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SEMINAR:AI for Computer System Analytics

Speaker:Prof. Ayşe Kıvılcım Coşkun 

Title: AI for Computer System Analytics

Date/Time:19 December 2022 / 14:40-15:30

Location: FENS G035 (Physical only)

Abstract:Today’s large-scale computer systems that serve high performance computing and cloud 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 discuss a new path on designing “automated analytics” methods for large-scale computer systems and how to make strides 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 “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 also highlight how to apply machine learning in a practical and scalable way to help understand complex systems, demonstrate methods to help standardize study of performance anomalies, discuss explainability of applied ML methods in the context of computer system analytics, and point out future directions in automating computer system management.

Bio:Ayse Kivilcim Coskun is a full professor in the Electrical and Computer Engineering Department at Boston University and also serves as the Director of the Center for Information and Systems Engineering. Coskun received her Ph.D. degree from the Computer Science and Engineering Department at UC San Diego and her B.S degree in Microelectronics Engineering from Sabanci University. Coskun’s research interests are broadly in design automation, computer architecture, and embedded systems, particularly focusing on energy efficiency, thermal challenges, and using analytics for intelligent system management. Coskun received the IEEE CEDA Ernest Kuh Early Career Award in 2017 for contributions to energy-efficient system-level design and an IBM Faculty Award in 2020 for her work on applying AI-based methods to cloud software management. Coskun currently serves as the Deputy Editor-in-Chief of the IEEE Transactions on CAD and an Associate Editor for the ACM Transactions on Architecture and Code Optimization.


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