一个G *图数据库系统的演示

Sean R. Spillane, Jeremy Birnbaum, Daniel Bokser, Daniel Kemp, Alan G. Labouseur, Paul W. Olsen, Jayadevan Vijayan, Jeong-Hyon Hwang, Jun-Weon Yoon
{"title":"一个G *图数据库系统的演示","authors":"Sean R. Spillane, Jeremy Birnbaum, Daniel Bokser, Daniel Kemp, Alan G. Labouseur, Paul W. Olsen, Jayadevan Vijayan, Jeong-Hyon Hwang, Jun-Weon Yoon","doi":"10.1109/ICDE.2013.6544943","DOIUrl":null,"url":null,"abstract":"The world is full of evolving networks, many of which can be represented by a series of large graphs. Neither the current graph processing systems nor database systems can efficiently store and query these graphs due to their lack of support for managing multiple graphs and lack of essential graph querying capabilities. We propose to demonstrate our system, G*, that meets the new challenges of managing multiple graphs and supporting fundamental graph querying capabilities. G* can store graphs on a large number of servers while compressing these graphs based on their commonalities. G* also allows users to easily express queries on graphs and efficiently executes these queries by sharing computations across graphs. During our demonstrations, conference attendees will run various analytic queries on large, practical data sets. These demonstrations will highlight the convenience and performance benefits of G* over existing database and graph processing systems, the effectiveness of sharing in graph data storage and processing, as well as G*'s scalability.","PeriodicalId":399979,"journal":{"name":"2013 IEEE 29th International Conference on Data Engineering (ICDE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A demonstration of the G∗ graph database system\",\"authors\":\"Sean R. Spillane, Jeremy Birnbaum, Daniel Bokser, Daniel Kemp, Alan G. Labouseur, Paul W. Olsen, Jayadevan Vijayan, Jeong-Hyon Hwang, Jun-Weon Yoon\",\"doi\":\"10.1109/ICDE.2013.6544943\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world is full of evolving networks, many of which can be represented by a series of large graphs. Neither the current graph processing systems nor database systems can efficiently store and query these graphs due to their lack of support for managing multiple graphs and lack of essential graph querying capabilities. We propose to demonstrate our system, G*, that meets the new challenges of managing multiple graphs and supporting fundamental graph querying capabilities. G* can store graphs on a large number of servers while compressing these graphs based on their commonalities. G* also allows users to easily express queries on graphs and efficiently executes these queries by sharing computations across graphs. During our demonstrations, conference attendees will run various analytic queries on large, practical data sets. These demonstrations will highlight the convenience and performance benefits of G* over existing database and graph processing systems, the effectiveness of sharing in graph data storage and processing, as well as G*'s scalability.\",\"PeriodicalId\":399979,\"journal\":{\"name\":\"2013 IEEE 29th International Conference on Data Engineering (ICDE)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 29th International Conference on Data Engineering (ICDE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2013.6544943\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 29th International Conference on Data Engineering (ICDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2013.6544943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14

摘要

世界上充满了不断发展的网络,其中许多可以用一系列大图来表示。当前的图处理系统和数据库系统都无法有效地存储和查询这些图,因为它们缺乏对管理多个图的支持和必要的图查询能力。我们打算展示我们的系统G*,它可以满足管理多个图和支持基本图查询功能的新挑战。G*可以在大量服务器上存储图形,同时根据共性对这些图形进行压缩。G*还允许用户轻松地表达对图形的查询,并通过跨图形共享计算有效地执行这些查询。在我们的演示中,与会者将在大型实际数据集上运行各种分析查询。这些演示将突出G*相对于现有数据库和图形处理系统的便利性和性能优势,共享图形数据存储和处理的有效性,以及G*的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A demonstration of the G∗ graph database system
The world is full of evolving networks, many of which can be represented by a series of large graphs. Neither the current graph processing systems nor database systems can efficiently store and query these graphs due to their lack of support for managing multiple graphs and lack of essential graph querying capabilities. We propose to demonstrate our system, G*, that meets the new challenges of managing multiple graphs and supporting fundamental graph querying capabilities. G* can store graphs on a large number of servers while compressing these graphs based on their commonalities. G* also allows users to easily express queries on graphs and efficiently executes these queries by sharing computations across graphs. During our demonstrations, conference attendees will run various analytic queries on large, practical data sets. These demonstrations will highlight the convenience and performance benefits of G* over existing database and graph processing systems, the effectiveness of sharing in graph data storage and processing, as well as G*'s scalability.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信