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Full-Text Articles in Computer Engineering
Chronic Risk And Disease Management Model Using Structured Query Language And Predictive Analysis, Mamata Ojha
Chronic Risk And Disease Management Model Using Structured Query Language And Predictive Analysis, Mamata Ojha
Electronic Theses and Dissertations
Individuals with chronic conditions are the ones who use health care most frequently and more than 50% of top ten causes of death are chronic diseases in United States and these members always have health high risk scores. In the field of population health management, identifying high risk members is very important in terms of patient health care, disease management and cost management. Disease management program is very effective way of monitoring and preventing chronic disease and health related complications and risk management allows physicians and healthcare companies to reduce patient’s health risk, help identifying members for care/disease management along …
A Dynamic Scaling Methodology For Improving Performance Of Big Data Systems, Nashmiah Alhamdawi
A Dynamic Scaling Methodology For Improving Performance Of Big Data Systems, Nashmiah Alhamdawi
Electronic Theses and Dissertations
The continuous growth of data volume in various fields such as, healthcare, sciences, economics, and business has caused an overwhelming flow of data in the last decade. The overwhelming flow of data has raised challenges in processing, analyzing, and storing data, which lead many systems to face an issue in performance. Poor performance of systems creates negative impact such as delays, unprocessed data, and increasing response time. Processing huge amounts of data demands a powerful computational infrastructure to ensure that data processing and analysis success [7]. However, the architectures of these systems are not suitable to process that quantity of …
Data Center Load Forecast Using Dependent Mixture Model, Md Riaz Ahmed Khan
Data Center Load Forecast Using Dependent Mixture Model, Md Riaz Ahmed Khan
Electronic Theses and Dissertations
The dependency on cloud computing is increasing day by day. With the boom of data centers, the cost is also increasing, which forces industries to come up with techniques and methodologies to reduce the data center energy use. Load forecasting plays a vital role in both efficient scheduling and operating a data center as a virtual power plant. In this thesis work a stochastic method, based on dependent mixtures is developed to model the data center load and is used for day-ahead forecast. The method is validated using three data sets from National Renewable Energy Laboratory (NREL) and one other …