Subru Krishnan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | KDD | ENCO: Deploying Production-Scale Engineering Copilots. | Yiwen Zhu, Mathieu B. Demarne, Kai Deng, Wenjing Wang, Nutan Sahoo, Hannah Lerner, Anjali Bhavan, Divya Vermareddy, Yunlei Lu, Swati Bararia, William Zhang, Xia Li, Katherine Lin, Miso Cilimdzic, Subru Krishnan |
| 2025 | CIKM | FLAIR: Feedback Learning for Adaptive Information Retrieval. | William Zhang, Yiwen Zhu, Yunlei Lu, Mathieu B. Demarne, Wenjing Wang, Kai Deng, Nutan Sahoo, Katherine Lin, Miso Cilimdzic, Subru Krishnan |
| 2025 | SIGMOD | First Workshop Connecting Academia and Industry on Modern Integrated Database and AI Systems (MIDAS). | Avrilia Floratou, Jignesh M. Patel, Subru Krishnan |
| 2025 | SIGMOD | Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. | Yiwen Zhu, Rathijit Sen, Brian Kroth, Sergiy Matusevych, Andreas C. Mueller, Tengfei Huang, Rahul Challapalli, Weihan Tang, Xin He, Mo Liu, Estera Kot, Sule Kahraman, Arshdeep Sekhon, Dario Bernal, Aditya Lakra, Shaily Fozdar, Dhruv Relwani, Rui Fang, Long Tian, Karuna Sagar Krishna, Ashit Gosalia, Carlo Curino, Subru Krishnan |
| 2025 | VLDB | AutoDebugger: Efficient Root Cause Analysis for Anomaly Jobs. | Fathelrahman Ali, Yiwen Zhu, Lie Jiang, Zhen Li, Manting Li, Kun Huang, Lijing Lin, Long Tian, Xiaolei Liu, Subru Krishnan |
| 2023 | EDBT | Stitcher: Learned Workload Synthesis from Historical Performance Footprints. | Chengcheng Wan, Yiwen Zhu, Joyce Cahoon, Wenjing Wang, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Alexandra M. Ciortea, Konstantinos Karanasos, Subru Krishnan |
| 2023 | ICDE | Schema Matching using Pre-Trained Language Models. | Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Mller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel |
| 2023 | SIGMOD | 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 |
| 2023 | SIGMOD | Towards Building Autonomous Data Services on Azure. | Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jess Camacho-Rodrguez, Bibin Chundatt, Andrew Chung, Niharika Dutta, Andrew Fogarty, Anja Gruenheid, Brandon Haynes, Matteo Interlandi, Minu Iyer, Nick Jurgens, Sumeet Khushalani, Brian Kroth, Manoj Kumar, Jyoti Leeka, Sergiy Matusevych, Minni Mittal, Andreas Mller, Kartheek Muthyala, Harsha Nagulapalli, Yoonjae Park, Hiren Patel, Anna Pavlenko, Olga Poppe, Santhosh Ravindran, Karla Saur, Rathijit Sen, Steve Suh, Arijit Tarafdar, Kunal Waghray, Demin Wang, Carlo Curino, Raghu Ramakrishnan |
| 2021 | SIGMOD | KEA: Tuning an Exabyte-Scale Data Infrastructure. | Yiwen Zhu, Subru Krishnan, Konstantinos Karanasos, Isha Tarte, Conor Power, Abhishek Modi, Manoj Kumar, Deli Zhang, Kartheek Muthyala, Nick Jurgens, Sarvesh Sakalanaga, Sudhir Darbha, Minu Iyer, Ankita Agarwal, Carlo Curino |
| 2020 | CIDR | 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 |
| 2020 | CIDR | Extending Relational Query Processing with ML Inference. | Konstantinos Karanasos, Matteo Interlandi, Fotis Psallidas, Rathijit Sen, Kwanghyun Park, Ivan Popivanov, Doris Xin, Supun Nakandala, Subru Krishnan, Markus Weimer, Yuan Yu, Raghu Ramakrishnan, Carlo Curino |
| 2020 | KDD | 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 |
| 2020 | OSDI | Unearthing inter-job dependencies for better cluster scheduling. | Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger |
| 2019 | CLOUD | Peregrine: Workload Optimization for Cloud Query Engines. | Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan |
| 2019 | CLOUD | Griffon: Reasoning about Job Anomalies with Unlabeled Data in Cloud-based Platforms. | Liqun Shao, Yiwen Zhu, Siqi Liu, Abhiram Eswaran, Kristin Lieber, Janhavi Suresh Mahajan, Minsoo Thigpen, Sudhir Darbha, Subru Krishnan, Soundar Srinivasan, Carlo Curino, Konstantinos Karanasos |
| 2019 | NSDI | Hydra: a federated resource manager for data-center scale analytics. | Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Sriram Rao, Giovanni Matteo Fumarola, Botong Huang, Kishore Chaliparambil, Arun Suresh, Young Chen, Solom Heddaya, Roni Burd, Sarvesh Sakalanaga, Chris Douglas, Bill Ramsey, Raghu Ramakrishnan |
| 2019 | SIGMOD | Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters. | Andrew Chung, Carlo Curino, Subru Krishnan, Konstantinos Karanasos, Panagiotis Garefalakis, Gregory R. Ganger |
| 2016 | CLOUD | PerfOrator: eloquent performance models for Resource Optimization. | Kaushik Rajan, Dharmesh Kakadia, Carlo Curino, Subru Krishnan |
| 2016 | OSDI | Morpheus: Towards Automated SLOs for Enterprise Clusters. | Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao |
| 2014 | CLOUD | Reservation-based Scheduling: If You're Late Don't Blame Us! | Carlo Curino, Djellel Eddine Difallah, Chris Douglas, Subru Krishnan, Raghu Ramakrishnan, Sriram Rao |