Rashmi Korlakai Vinayak
Office 9011 Gates and Hillman Centers
Email rvinayak@andrew.cmu.edu
Department
Computer Science Department
Administrative Support Person
Matt McMonagle
Research Interests
Data-Intensive and Cloud Computing
Distributed Systems
Networking
Systems
Theory
Advisees
Sanjith Athlur
Saransh Chopra
Matan Shtepel
Biography
Rashmi received her Ph.D. from UC Berkeley in 2016 where she worked on resource-efficient fault tolerance for big-data systems, and was a postdoctoral scholar at UC Berkeley's AMPLab/RISELab from 2016-17.
Broadly, my research interests lie in the area of computer and networked systems. I take a holistic approach towards solving real-world problems considering both theoretical and systems perspectives. I am interested in designing solutions rooted in fundamental theory and in building systems that employ these solutions and insights to advance the state-of-the-art.
In the recent past, my research has focused on fault tolerance, resource efficiency, load balancing and reducing latency in large-scale distributed data storage and caching systems. We designed coding theory based solutions that we proved are theoretically optimal; we also built systems using these solutions and evaluated them on Facebook's data-analytics cluster and on Amazon EC2 showing significant benefits over the state-of-the-art. The solutions that we proposed are now a part of Apache Hadoop 3.0 and under consideration by several companies for use in their storage and analytics products.
For more details on my research, please visit my homepage: http://www.cs.cmu.edu/~rvinayak/