skip to main content
10.1145/2983323.2983335acmconferencesArticle/Chapter ViewAbstractPublication PagescikmConference Proceedingsconference-collections
demonstration

TGraph: A Temporal Graph Data Management System

Authors Info & Claims
Published:24 October 2016Publication History

ABSTRACT

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.

References

  1. S. E. Dreyfus. An appraisal of some shortest-path algorithms. Operations Research, 17(3):395--412, 1969. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. P. Holme and J. Saramaki. Temporal networks. Physics reports, 519(3):97--125, 2012.Google ScholarGoogle ScholarCross RefCross Ref
  3. U. Khurana and A. Deshpande. Efficient snapshot retrieval over historical graph data. In ICDE, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. G. Labouseur, P. W. Olsen, and J.-H. Hwang. Scalable and robust management of dynamic graph data. In BD3@VLDB, 2013.Google ScholarGoogle Scholar
  5. S. Ma, J. Li, C. Hu, X. Lin, and J. Huai. Big graph search: challenges and techniques. FCS, 10(3):387--397, 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Neo4j. http://neo4j.com/.Google ScholarGoogle Scholar
  7. G. Özsoyoglu and R. T. Snodgrass. Temporal and real-time databases: A survey. TKDE, 7(4):513--532, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. R. Ramakrishnan and J. Gehrke. Database management systems. Osborne/McGraw-Hill, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Titan. http://thinkaurelius.github.io/titan/.Google ScholarGoogle Scholar
  10. H. Wu, J. Cheng, S. Huang, Y. Ke, Y. Lu, and Y. Xu. Path problems in temporal graphs. PVLDB, 7(9):721--732, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. TGraph: A Temporal Graph Data Management System

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in
          • Published in

            cover image ACM Conferences
            CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge Management
            October 2016
            2566 pages
            ISBN:9781450340731
            DOI:10.1145/2983323

            Copyright © 2016 Owner/Author

            Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 24 October 2016

            Check for updates

            Qualifiers

            • demonstration

            Acceptance Rates

            CIKM '16 Paper Acceptance Rate160of701submissions,23%Overall Acceptance Rate1,861of8,427submissions,22%

            Upcoming Conference

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader