Vikram Nathan

22 papers A* 3A 1Misc 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
Forecasting Algorithms for Intelligent Resource Scaling: An Experimental Analysis.
SoCC
Yanlei Diao, Dominik Horn, Andreas Kipf, Oleksandr Shchur, Ines Benito, Wenjian Dong, Davide Pagano, Pascal Pfeil, Vikram Nathan, Balakrishnan Narayanaswamy, Tim Kraska
2024 — conf
Intelligent Scaling in Amazon Redshift.
SIGMOD Conference Companion
Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska
2024 — conf
Stage: Query Execution Time Prediction in Amazon Redshift.
SIGMOD Conference Companion
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2024 J jnl
Stage: Query Execution Time Prediction in Amazon Redshift.
CoRR
Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2022 — —
Building Instance Aware Systems using Explicit Performance Modeling.
Vikram Nathan
2022 J jnl
SageDB: An Instance-Optimized Data Analytics System.
Proc. VLDB Endow.
Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska
2020 J jnl
Cortex: Harnessing Correlations to Boost Query Performance.
CoRR
Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh
2020 — conf
Learning Multi-Dimensional Indexes.
SIGMOD Conference
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
2020 J jnl
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.
CoRR
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
2020 J jnl
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.
Proc. VLDB Endow.
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska
2019 A* conf
End-to-end transport for video QoE fairness.
SIGCOMM
Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh
2019 J jnl
LISA: Towards Learned DNA Sequence Search.
CoRR
Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska
2019 J jnl
Learning Multi-dimensional Indexes.
CoRR
Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska
2019 A* conf
Park: An Open Platform for Learning-Augmented Computer Systems.
NeurIPS
Hongzi Mao, Parimarjan Negi, Akshay Narayan, Hanrui Wang, Jiacheng Yang, Haonan Wang, Ryan Marcus, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Songtao He, Vikram Nathan, Frank Cangialosi, Shaileshh Bojja Venkatakrishnan, Wei-Hung Weng, Song Han, Tim Kraska, Mohammad Alizadeh
2019 A conf
SageDB: A Learned Database System.
CIDR
Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
2018 Misc conf
Vesper: Measuring Time-to-Interactivity for Web Pages.
NSDI
Ravi Netravali, Vikram Nathan, James Mickens, Hari Balakrishnan
2017 — conf
Demonstration of the Marple System for Network Performance Monitoring.
SIGCOMM Posters and Demos
Vikram Nathan, Srinivas Narayana, Anirudh Sivaraman, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, Changhoon Kim
2017 A* conf
Language-Directed Hardware Design for Network Performance Monitoring.
SIGCOMM
Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, Changhoon Kim
2016 J jnl
Hardness of peeling with stashes.
Inf. Process. Lett.
Michael Mitzenmacher, Vikram Nathan
2016 Misc conf
Hardware-Software Co-Design for Network Performance Measurement.
HotNets
Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Mohammad Alizadeh, David Walker, Jennifer Rexford, Vimalkumar Jeyakumar, Changhoon Kim
2014 J jnl
Accurate Streaming Support Vector Machines.
CoRR
Vikram Nathan, Sharath Raghvendra
2014 J jnl
Hardness of Peeling with Stashes.
CoRR
Michael Mitzenmacher, Vikram Nathan