Ashvin Agrawal

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Stream Processing Systems

Polarity Classification

Microblog Posts

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. Proc. ACM Manag. Data 2 (1) (2024)
Ashvin Agrawal, Tim Brown, Anoop Johnson, Jesús Camacho-Rodríguez, Kyle Weller, Carlo Curino, Raghu Ramakrishnan
XTable in Action: Seamless Interoperability in Data Lakes. CoRR (2024)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance From Database Query Event Logs. Proc. VLDB Endow. 16 (12) (2023)
Fotis Psallidas, Megan Eileen Leszczynski, Mohammad Hossein Namaki, Avrilia Floratou, Ashvin Agrawal, Konstantinos Karanasos, Subru Krishnan, Pavle Subotic, Markus Weimer, Yinghui Wu, Yiwen Zhu
Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. SIGMOD Conference Companion (2023)
Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
LST-Bench: Benchmarking Log-Structured Tables in the Cloud. CoRR (2023)
Fotis Psallidas, Ashvin Agrawal, Chandru Sugunan, Khaled Ibrahim, Konstantinos Karanasos, Jesús Camacho-Rodríguez, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan
OneProvenance: Efficient Extraction of Dynamic Coarse-Grained Provenance from Database Logs. CoRR (2022)
Ke Wang, Avrilia Floratou, Ashvin Agrawal, Daniel Musgrave
Spur: Mitigating Slow Instances in Large-Scale Streaming Pipelines. SIGMOD Conference (2020)
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu
Vamsa: Tracking Provenance in Data Science Scripts. CoRR (2020)
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
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yinghui Wu, Yiwen Zhu, Markus Weimer
Vamsa: Automated Provenance Tracking in Data Science Scripts. KDD (2020)
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
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Virajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao
Netco: Cache and I/O Management for Analytics over Disaggregated Stores. SoCC (2018)
Ashvin Agrawal, Avrilia Floratou
Dhalion in Action: Automatic Management of Streaming Applications. Proc. VLDB Endow. 11 (12) (2018)
Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy
Dhalion: Self-Regulating Stream Processing in Heron. Proc. VLDB Endow. 10 (12) (2017)
Avrilia Floratou, Ashvin Agrawal
Self-Regulating Streaming Systems: Challenges and Opportunities. BIRTE (2017)
Maosong Fu, Ashvin Agrawal, Avrilia Floratou, Bill Graham, Andrew Jorgensen, Mark Li, Neng Lu, Karthik Ramasamy, Sriram Rao, Cong Wang
Twitter Heron: Towards Extensible Streaming Engines. ICDE (2017)