A faculty member in Pennsylvania College of Technology’s School of Business and Computer Technologies recently received a doctoral degree from Nova Southeastern University.
Daniel W. Yoas, an associate professor of information technology, earned a Ph.D. in computer information systems with a concentration in information security from the university’s School of Computer and Information Sciences.
The title of his dissertation is “Using Forecasting to Predict Long-term Resource Utilization for Web Services.”
Using Penn College’s Web resources, Yoas collected data over seven months about the central processing unit, free memory, disk use and network traffic.
“Previous work had used similar information to help determine how the machine should behave in the next few seconds or minutes,” he explained. “I proposed that the patterns of use were much broader than previous research had concluded, and that the data would show recognizable patterns at the hour, day and weekly levels.”
His findings were that long-term patterns do exist, and that the use of time-series analysis and confidence intervals can provide useful data for network administrators and e-commerce businesses, among others.
A Penn College faculty member since the Fall 2002 semester, Yoas holds a master’s degree in information technology from Rochester Institute of Technology and a bachelor’s degree in computer information science/computer science from Clarion University.
For more information about “degrees that work” offered within the School of Business and Computer Technologies, call 570-327-4517.
For more about Penn College, email the Admissions Office or call toll-free 800-367-9222.
Daniel W. Yoas, an associate professor of information technology, earned a Ph.D. in computer information systems with a concentration in information security from the university’s School of Computer and Information Sciences.
The title of his dissertation is “Using Forecasting to Predict Long-term Resource Utilization for Web Services.”
Using Penn College’s Web resources, Yoas collected data over seven months about the central processing unit, free memory, disk use and network traffic.“Previous work had used similar information to help determine how the machine should behave in the next few seconds or minutes,” he explained. “I proposed that the patterns of use were much broader than previous research had concluded, and that the data would show recognizable patterns at the hour, day and weekly levels.”
His findings were that long-term patterns do exist, and that the use of time-series analysis and confidence intervals can provide useful data for network administrators and e-commerce businesses, among others.
A Penn College faculty member since the Fall 2002 semester, Yoas holds a master’s degree in information technology from Rochester Institute of Technology and a bachelor’s degree in computer information science/computer science from Clarion University.
For more information about “degrees that work” offered within the School of Business and Computer Technologies, call 570-327-4517.
For more about Penn College, email the Admissions Office or call toll-free 800-367-9222.