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DCMS: A data analytics and management system for molecular simulation.

Anand Kumar1, Vladimir Grupcev1, Meryem Berrada1

  • 1Department of Computer Science and Engineering, University of South Florida, 4202 E. Fowler Ave., ENB118, Tampa, 33620 Florida USA.

Journal of Big Data
|June 13, 2015
PubMed
Summary
This summary is machine-generated.

Database-centric molecular simulation (DCMS) offers a new platform for managing and analyzing large molecular simulation data. This system leverages relational database management systems for efficient data handling and query processing, outperforming existing software.

Keywords:
Data compressionMolecular dynamicsMolecular simulationScientific databaseSpatiotemporal database

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Area of Science:

  • Computational Chemistry
  • Materials Science
  • Biophysics

Background:

  • Molecular simulation (MS) generates vast datasets, posing challenges for data access, management, and analysis.
  • Existing MS software lacks integrated platforms for intensive data access and analytical processes.

Purpose of the Study:

  • To present the database-centric molecular simulation (DCMS) system for efficient handling of MS data.
  • To leverage relational database management systems (DBMS) for MS data storage and analysis.

Main Methods:

  • Storing MS data in a relational DBMS to utilize SQL for data access and query optimization.
  • Developing novel indexing and query processing strategies, including co-processor algorithms, integrated within the DBMS.
  • Creating index structures for storing analysis results to enable reuse and avoid redundant computations.

Main Results:

  • The DCMS system, built on PostgreSQL, demonstrates significant performance improvements over existing MS software.
  • Experiments with real MS data confirm the efficiency of DCMS for data management and analysis.
  • The system served as a platform for testing security and compression strategies for MS data.

Conclusions:

  • DCMS provides an effective solution for managing and analyzing large-scale molecular simulation data.
  • Integrating MS data management within a DBMS offers substantial benefits in terms of performance and accessibility.
  • The developed system facilitates efficient data sharing and analysis for researchers.