849177480","https://openalex.org/W6980422918"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2002530021","https://openalex.org/W1541183083","https://openalex.org/W2377291837","https://openalex.org/W1610756803","https://openalex.org/W1566343967","https://openalex.org/W340370915","https://openalex.org/W4253901018"],"abstract_inverted_index":{"Enabling":[0],"efficient,":[1],"high-performance":[2],"data":[3],"access":[4],"in":[5,82,161,166],"parallel":[6],"file":[7],"systems":[8,165],"(PFS)":[9],"is":[10,159],"critical":[11],"for":[12,176],"today's":[13],"highperformance":[14],"computing":[15],"systems.":[16,84],"PFS":[17],"client-side":[18,37],"I/O":[19,24,38,68,92,112,123,173],"heavily":[20,52],"impacts":[21],"the":[22,31,35,75,110,139,162,177],"final":[23],"performance":[25,174],"delivered":[26],"to":[27,61,77,108,150,157],"individual":[28],"applications":[29],"and":[30,44,63,129,170],"entire":[32],"system.":[33],"Autotuning":[34],"key":[36],"behaviors":[39],"has":[40,51],"been":[41],"extensively":[42],"studied":[43],"shows":[45],"promising":[46],"results.":[47],"However,":[48],"existing":[49],"work":[50],"relied":[53],"on":[54],"extensive":[55],"number":[56],"of":[57,66,106,114,141],"global":[58,111,163],"runtime":[59],"metrics":[60],"monitor":[62],"accurate":[64],"modeling":[65],"applications'":[67],"patterns.":[69],"Such":[70],"heavy":[71],"overheads":[72],"significantly":[73],"limit":[74],"ability":[76],"enable":[78],"fine-grained,":[79],"dynamic":[80],"tuning":[81,130],"practical":[83],"In":[85],"this":[86],"study,":[87],"we":[88],"propose":[89],"DIAL":[90,116,145],"(Decentralized":[91],"AutoTuning":[93],"via":[94],"Learned":[95],"Client-side":[96],"Local":[97],"Metrics)":[98],"which":[99],"takes":[100,117],"a":[101,118,167],"drastically":[102],"different":[103],"approach.":[104],"Instead":[105],"trying":[107],"extract":[109],"patterns":[113],"applications,":[115],"decentralized":[119],"approach,":[120],"treating":[121],"each":[122],"client":[124],"as":[125],"an":[126],"independent":[127,152],"unit":[128],"configurations":[131],"using":[132],"only":[133],"its":[134],"locally":[135],"observable":[136],"metrics.":[137],"With":[138],"help":[140],"machine":[142],"learning":[143],"models,":[144],"enables":[146],"multiple":[147],"tunable":[148],"units":[149],"make":[151],"but":[153],"collective":[154],"decisions,":[155],"reacting":[156],"what":[158],"happening":[160],"storage":[164],"timely":[168],"manner":[169],"achieving":[171],"better":[172],"globally":[175],"application.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
