ESE Seminar: “Management Strategies for Hyperscale Datacenters”
November 26 at 11:00 AM - 12:00 PM
Abstract: Hyperscale datacenters provide critical infrastructure for the information economy, refining data to extract value. Sharing datacenters improves energy efficiency but whether strategic users participate depends on management policies. I address these challenges by integrating practical insights from computer architecture with rigorous methods in algorithmic economics and machine learning. I illustrate this approach for power allocation and performance diagnosis. First, I allocate server power by anticipating strategic behavior and incentivizing participation. I design mechanisms in which users selfishly draw power to boost performance yet avoid oversubscribing the shared supply. Second, I diagnose performance anomalies by inferring interpretable causal relationships. I design statistical frameworks that learn performance models and extract recurring semantic structure from these models with natural language processing. Finally, I conclude by describing future directions for efficient and secure architectures in datacenters and beyond.
Associate Professor of Electrical and Computer Engineering, Duke University
Benjamin Lee is an Associate Professor of Electrical and Computer Engineering at Duke University. He earned his B.S. from the UC Berkeley, Ph.D. from Harvard, and post-doctorate from Stanford. Dr. Lee’s research focuses on computer architecture, pursuing efficiency and security with statistical inference and algorithmic economics. His research was recognized by IEEE Micro Top Picks (4x), CACM Research Highlights (3x), as well as paper honors from the ASPLOS, HPCA, MICRO, and SC conferences. His advising at Duke was recognized by the Celebrating Mentors Honor and nominated for the Dean’s Award for Excellence in Mentoring. Dr. Lee received the NSF Computing Innovation Fellowship, NSF CAREER Award, and Google Faculty Award. He is an ACM Distinguished Scientist and IEEE Senior Member.