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Full-Text Articles in Computer Engineering

Detailed Low-Cost Energy And Power Monitoring Of Computing Systems, Chad M. Paradis Aug 2015

Detailed Low-Cost Energy And Power Monitoring Of Computing Systems, Chad M. Paradis

Electronic Theses and Dissertations

Power and energy are increasingly important metrics in modern computing systems. Large supercomputers utilize millions of cores and can consume as much power as a small town; monitoring and reducing power consumption is an important task. At the other extreme, power usage of embedded and mobile devices is also critically important. Battery life is a key concern in such devices; having detailed power measurement allows optimizing these devices for power as well. Current systems are not set up to allow easy power measurement. There has been much work in this area, but obtaining power readings is often expensive, intrusive, and …


Challenges Of Implementing Automatic Dependent Surveillance Broadcast In The Nextgen Air Traffic Management System, Carl J. Giannatto Jr. May 2015

Challenges Of Implementing Automatic Dependent Surveillance Broadcast In The Nextgen Air Traffic Management System, Carl J. Giannatto Jr.

Electronic Theses and Dissertations

The Federal Aviation Administration is in the process of replacing the current Air Traffic Management (ATM) system with a new system known as NextGen. Automatic Dependent Surveillance-Broadcast (ADS-B) is the aircraft surveillance protocol currently being introduced as a part of the NextGen system deployment. The evolution of ADS-B spans more than two decades, with development focused primarily on increasing the capacity of the Air Traffic Control (ATC) system and reducing operational costs. Security of the ADS-B communications network has not been a high priority, and the inherent lack of security measures in the ADS-B protocol has come under increasing scrutiny …


Testing Data Vault-Based Data Warehouse, Connard N. Williams Jan 2015

Testing Data Vault-Based Data Warehouse, Connard N. Williams

Electronic Theses and Dissertations

Data warehouse (DW) projects are undertakings that require integration of disparate sources of data, a well-defined mapping of the source data to the reconciled data, and effective Extract, Transform, and Load (ETL) processes. Owing to the complexity of data warehouse projects, great emphasis must be placed on an agile-based approach with properly developed and executed test plans throughout the various stages of designing, developing, and implementing the data warehouse to mitigate against budget overruns, missed deadlines, low customer satisfaction, and outright project failures. Yet, there are often attempts to test the data warehouse exactly like traditional back-end databases and legacy …


Agent-Based And System Dynamics Hybrid Modeling And Simulation Approach Using Systems Modeling Language, Asli Soyler Akbas Jan 2015

Agent-Based And System Dynamics Hybrid Modeling And Simulation Approach Using Systems Modeling Language, Asli Soyler Akbas

Electronic Theses and Dissertations

Agent-based (AB) and system dynamics (SD) modeling and simulation techniques have been studied and used by various research fields. After the new hybrid modeling field emerged, the combination of these techniques started getting attention in the late 1990's. Applications of using agent-based (AB) and system dynamics (SD) hybrid models for simulating systems have been demonstrated in the literature. However, majority of the work on the domain includes system specific approaches where the models from two techniques are integrated after being independently developed. Existing work on creating an implicit and universal approach is limited to conceptual modeling and structure design. This …


Comparing The Efficiency Of Heterogeneous And Homogeneous Data Center Workloads, Brandon Kimmons Jan 2015

Comparing The Efficiency Of Heterogeneous And Homogeneous Data Center Workloads, Brandon Kimmons

Electronic Theses and Dissertations

Abstract

Information Technology, as an industry, is growing very quickly to keep pace with increased data storage and computing needs. Data growth, if not planned or managed correctly, can have larger efficiency implications on your data center as a whole. The long term reduction in efficiency will increase costs over time and increase operational overhead. Similarly, increases in processor efficiency have led to increased system density in data centers. This can increase cost and operational overhead in your data center infrastructure.

This paper proposes the idea that balanced data center workloads are more efficient in comparison to similar levels of …