In many areas of systems design, provisioning for worst-case behavior (e.g., load spikes and anomalous user activity) incurs sizable penalties (e.g., performance and operational overheads) in the typical and best cases. However, in distributed sys... Read more
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Peter Bailis is a final-year Ph.D. candidate at UC Berkeley working in databases and distributed systems. As part of his dissertation work, he has studied and built high performance distributed data management systems for large scale transaction processing, data serving, and statistical analytics in the AMPLab and BOOM projects under the advisement of Joseph M. Hellerstein, Ali Ghodsi, and Ion Stoica. He is the recipient of the NSF Graduate Research Fellowship, the Berkeley Fellowship for Graduate Study, an