AI for Efficient and Resilient Computing

Ayse Coskun

Boston University

 https://utsa.zoom.us/j/92387759081

Friday, February 4, 2022

11 AM – 12 PM CST

Today’s computers, ranging from small-scale embedded to large-scale systems, face challenges in delivering predictable performance, while maintaining efficiency, resilience, and security. Much of computer system management has traditionally relied on (manual) expert analysis and policies that rely on heuristics derived based on such analysis. This talk will demonstrate a new approach on designing “automated analytics” methods for computing systems, leading the path towards a longer-term vision where computing systems are able to self-manage and improve. Specifically, the talk will first cover how to systematically diagnose root causes of performance variations (or performance “anomalies”), which cause substantial efficiency losses and higher cost. Second, it will discuss how to identify applications running on computing systems and discuss how such discoveries can help reduce vulnerabilities and avoid unwanted applications. The talk will highlight how to apply machine learning to help understand and improve complex systems and show several pathways and challenges in real-world deployment of AI-based methods.