Subru Krishnan

According to our database, Subru Krishnan authored at least 23 papers between 2014 and 2024.

Collaborative distances:

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

2024

Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service.

Deepak Ravikumar, Alex Yeo, Yiwen Zhu, Aditya Lakra, Harsha Nagulapalli, Santhosh Ravindran, Steve Suh, Niharika Dutta, Andrew Fogarty, Yoonjae Park, Sumeet Khushalani, Arijit Tarafdar, Kunal Parekh, Subru Krishnan

Proc. VLDB Endow., March, 2024

Lorentz: Learned SKU Recommendation Using Profile Data.

Nick Glaze, Tria McNeely, Yiwen Zhu, Matthew Gleeson, Helen Serr, Rajeev Bhopi, Subru Krishnan

Proc. ACM Manag. Data, 2024

2023

Towards Building Autonomous Data Services on Azure.

Yiwen Zhu, Yuanyuan Tian, Joyce Cahoon, Subru Krishnan, Ankita Agarwal, Rana Alotaibi, Jesús Camacho-Rodríguez, 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 Müller, 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

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

Schema Matching using Pre-Trained Language Models.

Yunjia Zhang, Avrilia Floratou, Joyce Cahoon, Subru Krishnan, Andreas C. Müller, Dalitso Banda, Fotis Psallidas, Jignesh M. Patel

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

Proceedings of the Proceedings 26th International Conference on Extending Database Technology, 2023

2022

Data Science Through the Looking Glass: Analysis of Millions of GitHub Notebooks and ML.NET Pipelines.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Jordan Henkel, Matteo Interlandi, Subru Krishnan, Brian Kroth, K. Venkatesh Emani, Wentao Wu, Ce Zhang, Markus Weimer, Avrilia Floratou, Carlo Curino, Konstantinos Karanasos

SIGMOD Rec., 2022

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.

Joyce Cahoon, Wenjing Wang, Yiwen Zhu, Katherine Lin, Sean Liu, Raymond Truong, Neetu Singh, Chengcheng Wan, Alexandra M. Ciortea, Sreraman Narasimhan, Subru Krishnan

Proc. VLDB Endow., 2022

2021

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

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Vamsa: Tracking Provenance in Data Science Scripts.

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

CoRR, 2020

Unearthing inter-job dependencies for better cluster scheduling.

Andrew Chung, Subru Krishnan, Konstantinos Karanasos, Carlo Curino, Gregory R. Ganger

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 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

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

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

2019

SparkCruise: Handsfree Computation Reuse in Spark.

Abhishek Roy, Alekh Jindal, Hiren Patel, Ashit Gosalia, Subru Krishnan, Carlo Curino

Proc. VLDB Endow., 2019

Data Science through the looking glass and what we found there.

Fotis Psallidas, Yiwen Zhu, Bojan Karlas, Matteo Interlandi, Avrilia Floratou, Konstantinos Karanasos, Wentao Wu, Ce Zhang, Subru Krishnan, Carlo Curino, Markus Weimer

CoRR, 2019

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

Proceedings of the 2019 International Conference on Management of Data, 2019

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

Proceedings of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019

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

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Peregrine: Workload Optimization for Cloud Query Engines.

Alekh Jindal, Hiren Patel, Abhishek Roy, Shi Qiao, Zhicheng Yin, Rathijit Sen, Subru Krishnan

Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2016

Morpheus: Towards Automated SLOs for Enterprise Clusters.

Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Iñigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao

Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

PerfOrator: eloquent performance models for Resource Optimization.

Kaushik Rajan, Dharmesh Kakadia, Carlo Curino, Subru Krishnan

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2014

Reservation-based Scheduling: If You're Late Don't Blame Us!

Carlo Curino, Djellel Eddine Difallah, Chris Douglas, Subru Krishnan, Raghu Ramakrishnan, Sriram Rao

Proceedings of the ACM Symposium on Cloud Computing, 2014