{"title":"面向大规模网络科学的并行图处理系统的概念","authors":"M. Chernoskutov","doi":"10.1109/SIBIRCON.2017.8109872","DOIUrl":null,"url":null,"abstract":"The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.","PeriodicalId":135870,"journal":{"name":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Concept of parallel graph processing system for large-scale network science\",\"authors\":\"M. Chernoskutov\",\"doi\":\"10.1109/SIBIRCON.2017.8109872\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.\",\"PeriodicalId\":135870,\"journal\":{\"name\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBIRCON.2017.8109872\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBIRCON.2017.8109872","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Concept of parallel graph processing system for large-scale network science
The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.