Ashvin Agrawal

According to our database, Ashvin Agrawal authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

XTable in Action: Seamless Interoperability in Data Lakes.

Ashvin Agrawal, Tim Brown, Anoop Johnson, Jesús Camacho-Rodríguez, Kyle Weller, Carlo Curino, Raghu Ramakrishnan

CoRR, 2024

2023

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

Proc. VLDB Endow., 2023

LST-Bench: Benchmarking Log-Structured Tables in the Cloud.

Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

CoRR, 2023

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.

Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

2022

OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs.

Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

CoRR, 2022

2020

Vamsa: Tracking Provenance in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu

CoRR, 2020

Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines.

Ke Wang, Avrilia Floratou, Ashvin Agrawal, Daniel Musgrave

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

Vamsa: Automated Provenance Tracking in Data Science Scripts.

Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.

Ashvin Agrawal, Rony Chatterjee, Carlo Curino, Avrilia Floratou, Neha Godwal, Matteo Interlandi, Alekh Jindal, Konstantinos Karanasos, Subru Krishnan, Brian Kroth, Jyoti Leeka, Kwanghyun Park, Hiren Patel, Olga Poppe, Fotis Psallidas, Raghu Ramakrishnan, Abhishek Roy, Karla Saur, Rathijit Sen, Markus Weimer, Travis Wright, Yiwen Zhu

Proceedings of the 10th Conference on Innovative Data Systems Research, 2020

2018

Dhalion in Action: Automatic Management of Streaming Applications.

Ashvin Agrawal, Avrilia Floratou

Proc. VLDB Endow., 2018

Netco: Cache and I/O Management for Analytics over Disaggregated Stores.

Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao

Proceedings of the ACM Symposium on Cloud Computing, 2018

2017

Dhalion: Self-Regulating Stream Processing in Heron.

Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy

Proc. VLDB Endow., 2017

Twitter Heron: Towards Extensible Streaming Engines.

Maosong Fu, Ashvin Agrawal, Avrilia Floratou, Bill Graham, Andrew Jorgensen, Mark Li, Neng Lu, Karthik Ramasamy, Sriram Rao, Cong Wang

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Self-Regulating Streaming Systems: Challenges and Opportunities.

Avrilia Floratou, Ashvin Agrawal

Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, 2017