{"id":"https://openalex.org/W2293866394","doi":"https://doi.org/10.1109/ipdpsw.2010.5470695","title":"Diagnosing permanent faults in distributed and parallel computing systems using artificial neural networks","display_name":"Diagnosing permanent faults in distributed and parallel computing systems using artificial neural networks","publication_year":2010,"publication_date":"2010-04-01","ids":{"openalex":"https://openalex.org/W2293866394","doi":"https://doi.org/10.1109/ipdpsw.2010.5470695","mag":"2293866394"},"language":"en","primary_location":{"id":"doi:10.1109/ipdpsw.2010.5470695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw.2010.5470695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Parallel &amp; Distributed Processing, Workshops and Phd Forum (IPDPSW)","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/A5063416376","display_name":"Mourad Elhadef","orcid":"https://orcid.org/0000-0003-4085-7634"},"institutions":[{"id":"https://openalex.org/I117222138","display_name":"Abu Dhabi University","ror":"https://ror.org/01r3kjq03","country_code":"AE","type":"education","lineage":["https://openalex.org/I117222138"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Mourad Elhadef","raw_affiliation_strings":["College of Engineering and Computer Science, Abu Dhabi University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Abu Dhabi University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I117222138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063416376"],"corresponding_institution_ids":["https://openalex.org/I117222138"],"apc_list":null,"apc_paid":null,"fwci":0.5868,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64761905,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9944000244140625,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9944000244140625,"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/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9696000218391418,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.8106489181518555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7766323685646057},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6139451861381531},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5507038831710815},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5334147810935974},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49882054328918457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4146220088005066},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3507787883281708}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.8106489181518555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7766323685646057},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6139451861381531},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5507038831710815},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5334147810935974},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49882054328918457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4146220088005066},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3507787883281708},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipdpsw.2010.5470695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipdpsw.2010.5470695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Parallel &amp; Distributed Processing, Workshops and Phd Forum (IPDPSW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1606551523","https://openalex.org/W1607402491","https://openalex.org/W1858151836","https://openalex.org/W1923396242","https://openalex.org/W1970633727","https://openalex.org/W1975564985","https://openalex.org/W1998719936","https://openalex.org/W2002016471","https://openalex.org/W2003948338","https://openalex.org/W2033579026","https://openalex.org/W2037529689","https://openalex.org/W2041211631","https://openalex.org/W2050549477","https://openalex.org/W2066158680","https://openalex.org/W2077459347","https://openalex.org/W2079290705","https://openalex.org/W2086934045","https://openalex.org/W2088955772","https://openalex.org/W2102792914","https://openalex.org/W2128608537","https://openalex.org/W2132956842","https://openalex.org/W2137296201","https://openalex.org/W2139438218","https://openalex.org/W4212786464"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2372829958","https://openalex.org/W2394308601"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,89],"the":[4,19,33,72,75,90,102,128,139,160,177,183,196,199],"problem":[5,98],"of":[6,32,46,74,99,104,107,132,179,198],"identifying":[7,101],"faulty":[8,55,64,67,105,174],"nodes":[9],"(or":[10],"units)":[11],"in":[12,83],"diagnosable":[13,109,153,188],"distributed":[14],"and":[15,36,86,93,148,186],"parallel":[16],"systems":[17,189],"under":[18],"PMC":[20,76],"model.":[21],"In":[22,116],"this":[23,97,117],"model,":[24,77],"each":[25],"unit":[26],"is":[27,38,49,181],"tested":[28],"by":[29],"a":[30,43,108,121],"subset":[31,45],"other":[34],"units,":[35],"it":[37],"assumed":[39],"that,":[40],"at":[41],"most,":[42],"bounded":[44],"these":[47],"units":[48,56,62,68,106],"permanently":[50],"faulty.":[51],"When":[52],"performing":[53],"testing,":[54],"can":[57],"incorrectly":[58],"claim":[59],"that":[60,66,159],"fault-free":[61],"are":[63,69],"or":[65],"fault-free.":[70],"Since":[71],"introduction":[73],"significant":[78],"progress":[79],"has":[80,145],"been":[81,146,191],"made":[82],"both":[84],"theory":[85],"practice":[87],"associated":[88],"original":[91],"model":[92],"its":[94],"offshoots.":[95],"Nevertheless,":[96],"efficiently":[100],"set":[103],"system":[110],"remained":[111],"an":[112,167],"outstanding":[113],"research":[114],"issue.":[115],"paper,":[118],"we":[119],"describe":[120],"new":[122,161,200],"neural-network-based":[123,162,201],"diagnosis":[124,140,171,202],"algorithm,":[125],"which":[126],"exploits":[127],"off-line":[129],"learning":[130],"phase":[131],"artificial":[133],"neural":[134],"network":[135],"to":[136,169,194],"speed":[137],"up":[138],"algorithm.":[141,203],"The":[142,155],"novel":[143],"approach":[144,165],"implemented":[147],"evaluated":[149],"using":[150],"randomly":[151],"generated":[152],"systems.":[154],"simulation":[156],"results":[157],"showed":[158],"fault":[163],"identification":[164],"constitutes":[166],"addition":[168],"existing":[170],"algorithms.":[172],"Extreme":[173],"situations,":[175],"where":[176],"number":[178],"faults":[180],"around":[182],"bound":[184],"t,":[185],"large":[187],"have":[190],"also":[192],"experimented":[193],"show":[195],"efficiency":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
