{"id":"https://openalex.org/W2017387861","doi":"https://doi.org/10.1109/ijcnn.2007.4371337","title":"Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic","display_name":"Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W2017387861","doi":"https://doi.org/10.1109/ijcnn.2007.4371337","mag":"2017387861"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2007.4371337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371337","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","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/A5028745432","display_name":"Guillermo Navarro\u2010Arribas","orcid":"https://orcid.org/0000-0003-3535-942X"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guillermo Navarro","raw_affiliation_strings":["Hewlett Packard Company, Boise, ID, USA","Hewlett-Packard, Boise"],"affiliations":[{"raw_affiliation_string":"Hewlett Packard Company, Boise, ID, USA","institution_ids":["https://openalex.org/I1324840837"]},{"raw_affiliation_string":"Hewlett-Packard, Boise","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032679061","display_name":"Milos Manic","orcid":"https://orcid.org/0000-0003-1484-7678"},"institutions":[{"id":"https://openalex.org/I155093810","display_name":"University of Idaho","ror":"https://ror.org/03hbp5t65","country_code":"US","type":"education","lineage":["https://openalex.org/I155093810"]},{"id":"https://openalex.org/I4210124248","display_name":"Center for Advanced Energy Studies","ror":"https://ror.org/037bhg174","country_code":"US","type":"education","lineage":["https://openalex.org/I4210124248"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Milos Manic","raw_affiliation_strings":["University of Idaho, Idaho Falls, Idaho Falls, USA","University of Idaho at Idaho Falls., Idaho Falls, 83402, USA. Email: misko@uidaho.edu"],"affiliations":[{"raw_affiliation_string":"University of Idaho, Idaho Falls, Idaho Falls, USA","institution_ids":["https://openalex.org/I4210124248","https://openalex.org/I155093810"]},{"raw_affiliation_string":"University of Idaho at Idaho Falls., Idaho Falls, 83402, USA. Email: misko@uidaho.edu","institution_ids":["https://openalex.org/I155093810"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028745432"],"corresponding_institution_ids":["https://openalex.org/I1324840837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16933016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2421","last_page":"2426"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9987999796867371,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8172062039375305},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.7128353714942932},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5953280329704285},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.5341386198997498},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.49069249629974365},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4753971993923187},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4690936803817749},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1458946168422699},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.13542792201042175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11105287075042725},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10232922434806824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09165456891059875}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8172062039375305},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.7128353714942932},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5953280329704285},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5341386198997498},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.49069249629974365},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4753971993923187},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4690936803817749},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1458946168422699},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.13542792201042175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11105287075042725},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10232922434806824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09165456891059875},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2007.4371337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2007.4371337","pdf_url":null,"source":{"id":"https://openalex.org/S4210195743","display_name":"IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks","issn_l":"1098-7576","issn":["1098-7576","1558-3902"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 International Joint Conference on Neural Networks","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.572.4321","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.572.4321","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mhrg.if.uidaho.edu/papers/2007/IJCNN07_Guillermo_EMail.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W149299502","https://openalex.org/W582863828","https://openalex.org/W1555915743","https://openalex.org/W1829547464","https://openalex.org/W1992227511","https://openalex.org/W1996989781","https://openalex.org/W2024380379","https://openalex.org/W2095939858","https://openalex.org/W2101212382","https://openalex.org/W2104780663","https://openalex.org/W2132670859","https://openalex.org/W2133462644","https://openalex.org/W2146018441","https://openalex.org/W2147504831","https://openalex.org/W2147853062","https://openalex.org/W2165439624","https://openalex.org/W2725179571","https://openalex.org/W2911454810","https://openalex.org/W4248578633","https://openalex.org/W6616898748","https://openalex.org/W6758451896"],"related_works":["https://openalex.org/W2379651310","https://openalex.org/W2113019827","https://openalex.org/W1541249122","https://openalex.org/W2084326697","https://openalex.org/W2027903142","https://openalex.org/W2354322608","https://openalex.org/W2804608325","https://openalex.org/W2077211377","https://openalex.org/W2413828414","https://openalex.org/W2186675474"],"abstract_inverted_index":{"The":[0,39,48,145],"performability":[1,26,32,49,97,103],"of":[2,14,34,56,99,116,122,136,154,157,159,166,171],"disk":[3,138],"arrays":[4],"systems":[5],"has":[6],"been":[7],"studied":[8],"before.":[9],"However,":[10],"in":[11,149],"the":[12,22,25,54,75,81,114,120,124,132,137,142,155,161],"case":[13],"imprecise":[15,70],"data,":[16],"a":[17,31,44,100,106],"fuzzy":[18,57,63,90,146],"model":[19],"can":[20,66,127],"be":[21],"base":[23],"for":[24,94],"analysis.":[27],"This":[28,102],"paper":[29],"presents":[30],"analysis":[33,40,50,98,104],"an":[35],"MSExchange-like":[36],"e-mail":[37],"server.":[38,144],"is":[41,51,164],"based":[42],"on":[43],"Markov":[45,61,64,86],"reward":[46],"model.":[47],"accomplished":[52],"through":[53],"use":[55],"arithmetic.":[58],"Unlike":[59],"traditional":[60],"chains,":[62],"chains":[65],"successfully":[67],"handle":[68],"uncertain,":[69,85],"probabilities.":[71],"In":[72],"cases":[73],"where":[74],"failure":[76],"rates,":[77,79],"repair":[78],"or":[80],"workload":[82],"parameters":[83],"are":[84],"Chains":[87],"enhanced":[88],"with":[89,129],"arithmetic":[91,147],"provide":[92],"means":[93],"comprehensive":[95],"predictive":[96],"system.":[101],"provides":[105],"valuable":[107],"guideline":[108],"regarding":[109],"required":[110],"resources":[111],"such":[112],"as":[113],"number":[115,121,158],"mailboxes,":[117],"and":[118,134,152],"therefore,":[119],"users":[123,160],"mail":[125,143,162],"server":[126,163],"support":[128],"regards":[130],"to":[131],"reliability":[133],"performance":[135],"array":[139],"used":[140],"by":[141],"helps":[148],"better":[150],"visualization":[151],"estimation":[153],"range":[156],"capable":[165],"servicing":[167],"over":[168],"long":[169],"periods":[170],"time.":[172]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
