{"id":"https://openalex.org/W2218076943","doi":"https://doi.org/10.1109/bigdata.2015.7363954","title":"DISTINGER: A distributed graph data structure for massive dynamic graph processing","display_name":"DISTINGER: A distributed graph data structure for massive dynamic graph processing","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2218076943","doi":"https://doi.org/10.1109/bigdata.2015.7363954","mag":"2218076943"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","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/A5068826580","display_name":"Guoyao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Guoyao Feng","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113361067","display_name":"Meng Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiao Meng","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043474306","display_name":"Khaled Ammar","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Khaled Ammar","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068826580"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.7364,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.79638873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1814","last_page":"1822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9966999888420105,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8343744277954102},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6260998249053955},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5565709471702576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.544968843460083},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5053122639656067},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.44142162799835205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.20738571882247925},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1529671549797058}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8343744277954102},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6260998249053955},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5565709471702576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.544968843460083},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5053122639656067},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.44142162799835205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.20738571882247925},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1529671549797058}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.47999998927116394,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W217817341","https://openalex.org/W1482680420","https://openalex.org/W1522512418","https://openalex.org/W1893414835","https://openalex.org/W1911889574","https://openalex.org/W1916385248","https://openalex.org/W1969970763","https://openalex.org/W1970275213","https://openalex.org/W2024042592","https://openalex.org/W2030559659","https://openalex.org/W2064635301","https://openalex.org/W2084715564","https://openalex.org/W2096544401","https://openalex.org/W2160276892","https://openalex.org/W2170616854","https://openalex.org/W2281494333","https://openalex.org/W2432978112","https://openalex.org/W2535471595","https://openalex.org/W2539828367","https://openalex.org/W3105138464","https://openalex.org/W4230094279","https://openalex.org/W6603201521","https://openalex.org/W6640127313"],"related_works":["https://openalex.org/W2950176494","https://openalex.org/W67692804","https://openalex.org/W1971922661","https://openalex.org/W4386128172","https://openalex.org/W1984775058","https://openalex.org/W3189717235","https://openalex.org/W1817956424","https://openalex.org/W4297002069","https://openalex.org/W2060064441","https://openalex.org/W3029064949"],"abstract_inverted_index":{"Large":[0],"and":[1,52,106,112,117,123,143,148,155],"dynamic":[2,46],"graphs":[3,47,140],"with":[4,13,87],"streaming":[5,88],"updates":[6],"have":[7],"been":[8],"gaining":[9],"traction":[10],"recently,":[11],"along":[12],"the":[14,54,60],"need":[15],"for":[16],"enabling":[17],"graph":[18,40,64,80,85,99,125,145],"analytics":[19,86],"in":[20,48,130],"a":[21,26,33,49,69,78,93,97,115,131],"commodity":[22,50],"cluster":[23,133],"instead":[24],"of":[25,35],"high-performance":[27],"computing":[28],"facility.":[29],"Surprisingly,":[30],"there":[31],"is":[32,68],"lack":[34],"study":[36],"on":[37],"scaling":[38],"out":[39],"data":[41,100],"structures":[42],"to":[43,96,120],"represent":[44],"sparse":[45],"cluster,":[51],"even":[53],"latest":[55],"work":[56],"[1]":[57],"based":[58],"upon":[59],"most":[61],"common":[62],"in-memory":[63],"representation":[65,81],"CSR":[66],"[2]":[67],"single-machine":[70],"case.":[71],"In":[72],"this":[73],"paper":[74],"we":[75],"present":[76],"DISTINGER,":[77],"distributed":[79],"that":[82,135],"handles":[83],"massive":[84],"updates.":[89],"DISTINGER":[90,136],"successfully":[91],"extends":[92],"scale-up":[94],"design":[95,111],"scale-out":[98],"structure":[101],"while":[102],"maintains":[103],"its":[104],"efficiency":[105],"scalability.":[107],"We":[108],"implement":[109],"our":[110],"algorithms":[113],"as":[114],"prototype,":[116],"compare":[118],"it":[119],"single-site":[121],"STINGER":[122],"state-of-art":[124],"systems.":[126],"Our":[127],"experimental":[128],"evaluation":[129],"real":[132],"shows":[134],"can":[137],"handle":[138],"larger":[139],"than":[141,153],"STINGER,":[142],"perform":[144],"tasks":[146],"(PageRank":[147],"edge":[149],"updates)":[150],"more":[151],"efficiently":[152],"GraphLab":[154],"Giraph.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
