The Quantitative Evaluation & Design (QED) research group works on computer systems modeling and performance evaluation, with a number of applications in distributed systems design. Such distributed systems and applications include:
- Quality-of-service-based design of large-scale multimedia storage systems (where efficient storage system designs are fundamental to the viability of a broad range of systems and applications),
- Design and evaluation of large-scale peer-to-peer and overlay systems (as the demand on content delivery systems grows peer-to-peer-based architectures emerge as viable and cost-effective approaches to satisfying such systems' requirements),
- Reliability evaluation of software systems (where early prediction of reliability is important in building dependable software systems, as problems discovered in later stages can be quite costly to address),
- Wireless sensor systems (which have significant potential for aiding scientific studies by instrumenting the real world and collecting measurements, with the aim of observing, detecting, and tracking scientific phenomena that were previous only partially (or not at all) observable or understood).
Our current directions are also largely focused on design and evaluation of large-scale data centers. Over the last few years, the demand for computing has grown significantly. This demand is being satisfied by very large scale, geographically distributed data centers, each containing a huge number of servers. While the benefits of having such infrastructure are significant, so are the corresponding energy costs. Our focus is on understanding appropriate trade-offs between the more traditional metrics (such as response time) and metrics that are becoming of greater interest, such as energy costs, profit, etc.