{"id":"https://openalex.org/W2647140945","doi":"https://doi.org/10.1145/3078597.3078606","title":"IOGP","display_name":"IOGP","publication_year":2017,"publication_date":"2017-06-23","ids":{"openalex":"https://openalex.org/W2647140945","doi":"https://doi.org/10.1145/3078597.3078606","mag":"2647140945"},"language":"en","primary_location":{"id":"doi:10.1145/3078597.3078606","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3078597.3078606","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3078597.3078606","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3078597.3078606","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012002926","display_name":"Dong Dai","orcid":"https://orcid.org/0000-0003-4078-8149"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dong Dai","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014921180","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-6921-4926"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077521546","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-9961-9051"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Texas Tech University, Lubbock, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas Tech University, Lubbock, TX, USA","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5012002926"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":null,"apc_paid":null,"fwci":1.0167,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.8520256,"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":"219","last_page":"230"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9983000159263611,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8265464305877686},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.56109219789505},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5133361220359802},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.500673770904541},{"id":"https://openalex.org/keywords/online-transaction-processing","display_name":"Online transaction processing","score":0.430038183927536},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.42973971366882324},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.42127326130867004},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.39720407128334045},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.2967376708984375},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.25543665885925293}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8265464305877686},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.56109219789505},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5133361220359802},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.500673770904541},{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.430038183927536},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.42973971366882324},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.42127326130867004},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.39720407128334045},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.2967376708984375},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.25543665885925293},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3078597.3078606","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3078597.3078606","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3078597.3078606","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3078597.3078606","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3078597.3078606","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3078597.3078606","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1161593311","display_name":null,"funder_award_id":"11624","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2691230549","display_name":"MRI Collaborative: Development of a Data-Intensive Scalable Computing Instrument for High Performance Computing","funder_award_id":"1338078","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G32322143","display_name":null,"funder_award_id":"1362134","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3808468022","display_name":null,"funder_award_id":"CNS-1162488","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4940025964","display_name":null,"funder_award_id":"CNS-1162488, CNS-1338078, IIP-1362134, CCF-1409946","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G550232207","display_name":null,"funder_award_id":"CCF-1409946","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7086244147","display_name":"SHF: Medium: Compute on Data Path: Combating Data Movement in High Performance Computing","funder_award_id":"1409946","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7370941556","display_name":null,"funder_award_id":"CNS-1338078","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2647140945.pdf","grobid_xml":"https://content.openalex.org/works/W2647140945.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W196083541","https://openalex.org/W217817341","https://openalex.org/W1482680420","https://openalex.org/W1538076361","https://openalex.org/W1554338108","https://openalex.org/W1557692423","https://openalex.org/W1854214752","https://openalex.org/W1901747001","https://openalex.org/W1971630691","https://openalex.org/W1975464357","https://openalex.org/W1982003698","https://openalex.org/W1998658698","https://openalex.org/W2006023152","https://openalex.org/W2032950184","https://openalex.org/W2050629260","https://openalex.org/W2052569240","https://openalex.org/W2053076698","https://openalex.org/W2070232376","https://openalex.org/W2082817855","https://openalex.org/W2107721006","https://openalex.org/W2108419198","https://openalex.org/W2111925081","https://openalex.org/W2143131337","https://openalex.org/W2145124007","https://openalex.org/W2153704625","https://openalex.org/W2170616854","https://openalex.org/W2293836743","https://openalex.org/W2301743601","https://openalex.org/W2560134660","https://openalex.org/W2564843855","https://openalex.org/W2755088640","https://openalex.org/W2914097545","https://openalex.org/W2963528863","https://openalex.org/W3009233884","https://openalex.org/W3098342588","https://openalex.org/W3215028506","https://openalex.org/W6639055396"],"related_works":["https://openalex.org/W2372897440","https://openalex.org/W2349862564","https://openalex.org/W2143226912","https://openalex.org/W116816731","https://openalex.org/W2158759608","https://openalex.org/W2053104377","https://openalex.org/W2155541789","https://openalex.org/W4386570469","https://openalex.org/W1644029924","https://openalex.org/W2125608776"],"abstract_inverted_index":{"Graphs":[0],"have":[1,67],"become":[2],"increasingly":[3],"important":[4],"in":[5,14,22,55],"many":[6],"applications":[7],"and":[8,70,89,128,142],"domains":[9],"such":[10],"as":[11,61,147,149],"querying":[12],"relationships":[13],"social":[15],"networks":[16],"or":[17],"managing":[18],"rich":[19],"metadata":[20],"generated":[21],"scientific":[23],"computing.":[24],"Many":[25],"of":[26,117,136],"these":[27],"use":[28],"cases":[29],"require":[30],"high-performance":[31],"distributed":[32],"graph":[33,56,74,95,164],"databases":[34],"for":[35,73,132],"serving":[36],"continuous":[37],"updates":[38],"from":[39],"clients":[40],"and,":[41],"at":[42],"the":[43,50,87,90,114,130,137],"same":[44],"time,":[45],"answering":[46],"complex":[47],"queries":[48],"regarding":[49],"current":[51],"graph.":[52,138],"These":[53],"operations":[54],"databases,":[57],"also":[58],"referred":[59],"to":[60,85,113],"online":[62],"transaction":[63],"processing":[64],"(OLTP)":[65],"operations,":[66],"specific":[68],"design":[69],"implementation":[71],"requirements":[72],"partitioning":[75,165],"algorithms.":[76,166],"In":[77],"this":[78,99],"research,":[79],"we":[80,101],"argue":[81],"it":[82],"is":[83],"necessary":[84],"consider":[86],"connectivity":[88],"vertex":[91,118],"degree":[92],"changes":[93,116],"during":[94],"partitioning.":[96],"Based":[97],"on":[98],"idea,":[100],"designed":[102],"an":[103],"Incremental":[104],"Online":[105],"Graph":[106],"Partitioning":[107],"(IOGP)":[108],"algorithm":[109],"that":[110],"responds":[111],"accordingly":[112],"incremental":[115],"degree.":[119],"IOGP":[120,145],"helps":[121],"achieve":[122],"better":[123,151],"locality,":[124],"generate":[125],"balanced":[126],"partitions,":[127],"increase":[129],"parallelism":[131],"accessing":[133],"high-degree":[134],"vertices":[135],"Over":[139],"both":[140],"real-world":[141],"synthetic":[143],"graphs,":[144],"demonstrates":[146],"much":[148],"2x":[150],"query":[152],"performance":[153],"with":[154],"a":[155],"less":[156],"than":[157],"10%":[158],"overhead":[159],"when":[160],"compared":[161],"against":[162],"state-of-the-art":[163]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2017-06-30T00:00:00"}