{"id":"https://openalex.org/W2207967621","doi":"https://doi.org/10.1109/bigdata.2015.7363959","title":"Employing in-memory data grids for distributed graph processing","display_name":"Employing in-memory data grids for distributed graph processing","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2207967621","doi":"https://doi.org/10.1109/bigdata.2015.7363959","mag":"2207967621"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363959","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/A5020033504","display_name":"Serafettin Tasci","orcid":null},"institutions":[{"id":"https://openalex.org/I103497121","display_name":"Purchase College","ror":"https://ror.org/057trrr89","country_code":"US","type":"education","lineage":["https://openalex.org/I103497121"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Serafettin Tasci","raw_affiliation_strings":["Computer Science & Engineering Department, SUNY"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering Department, SUNY","institution_ids":["https://openalex.org/I103497121"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101800282","display_name":"Murat Demirba\u015f","orcid":"https://orcid.org/0000-0001-7952-9035"},"institutions":[{"id":"https://openalex.org/I103497121","display_name":"Purchase College","ror":"https://ror.org/057trrr89","country_code":"US","type":"education","lineage":["https://openalex.org/I103497121"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murat Demirbas","raw_affiliation_strings":["Computer Science & Engineering Department, SUNY"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering Department, SUNY","institution_ids":["https://openalex.org/I103497121"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020033504"],"corresponding_institution_ids":["https://openalex.org/I103497121"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.10909182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"124","issue":null,"first_page":"1856","last_page":"1864"},"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":0.9988999962806702,"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":0.9948999881744385,"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":0.8605104684829712},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6697851419448853},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6052659749984741},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.5489750504493713},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.509210467338562},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5069053769111633},{"id":"https://openalex.org/keywords/distributed-memory","display_name":"Distributed memory","score":0.4428028464317322},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.42265379428863525},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3202756643295288},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3048318922519684},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2876102924346924},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18760007619857788},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.17036506533622742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8605104684829712},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6697851419448853},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6052659749984741},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.5489750504493713},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.509210467338562},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5069053769111633},{"id":"https://openalex.org/C91481028","wikidata":"https://www.wikidata.org/wiki/Q1054686","display_name":"Distributed memory","level":3,"score":0.4428028464317322},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.42265379428863525},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3202756643295288},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3048318922519684},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2876102924346924},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18760007619857788},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.17036506533622742},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363959","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W78077100","https://openalex.org/W641258496","https://openalex.org/W1432467619","https://openalex.org/W1734799737","https://openalex.org/W1854079585","https://openalex.org/W2084568010","https://openalex.org/W2096544401","https://openalex.org/W2129412326","https://openalex.org/W2130747448","https://openalex.org/W2158770323","https://openalex.org/W2170616854","https://openalex.org/W2173213060","https://openalex.org/W2179081862","https://openalex.org/W2999097477","https://openalex.org/W4206752758","https://openalex.org/W6603201521","https://openalex.org/W6628599807","https://openalex.org/W6637631891"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2092530219","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"In-memory":[0],"data":[1,16,59],"grid":[2],"(IMDG)":[3],"is":[4],"a":[5,68,73],"new":[6],"technology":[7],"that":[8,71,84],"enables":[9],"scalable":[10],"and":[11,40,58,78,96,108,115],"low-latency":[12],"processing":[13,107],"of":[14,23,34,49,76],"big":[15],"by":[17],"sharding":[18],"it":[19],"over":[20],"the":[21,31,46],"RAMs":[22],"multiple":[24],"servers.":[25],"In":[26],"this":[27],"paper,":[28],"we":[29,63],"explore":[30],"design":[32],"space":[33],"IMDGs":[35,50,86],"to":[36],"identify":[37],"their":[38,42],"advantages":[39],"avoid":[41],"drawbacks.":[43],"We":[44,82],"present":[45],"performance":[47],"tradeoffs":[48],"using":[51],"unit":[52],"tests":[53],"on":[54],"core":[55],"distributed":[56,91],"operations":[57],"structures.":[60],"For":[61],"evaluation,":[62],"use":[64],"large-scale":[65],"graph":[66,100,106],"processing,":[67,101],"challenging":[69],"task":[70],"requires":[72],"high":[74],"degree":[75],"communication":[77],"coordination":[79],"between":[80],"vertices.":[81],"find":[83],"while":[85],"cannot":[87],"compete":[88],"with":[89],"specialized":[90],"frameworks":[92],"(such":[93],"as":[94],"Giraph":[95],"GraphLab)":[97],"for":[98,104,112],"batch-mode":[99],"they":[102],"excel":[103],"online":[105],"offer":[109],"exciting":[110],"opportunities":[111],"social":[113],"networks":[114],"web":[116],"services":[117],"applications.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}