I argue that much of this disconnect arises from the narrow device-centric view of current solutions. Such piecemeal solutions are inefficient: network elements duplicate tasks and some locations become overloaded. Worse still, administrators struggle to retrofit their high-level goals within device-centric configurations. My dissertation argues for a clean-slate system-wide approach for resource management in large-scale networked systems based on three high-level principles: (1) systematic selection and placement of device-level primitives, (2) lightweight coordination mechanisms that enable different network elements to operate in synchrony, and (3) practical optimization models that capture operating constraints and policy objectives. In this talk, I will highlight the benefits of such a system-wide approach in the context of meeting fine-grained coverage and accuracy requirements in traffic monitoring and implementing a redundancy elimination service to improve network performance. Further, these architectural principles can be more broadly applied in other contexts such as intrusion detection and prevention, multi-hop wireless and sensor networks, managing cloud services, and performance troubleshooting in data centers.
Bio: Vyas Sekar is a final year PhD student in the Computer Science Department at Carnegie Mellon University, co-advised by Michael Reiter and Hui Zhang. His research interests are in systems, networking, and security. Before CMU, he earned his bachelor's degree from the Indian Institute of Technology Madras, where he was awarded the President of India Gold Medal.
Refreshments will be provided at 10:45AM