Vikram Nathan

According to our database, Vikram Nathan authored at least 17 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stage: Query Execution Time Prediction in Amazon Redshift.

Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Intelligent Scaling in Amazon Redshift.

Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2022

Building Instance Aware Systems using Explicit Performance Modeling.

Vikram Nathan

PhD thesis, 2022

SageDB: An Instance-Optimized Data Analytics System.

Jialin Ding, Ryan Marcus, Andreas Kipf, Vikram Nathan, Aniruddha Nrusimha, Kapil Vaidya, Alexander van Renen, Tim Kraska

Proc. VLDB Endow., 2022

2020

Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads.

Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska

Proc. VLDB Endow., 2020

Cortex: Harnessing Correlations to Boost Query Performance.

Vikram Nathan, Jialin Ding, Tim Kraska, Mohammad Alizadeh

CoRR, 2020

Learning Multi-Dimensional Indexes.

Vikram Nathan, Jialin Ding, Mohammad Alizadeh, Tim Kraska

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

LISA: Towards Learned DNA Sequence Search.

Darryl Ho, Jialin Ding, Sanchit Misra, Nesime Tatbul, Vikram Nathan, Md. Vasimuddin, Tim Kraska

CoRR, 2019

End-to-end transport for video QoE fairness.

Vikram Nathan, Vibhaalakshmi Sivaraman, Ravichandra Addanki, Mehrdad Khani Shirkoohi, Prateesh Goyal, Mohammad Alizadeh

Proceedings of the ACM Special Interest Group on Data Communication, 2019

Park: An Open Platform for Learning-Augmented Computer Systems.

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

SageDB: A Learned Database System.

Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

2018

Vesper: Measuring Time-to-Interactivity for Web Pages.

Ravi Netravali, Vikram Nathan, James Mickens, Hari Balakrishnan

Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

2017

Demonstration of the Marple System for Network Performance Monitoring.

Vikram Nathan, Srinivas Narayana, Anirudh Sivaraman, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, Changhoon Kim

Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Language-Directed Hardware Design for Network Performance Monitoring.

Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, Changhoon Kim

Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

2016

Hardness of peeling with stashes.

Michael Mitzenmacher, Vikram Nathan

Inf. Process. Lett., 2016

Hardware-Software Co-Design for Network Performance Measurement.

Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Mohammad Alizadeh, David Walker, Jennifer Rexford, Vimalkumar Jeyakumar, Changhoon Kim

Proceedings of the 15th ACM Workshop on Hot Topics in Networks, 2016

2014

Accurate Streaming Support Vector Machines.

Vikram Nathan, Sharath Raghvendra

CoRR, 2014