research

home | experience | about

scalable data analytics

DROP: Optimizing Dimensionality Reduction for Time Series
Sahaana Suri, Peter Bailis
In Submission, arXiv:1708.00183

Exploring the Use of Learning Algorithms for Efficient Performance Profiling
Shoumik Palkar*, Sahaana Suri* , Peter Bailis, Matei Zaharia
NeurIPS 2018 Workshop on Machine Learning for Systems

DIFF: A Relational Aggregation Operator for Finding Explanations
Firas Abuzaid, Peter Kraft, Sahaana Suri , Edward Gan, Eric Xu, Peter Bailis, Matei Zaharia
Very Large Databases (VLDB) 2019

MacroBase: Prioritizing Attention in Fast Data
Firas Abuzaid, Peter Bailis, Jialin Ding, Edward Gan, Sam Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri
ACM Transactions on Database Systems (TODS) 2018

Prioritizing Attention in Fast Data: Principles and Promise
Peter Bailis, Edward Gan, Kexin Rong, Sahaana Suri
Conference on Innovative Data Systems Research (CIDR) 2017

MacroBase: Prioritizing Attention in Fast Data
Peter Bailis, Edward Gan, Samuel Madden, Deepak Narayanan, Kexin Rong, Sahaana Suri
ACM Special Interest Group on Management of Data (SIGMOD) 2017


wireless control

Real-time Cooperative Communication for Automation over Wireless
Vasuki Narasimha Swamy, Sahaana Suri, Paul Rigge, Matt Weiner, Gireeja Ranade, Anant Sahai and Bora Nikolic
IEEE Transactions on Wireless Communications 2017

Cooperative Communication for High-Reliability Low-Latency Wireless Control
Vasuki Narasimha Swamy, Sahaana Suri, Paul Rigge, Matt Weiner, Gireeja Ranade, Anant Sahai and Bora Nikolic
IEEE International Conference on Communications (ICC) 2015