Daniel S. Myers Research Assistant

Research Interests:
I study analytic performance modeling with Mary Vernon.

Analytic performance models use mathematical techniques from queueing theory, statistics, and optimization to describe and predict the behavior of information systems. These models identify the key factors influencing system performance while eliminating unnecessary details. Analytic techniques can also provide a faster and lower-cost alternative to simulation for exploring new system architectures and design tradeoffs.

My current work focuses on the design of next-generation storage systems for cloud applcations and warehouse-scale computing. Visit my research page to learn more.

Education:
B.S. in Computer Engineering, University of Florida, May 2004.
M.S. in Computer Engineering, University of Florida, December 2005.

Educational Goal:
Ph.D. in Computer Science, University of Wisconsin, Madison.