Speaker: Peter Bailis
6:30 Food & Networking
In this talk, I'll discuss recent advances in scalable data stores, focusing on the fundamental trade-offs between availability, consistency, and latency required by replication. As services are increasingly distributed, both developers and systems designers will be required to face these trade-offs head-on: what is the appropriate choice for a given application, and how do we reason about the costs of a given solution?
Peter Bailis is a graduate student of Computer Science in the AMPLab and BOOM projects at UC Berkeley, where he works closely with Ali Ghodsi, Joe Hellerstein, and Ion Stoica. He currently studies distributed systems and databases, with a particular focus on distributed consistency models. Peter received his A.B. from Harvard College and is the recipient of the NSF Graduate Research Fellowship and the Berkeley Fellowship for Graduate Study.
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