TY - GEN
T1 - TGraph
T2 - 25th ACM International Conference on Information and Knowledge Management, CIKM 2016
AU - Huang, Haixing
AU - Song, Jinghe
AU - Lin, Xuelian
AU - Ma, Shuai
AU - Huai, Jinpeng
N1 - Publisher Copyright:
© 2016 Copyright held by the owner/author(s).
PY - 2016/10/24
Y1 - 2016/10/24
N2 - Temporal graphs are a class of graphs whose nodes and edges, together with the associated properties, continuously change over time. Recently, systems have been developed to support snapshot queries over temporal graphs. However, these systems barely support aggregate time range queries. Moreover, these systems cannot guarantee ACID transactions, an important feature for data management systems as long as concurrent processing is involved. To solve these issues, we design and develop TGraph, a temporal graph data management system, that assures the ACID transaction feature, and supports fast temporal graph queries.
AB - Temporal graphs are a class of graphs whose nodes and edges, together with the associated properties, continuously change over time. Recently, systems have been developed to support snapshot queries over temporal graphs. However, these systems barely support aggregate time range queries. Moreover, these systems cannot guarantee ACID transactions, an important feature for data management systems as long as concurrent processing is involved. To solve these issues, we design and develop TGraph, a temporal graph data management system, that assures the ACID transaction feature, and supports fast temporal graph queries.
UR - https://www.scopus.com/pages/publications/84996598462
U2 - 10.1145/2983323.2983335
DO - 10.1145/2983323.2983335
M3 - 会议稿件
AN - SCOPUS:84996598462
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 2469
EP - 2472
BT - CIKM 2016 - Proceedings of the 2016 ACM Conference on Information and Knowledge Management
PB - Association for Computing Machinery
Y2 - 24 October 2016 through 28 October 2016
ER -