{"id":"https://openalex.org/W7124179545","doi":"https://doi.org/10.1109/icpads67057.2025.11323067","title":"DTAFormer: A Disk Failure Prediction Model Fusing Temporal Change Perception with Dual-Dimension Attention","display_name":"DTAFormer: A Disk Failure Prediction Model Fusing Temporal Change Perception with Dual-Dimension Attention","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124179545","doi":"https://doi.org/10.1109/icpads67057.2025.11323067"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5123037181","display_name":"Ming Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhong","raw_affiliation_strings":["School of Cyberspace Security, Hainan University,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Hainan University,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122996370","display_name":"Jie Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Sun","raw_affiliation_strings":["Zhongguancun Laboratory,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongguancun Laboratory,Beijing,China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109716075","display_name":"Bing Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Wei","raw_affiliation_strings":["School of Cyberspace Security, Hainan University,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Hainan University,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059764362","display_name":"Yunuo Li","orcid":"https://orcid.org/0009-0001-9659-5365"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuheng Li","raw_affiliation_strings":["School of Cyberspace Security, Hainan University,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Hainan University,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059764362","display_name":"Yunuo Li","orcid":"https://orcid.org/0009-0001-9659-5365"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Li","raw_affiliation_strings":["School of Cyberspace Security, Hainan University,Haikou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyberspace Security, Hainan University,Haikou,China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122996207","display_name":"Ting Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["East China Normal University,Shanghai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University,Shanghai,China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.6402000188827515,"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":0.6402000188827515,"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/T12127","display_name":"Software System Performance and Reliability","score":0.059300001710653305,"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/T11719","display_name":"Data Quality and Management","score":0.026399999856948853,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/key","display_name":"Key (lock)","score":0.567799985408783},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5200999975204468},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5081999897956848},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.47429999709129333},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.41999998688697815},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3792000114917755},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3334999978542328},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.313400000333786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.769599974155426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636900007724762},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.567799985408783},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5081999897956848},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.47429999709129333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43540000915527344},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.41999998688697815},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C2781009140","wikidata":"https://www.wikidata.org/wiki/Q7170389","display_name":"Persistence (discontinuity)","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.30640000104904175},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4037118285","display_name":"\u591a\u8d1f\u8f7d\u4f4e\u5e26\u5bbd\u5b58\u50a8\u4ecb\u8d28\u65b0\u578b\u7684\u590d\u5408\u73af\u5883\u4e0b\u7ea0\u5220\u7801\u6570\u636e\u667a\u80fd\u66f4\u65b0\u4e0e\u5747\u8861\u4fee\u590d\u65b9\u6cd5\u7814\u7a76","funder_award_id":"624RC482","funder_id":"https://openalex.org/F4320322866","funder_display_name":"Natural Science Foundation of Hainan Province"},{"id":"https://openalex.org/G5655690108","display_name":null,"funder_award_id":"62362019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322866","display_name":"Natural Science Foundation of Hainan Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2008183828","https://openalex.org/W2319441181","https://openalex.org/W2895881122","https://openalex.org/W2900006920","https://openalex.org/W3090155366","https://openalex.org/W3107370826","https://openalex.org/W3134530255","https://openalex.org/W3139002278","https://openalex.org/W3201596519","https://openalex.org/W4285817371","https://openalex.org/W4323317383","https://openalex.org/W4391579685","https://openalex.org/W4396242546","https://openalex.org/W4399219302","https://openalex.org/W4401114302","https://openalex.org/W4403474955","https://openalex.org/W4407901498","https://openalex.org/W4409495454","https://openalex.org/W4411027770","https://openalex.org/W4411203632"],"related_works":[],"abstract_inverted_index":{"Disk":[0],"failure":[1,54],"prediction":[2,11],"is":[3],"crucial":[4],"for":[5,52],"enhancing":[6],"data":[7],"reliability.":[8],"Achieving":[9],"high-precision":[10],"requires":[12],"effectively":[13],"capturing":[14],"\u201cdynamic":[15,80],"events\u201d\u2014abrupt":[16],"temporal":[17,46],"changes":[18],"in":[19,65],"disk":[20,53],"attribute":[21],"values\u2014and":[22],"deeply":[23],"understanding":[24],"\u201cstatic":[25,91],"states\u201d\u2014the":[26],"complex":[27],"synergistic":[28],"relationships":[29],"among":[30],"multi-dimensional":[31],"features.":[32],"To":[33],"this":[34],"end,":[35],"we":[36],"propose":[37],"DTAFormer,":[38],"a":[39,69,84,94],"novel":[40,95],"deep":[41],"learning":[42],"model":[43],"that":[44,118],"fuses":[45],"change":[47],"perception":[48],"with":[49,75],"dual-dimension":[50,85],"attention":[51,86,97],"prediction.":[55],"DTAFormer":[56,119],"forecasts":[57],"failures":[58],"by":[59,130],"processing":[60],"two":[61,106],"key":[62],"information":[63,108],"streams":[64],"parallel:":[66],"it":[67],"employs":[68],"strategy":[70],"of":[71,104,124],"adaptive":[72],"thresholding":[73],"combined":[74],"persistence":[76],"validation":[77],"to":[78,88],"capture":[79],"events\u201d,":[81],"while":[82],"leveraging":[83],"mechanism":[87,98],"profoundly":[89],"explore":[90],"states\u201d.":[92],"Ultimately,":[93],"cross-gated":[96],"facilitates":[99],"robust":[100],"and":[101],"efficient":[102],"integration":[103],"these":[105],"heterogeneous":[107],"types.":[109],"Extensive":[110],"experiments":[111],"on":[112],"the":[113,127],"real-world":[114],"Backblaze":[115],"dataset":[116],"demonstrate":[117],"achieves":[120],"an":[121],"average":[122],"F1-score":[123],"96.90%,":[125],"outperforming":[126],"state-of-the-art":[128],"method":[129],"18.9%.":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-01-15T00:00:00"}
