{"id":"https://openalex.org/W2790010681","doi":"https://doi.org/10.1109/infocom.2018.8485859","title":"Optimizing Network Reliability via Best-First Search over Decision Diagrams","display_name":"Optimizing Network Reliability via Best-First Search over Decision Diagrams","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2790010681","doi":"https://doi.org/10.1109/infocom.2018.8485859","mag":"2790010681"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2018.8485859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8485859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","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/A5101076405","display_name":"Masaaki Nishino","orcid":"https://orcid.org/0000-0001-6489-5446"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaaki Nishino","raw_affiliation_strings":["NTT Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081996202","display_name":"Takeru Inoue","orcid":"https://orcid.org/0000-0003-1411-8010"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeru Inoue","raw_affiliation_strings":["NTT Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090171057","display_name":"Norihito Yasuda","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Norihito Yasuda","raw_affiliation_strings":["NTT Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011807509","display_name":"Shin-ichi Minato","orcid":"https://orcid.org/0000-0002-1397-1020"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shin-Ichi Minato","raw_affiliation_strings":["Hokkaido University, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100520423","display_name":"Masaaki Nagata","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Nagata","raw_affiliation_strings":["NTT Corporation, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Kyoto, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101076405"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":2.055,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84704401,"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":"1817","last_page":"1825"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T10142","display_name":"Formal Methods in Verification","score":0.993399977684021,"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/heuristics","display_name":"Heuristics","score":0.7934987545013428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211855053901672},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.70601487159729},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6475903987884521},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.6404843330383301},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6103119254112244},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5800117254257202},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4316176474094391},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.4130553603172302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28918856382369995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18594574928283691},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17205023765563965}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7934987545013428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211855053901672},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.70601487159729},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6475903987884521},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.6404843330383301},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6103119254112244},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5800117254257202},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4316176474094391},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.4130553603172302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28918856382369995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18594574928283691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17205023765563965},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2018.8485859","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8485859","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6000000238418579,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1965115913","https://openalex.org/W1969483458","https://openalex.org/W1971738442","https://openalex.org/W1987655657","https://openalex.org/W1991536882","https://openalex.org/W1994777730","https://openalex.org/W1996575062","https://openalex.org/W1996857783","https://openalex.org/W2008013300","https://openalex.org/W2011619454","https://openalex.org/W2026913751","https://openalex.org/W2032081889","https://openalex.org/W2049754879","https://openalex.org/W2068003051","https://openalex.org/W2080267935","https://openalex.org/W2082620437","https://openalex.org/W2096363197","https://openalex.org/W2102623833","https://openalex.org/W2111111751","https://openalex.org/W2113136889","https://openalex.org/W2115826669","https://openalex.org/W2118404561","https://openalex.org/W2131163906","https://openalex.org/W2135211390","https://openalex.org/W2142148165","https://openalex.org/W2163372049","https://openalex.org/W2167377888","https://openalex.org/W2576324190","https://openalex.org/W4212856846","https://openalex.org/W4238426377","https://openalex.org/W6680938780"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W2900864464","https://openalex.org/W1536056491","https://openalex.org/W2475480881","https://openalex.org/W2041180560"],"abstract_inverted_index":{"Communication":[0],"networks":[1,67],"are":[2],"an":[3,40,86],"essential":[4],"infrastructure":[5],"and":[6,68,99,143],"must":[7],"be":[8,36,38],"designed":[9],"carefully":[10],"to":[11,35,49,53,62,69,112,136,200],"ensure":[12],"high":[13],"reliability.":[14,105,211],"Identifying":[15],"a":[16,29,80,109,117,130,151,162,176,193,202],"fully":[17],"reliable":[18],"design":[19,92],"is,":[20],"however,":[21],"computationally":[22],"very":[23],"tough":[24],"since":[25],"it":[26,173],"requires":[27],"that":[28,121,168,204],"reliability":[30,94,139],"evaluation,":[31],"which":[32],"is":[33,144,198],"known":[34],"#P-complete,":[37],"repeated":[39],"exponential":[41],"number":[42],"of":[43,65,74,104,150,189],"times.":[44],"Existing":[45],"studies,":[46],"therefore,":[47],"attempt":[48],"avoid":[50],"exact":[51,77,87],"optimization":[52,78],"reduce":[54],"the":[55,63,72,138,148,156,186,209],"computational":[56],"burden":[57],"by":[58],"applying":[59],"heuristics.":[60],"Due":[61],"importance":[64],"communication":[66],"better":[70],"assess":[71],"accuracy":[73],"heuristic":[75,153,159,191,196],"approaches,":[76],"remains":[79],"key":[81],"goal.":[82],"This":[83],"paper":[84],"proposes":[85],"method":[88,107,127,170,184,197],"for":[89,140],"two":[90],"network":[91,177],"problems:":[93],"maximization":[95],"under":[96],"budget":[97],"constraints":[98],"cost":[100],"minimization":[101],"with":[102,178],"assurance":[103],"Our":[106,126],"employs":[108,128],"common":[110],"idea":[111],"solve":[113],"these":[114],"problems,":[115],"i.e.,":[116],"best-first":[118],"search":[119,163],"algorithm":[120],"runs":[122],"on":[123],"decision":[124,133],"diagrams.":[125],"just":[129],"single":[131],"binary":[132],"diagram":[134],"(BDD)":[135],"compute":[137],"any":[141],"solution":[142,203],"also":[145],"used":[146],"as":[147,161],"basis":[149],"novel":[152],"function,":[154,160],"called":[155],"cost-aware":[157],"BDD":[158],"guide.":[164],"Numerical":[165],"experiments":[166],"show":[167],"our":[169,183],"scales":[171],"well;":[172],"successfully":[174],"optimizes":[175],"189":[179],"links.":[180],"In":[181],"addition,":[182],"reveals":[185],"poor":[187],"performance":[188],"existing":[190,195],"approaches;":[192],"well-known":[194],"shown":[199],"yield":[201],"offers":[205],"less":[206],"than":[207],"half":[208],"optimal":[210]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}