{"id":"https://openalex.org/W3032745867","doi":"https://doi.org/10.1145/3318464.3389735","title":"Distributed Processing of k Shortest Path Queries over Dynamic Road Networks","display_name":"Distributed Processing of k Shortest Path Queries over Dynamic Road Networks","publication_year":2020,"publication_date":"2020-05-29","ids":{"openalex":"https://openalex.org/W3032745867","doi":"https://doi.org/10.1145/3318464.3389735","mag":"3032745867"},"language":"en","primary_location":{"id":"doi:10.1145/3318464.3389735","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3389735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"},"type":"preprint","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/A5039555629","display_name":"Ziqiang Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqiang Yu","raw_affiliation_strings":["Yantai University, Yantai, China"],"affiliations":[{"raw_affiliation_string":"Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071285426","display_name":"Xiaohui Yu","orcid":"https://orcid.org/0000-0001-8170-2327"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaohui Yu","raw_affiliation_strings":["York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035257754","display_name":"Nick Koudas","orcid":"https://orcid.org/0000-0001-5648-0638"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Koudas","raw_affiliation_strings":["University of Toronto, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356168","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-3989-1552"},"institutions":[{"id":"https://openalex.org/I75381157","display_name":"Wilfrid Laurier University","ror":"https://ror.org/00fn7gb05","country_code":"CA","type":"education","lineage":["https://openalex.org/I75381157"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Wilfrid Laurier University, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Wilfrid Laurier University, Waterloo, Canada","institution_ids":["https://openalex.org/I75381157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427013","display_name":"Yifan Li","orcid":"https://orcid.org/0000-0001-6550-3002"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yifan Li","raw_affiliation_strings":["York University, Toronto, Canada and Key Laboratory of Urban Land Resources Monitoring and Simulation, MNR, China"],"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada and Key Laboratory of Urban Land Resources Monitoring and Simulation, MNR, China","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003982996","display_name":"Yueting Chen","orcid":"https://orcid.org/0000-0002-2759-9784"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yueting Chen","raw_affiliation_strings":["York University, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"York University, Toronto, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030881704","display_name":"Dingyu Yang","orcid":"https://orcid.org/0000-0002-8156-3926"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingyu Yang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039555629"],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":null,"apc_paid":null,"fwci":2.80773788,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.91610186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"665","last_page":"679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9866999983787537,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.7688294649124146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7281404733657837},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6842782497406006},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5857475996017456},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4494313597679138},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3292847275733948},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3070771098136902}],"concepts":[{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.7688294649124146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7281404733657837},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6842782497406006},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5857475996017456},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4494313597679138},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3292847275733948},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3070771098136902},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3318464.3389735","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318464.3389735","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1531368347","https://openalex.org/W1970543907","https://openalex.org/W2005945380","https://openalex.org/W2011282943","https://openalex.org/W2048812944","https://openalex.org/W2051382614","https://openalex.org/W2078948975","https://openalex.org/W2097740541","https://openalex.org/W2108693756","https://openalex.org/W2116951794","https://openalex.org/W2132716097","https://openalex.org/W2134729426","https://openalex.org/W2143514830","https://openalex.org/W2150437713","https://openalex.org/W2175109984","https://openalex.org/W2269598166","https://openalex.org/W2277605219","https://openalex.org/W2592613193","https://openalex.org/W2767763836","https://openalex.org/W2770729327","https://openalex.org/W2803846618","https://openalex.org/W2887979757","https://openalex.org/W2963948050","https://openalex.org/W3101974321","https://openalex.org/W4210896998","https://openalex.org/W4231087669","https://openalex.org/W4252403066","https://openalex.org/W4372267129"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1824242903","https://openalex.org/W1493858311","https://openalex.org/W2155470929","https://openalex.org/W2394465510","https://openalex.org/W2111125783"],"abstract_inverted_index":{"The":[0],"problem":[1,146,223],"of":[2,32,147,153,167,182,188,196,221,224,242],"identifying":[3,125],"the":[4,27,30,33,36,62,96,104,137,145,151,179,218,222,240],"k":[5],"-shortest":[6],"paths":[7,127,198],"(KSPs":[8],"for":[9,75,124],"short)":[10],"in":[11,26,35,91,113,128,156,162,212],"a":[12,68,88,92,114,121,129,165,194],"dynamic":[13,25,130,213,229],"road":[14,59,214,230,237],"network":[15],"is":[16,67,100,133,175,190,217],"essential":[17],"to":[18,52,71,84,177,202,207],"many":[19],"location-based":[20],"services.":[21],"Road":[22],"networks":[23,60,238],"are":[24,82,200],"sense":[28],"that":[29,191,199],"weights":[31],"edges":[34],"corresponding":[37],"graph":[38,90,139],"constantly":[39],"change":[40],"over":[41,57,228,245],"time,":[42,64],"representing":[43],"evolving":[44],"traffic":[45,204],"conditions.":[46],"Very":[47],"often":[48],"such":[49],"services":[50],"have":[51],"process":[53],"numerous":[54],"KSP":[55,226],"queries":[56,227],"large":[58],"at":[61],"same":[63],"thus":[65],"there":[66],"pressing":[69],"need":[70],"identify":[72,85],"distributed":[73,115,122,170],"solutions":[74],"this":[76],"problem.":[77],"However,":[78],"most":[79],"existing":[80],"approaches":[81],"designed":[83],"KSPs":[86,149,155],"on":[87,103,135,164,235],"static":[89],"sequential":[93],"manner":[94],"(i.e.,":[95],"(i+1)-th":[97],"shortest":[98,106],"path":[99],"generated":[101],"based":[102,134],"i-th":[105],"path),":[107],"restricting":[108],"their":[109],"scalability":[110],"and":[111,143],"applicability":[112],"setting.":[116],"We":[117],"therefore":[118],"propose":[119],"KSP-DG,":[120],"algorithm":[123],"k-shortest":[126],"graph.":[131],"It":[132],"partitioning":[136],"entire":[138],"into":[140,150],"smaller":[141],"subgraphs,":[142,158],"reduces":[144],"determining":[148],"computation":[152],"partial":[154],"relevant":[157,183],"which":[159],"can":[160],"execute":[161],"parallel":[163],"cluster":[166],"servers.":[168],"A":[169,185],"two-level":[171],"index":[172],"called":[173],"DTLP":[174,189],"developed":[176],"facilitate":[178],"efficient":[180],"identification":[181],"subgraphs.":[184],"salient":[186],"feature":[187],"it":[192],"indexes":[193],"set":[195],"virtual":[197],"insensitive":[201],"varying":[203],"conditions,":[205],"leading":[206],"very":[208],"low":[209],"maintenance":[210],"cost":[211],"networks.":[215,231],"This":[216],"first":[219],"treatment":[220],"processing":[225],"Extensive":[232],"experiments":[233],"conducted":[234],"real":[236],"confirm":[239],"superiority":[241],"our":[243],"proposal":[244],"baseline":[246],"methods.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
