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Computer Engineering Commons

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Computer Sciences

University of South Florida

Big Data

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Full-Text Articles in Computer Engineering

Data To Decisions For Cyberspace Operations, Steve Stone Dec 2015

Data To Decisions For Cyberspace Operations, Steve Stone

Military Cyber Affairs

In 2011, the United States (U.S.) Department of Defense (DOD) named cyberspace a new operational domain. The U.S. Cyber Command and the Military Services are working to make the cyberspace environment a suitable place for achieving national objectives and enabling military command and control (C2). To effectively conduct cyberspace operations, DOD requires data and analysis of the Mission, Network, and Adversary. However, the DOD’s current data processing and analysis capabilities do not meet mission needs within critical operational timelines. This paper presents a summary of the data processing and analytics necessary to effectively conduct cyberspace operations.


Dcms: A Data Analytics And Management System For Molecular Simulation, Meryem Berrada Mar 2015

Dcms: A Data Analytics And Management System For Molecular Simulation, Meryem Berrada

Graduate Theses and Dissertations

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 ...


Efficient And Private Processing Of Analytical Queries In Scientific Datasets, Anand Kumar Jan 2013

Efficient And Private Processing Of Analytical Queries In Scientific Datasets, Anand Kumar

Graduate Theses and Dissertations

Large amount of data is generated by applications used in basic-science research and development applications. The size of data introduces great challenges in storage, analysis and preserving privacy. This dissertation proposes novel techniques to efficiently analyze the data and reduce storage space requirements through a data compression technique while preserving privacy and providing data security.

We present an efficient technique to compute an analytical query called spatial distance histogram (SDH) using spatiotemporal properties of the data. Special spatiotemporal properties present in the data are exploited to process SDH efficiently on the fly. General purpose graphics processing units (GPGPU or just ...