We propose a new database approach that aims to achieve convenient and highly efficient storage and querying of simulation data by adopting a graph data model.
These simulations include disease prop- agation [1], molecular dynamics [2], weather prediction [3], opinion formation on social networks [4], immune system.
We also discuss new challenges that arise in this research, with a focus on language design, coordination of simulations, data storage, and query processing. A ...
Bibliographic details on A Graph Database Approach for Efficient and Scalable Management of Simulations.
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Mar 25, 2023 · Graph databases offer a powerful way to manage connected data that can help you unlock valuable insights and improve data efficiency.
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A Graph Database Approach for Efficient and Scalable Management of Simulations. Hwang J; Birnbaum J; Vabbalareddy R; Ravi S; Park C . 2012 SC Companion: High ...
This paper presents a data management system that uses a graph-based data representation scheme to achieve an efficient data retrieval when using graph-based ...
Missing: Simulations. | Show results with:Simulations.
Jun 17, 2024 · A graph database is a type of NoSQL database designed to store and query data by emphasizing relationships.
Missing: Simulations. | Show results with:Simulations.
Nov 21, 2024 · An increasing number of applications are modeling data as property graphs. In various scenarios, the scale of data can differ significantly, ...
A graph database is a systematic collection of data that emphasizes the relationships between the different data entities.