Building Storage Systems for New Applications and New Hardware

The modern storage landscape is changing at an exciting rate. New technologies, such as Intel DC Persistent Memory, are being introduced. At the same time, new applications such as blockchain are emerging with new requirements from the storage subsystem. New regulations, such as the General Data Protection Regulation (GDPR), place new constraints on how data may be read and written. As a result, designing storage systems that satisfy these constraints is interesting and challenging. In this talk, I will describe the lessons we learnt from tackling this challenge in various forms: my group has built file systems and concurrent data structures for persistent memory, storage solutions for blockchains and machine learning, and analyzed how the GDPR regulation affects storage systems.

Bio: Vijay Chidambaram is an Assistant Professor in the Computer Science department at the University of Texas at Austin. He did his post-doc at the VMware Research Group, and got his PhD with Prof. Remzi and Andrea Arpaci-Dusseau at the University of Wisconsin-Madison. His papers have won Best Paper Awards in ATC 2018, FAST 2018, and FAST 2017. He was awarded the NSF CAREER Award in 2018, SIGOPS Dennis M. Ritchie Dissertation Award in 2016, and the Microsoft Research Fellowship in 2014. Techniques from his work have been incorporated into commercial products, and his work has helped make the Linux kernel more reliable.