Graduation Year

2015

Document Type

Thesis

Degree

M.S.C.S

Degree Name

MS in Computer Science (M.S.C.S.)

Department

Computer Science

Degree Granting Department

Computer Science and Engineering

Major Professor

Yicheng Tu, Ph.D.

Committee Member

Sagar Pandit, Ph.D.

Committee Member

Feng Cheng, Ph.D.

Keywords

Scientific database, Molecular Dynamics, Big Data, Quadtree, SP-GIST

Abstract

Despite the fact that Molecular Simulation systems represent a major research tool in multiple scientific and engineering fields, there is still a lack of systems for effective data management and fast data retrieval and processing. This is mainly due to the nature of MS which generate a very large amount of data - a system usually encompass millions of data information, and one query usually runs for tens of thousands of time frames. For this purpose, we designed and developed a new application, DCMS (A data Analytics and Management System for molecular Simulation), that intends to speed up the process of new discovery in the medical/physics fields.

DCMS stores simulation data in a database; and provides users with a user-friendly interface to upload, retrieve, query, and analyze MS data without having to deal with any raw data. In addition, we also created a new indexing scheme, the Time-Parameterized Spatial (TPS) tree, to accelerate query processing through indexes that take advantage of the locality relationships between atoms. The tree was implemented directly inside the PostgreSQL kernel, on top of the SP-GiST platform. Along with this new tree, two new data types were also defined, as well as new algorithms for five data points' retrieval queries.

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