Subru Krishnan

Orcid: 0009-0007-8534-0889

According to our database1, Subru Krishnan authored at least 23 papers between 2014 and 2024.

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Bibliography

2024
Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service.
Proc. VLDB Endow., March, 2024

Lorentz: Learned SKU Recommendation Using Profile Data.
Proc. ACM Manag. Data, 2024

2023

Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Schema Matching using Pre-Trained Language Models.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Stitcher: Learned Workload Synthesis from Historical Performance Footprints.
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.
SIGMOD Rec., 2022

Doppler: Automated SKU Recommendation in Migrating SQL Workloads to the Cloud.
Proc. VLDB Endow., 2022

2021
KEA: Tuning an Exabyte-Scale Data Infrastructure.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020
Vamsa: Tracking Provenance in Data Science Scripts.
CoRR, 2020

Unearthing inter-job dependencies for better cluster scheduling.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Vamsa: Automated Provenance Tracking in Data Science Scripts.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Extending Relational Query Processing with ML Inference.
Proceedings of the 10th Conference on Innovative Data Systems Research, 2020


2019
SparkCruise: Handsfree Computation Reuse in Spark.
Proc. VLDB Endow., 2019

Data Science through the looking glass and what we found there.
CoRR, 2019

Peering through the Dark: An Owl's View of Inter-job Dependencies and Jobs' Impact in Shared Clusters.
Proceedings of the 2019 International Conference on Management of Data, 2019

Hydra: a federated resource manager for data-center scale analytics.
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.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

Peregrine: Workload Optimization for Cloud Query Engines.
Proceedings of the ACM Symposium on Cloud Computing, SoCC 2019, 2019

2016
Morpheus: Towards Automated SLOs for Enterprise Clusters.
Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

PerfOrator: eloquent performance models for Resource Optimization.
Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2014
Reservation-based Scheduling: If You're Late Don't Blame Us!
Proceedings of the ACM Symposium on Cloud Computing, 2014


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