Ashvin Agrawal

Principal Research SDE

출판물

자료 보기:

- 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
  
  ACM SIGMOD | June 2024
  
  Publication PDF DOI
- 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 Subotić, Markus Weimer, Yinghui Wu, Yiwen Zhu
  
  ACM SIGMOD | July 2023
  
  Publication
- Vamsa: Automated Provenance Tracking in Data Science Scripts
  
  Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yiwen Zhu, Markus Weimer, Yinghui Wu
  
  KDD | August 2020
  
  Publication
- 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
  
  Conference on Innovative Data Systems Research (CIDR) | January 2020
  
  PDF
- 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
  
  ACM Symposium on Cloud Computing (SOCC) | October 2018
  
  Best Paper Award
  
  Publication
- Dhalion in action: automatic management of streaming applications
  
  Avrilia Floratou, Ashvin Agrawal
  
  Proceedings of the VLDB Endowment | August 2018, 제 11 권(12)
  
  DOI PDF Publication
- Dhalion: Self-Regulating Stream Processing in Heron
  
  Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy
  
  Proceedings of the VLDB Endowment | August 2017
  
  Publication 프로젝트
- 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
  
  ICDE | May 2017
  
  Publication Publication 프로젝트

- 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
  
  ACM SIGMOD | June 2024
  
  Publication PDF DOI
- 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 Subotić, Markus Weimer, Yinghui Wu, Yiwen Zhu
  
  ACM SIGMOD | July 2023
  
  Publication
- Vamsa: Automated Provenance Tracking in Data Science Scripts
  
  Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yiwen Zhu, Markus Weimer, Yinghui Wu
  
  KDD | August 2020
  
  Publication
- 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
  
  Conference on Innovative Data Systems Research (CIDR) | January 2020
  
  PDF
- Dhalion in action: automatic management of streaming applications
  
  Avrilia Floratou, Ashvin Agrawal
  
  Proceedings of the VLDB Endowment | August 2018, 제 11 권(12)
  
  DOI PDF Publication
- Dhalion: Self-Regulating Stream Processing in Heron
  
  Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy
  
  Proceedings of the VLDB Endowment | August 2017
  
  Publication 프로젝트
- 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
  
  ICDE | May 2017
  
  Publication Publication 프로젝트
- 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
  
  Conference on Innovative Data Systems Research (CIDR) | January 2020
  
  PDF
- 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
  
  ACM Symposium on Cloud Computing (SOCC) | October 2018
  
  Best Paper Award
  
  Publication
- 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
  
  ACM Symposium on Cloud Computing (SOCC) | October 2018
  
  Best Paper Award
  
  Publication

- 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
  
  ACM SIGMOD | June 2024
  
  Publication PDF DOI
- 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 Subotić, Markus Weimer, Yinghui Wu, Yiwen Zhu
  
  ACM SIGMOD | July 2023
  
  Publication
- Vamsa: Automated Provenance Tracking in Data Science Scripts
  
  Mohammad Hossein Namaki, Avrilia Floratou, Fotis Psallidas, Subru Krishnan, Ashvin Agrawal, Yiwen Zhu, Markus Weimer, Yinghui Wu
  
  KDD | August 2020
  
  Publication
- 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
  
  Conference on Innovative Data Systems Research (CIDR) | January 2020
  
  PDF
- 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
  
  ACM Symposium on Cloud Computing (SOCC) | October 2018
  
  Best Paper Award
  
  Publication
- Dhalion: Self-Regulating Stream Processing in Heron
  
  Avrilia Floratou, Ashvin Agrawal, Bill Graham, Sriram Rao, Karthik Ramasamy
  
  Proceedings of the VLDB Endowment | August 2017
  
  Publication 프로젝트
- 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
  
  ICDE | May 2017
  
  Publication Publication 프로젝트
- Dhalion in action: automatic management of streaming applications
  
  Avrilia Floratou, Ashvin Agrawal
  
  Proceedings of the VLDB Endowment | August 2018, 제 11 권(12)
  
  DOI PDF Publication

Ashvin Agrawal

출판물

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

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

Vamsa: Automated Provenance Tracking in Data Science Scripts

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

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

Dhalion in action: automatic management of streaming applications

Dhalion: Self-Regulating Stream Processing in Heron

Twitter Heron: Towards Extensible Streaming Engines

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

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

Vamsa: Automated Provenance Tracking in Data Science Scripts

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

Dhalion in action: automatic management of streaming applications

Dhalion: Self-Regulating Stream Processing in Heron

Twitter Heron: Towards Extensible Streaming Engines

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

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

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

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

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

Vamsa: Automated Provenance Tracking in Data Science Scripts

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

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

Dhalion: Self-Regulating Stream Processing in Heron

Twitter Heron: Towards Extensible Streaming Engines

Dhalion in action: automatic management of streaming applications