Peak power plays in database engines. - Mayuresh Kunjir; Puneet K. Birwa; Jayant R. Haritsa (EDBT, 2012)

Thoth: Towards Managing a Multi-System Cluster. - Mayuresh Kunjir; Prajakta Kalmegh; Shivnath Babu (Proc. VLDB Endow., 2014)

ROBUS: Fair Cache Allocation for Multi-tenant Data-parallel Workloads. - Mayuresh Kunjir; Brandon Fain; Kamesh Munagala; Shivnath Babu (CoRR, 2015)

ROBUS: Fair Cache Allocation for Data-parallel Workloads. - Mayuresh Kunjir; Brandon Fain; Kamesh Munagala; Shivnath Babu (SIGMOD Conference, 2017)

Thoth in Action: Memory Management in Modern Data Analytics. - Mayuresh Kunjir; Shivnath Babu (Proc. VLDB Endow., 2017)

Guided Bayesian Optimization to AutoTune Memory-Based Analytics. - Mayuresh Kunjir (ICDE Workshops, 2019)

Automating Memory Management in Data Analytics. - Mayuresh Kunjir (2019)

Black or White? How to Develop an AutoTuner for Memory-based Analytics. - Mayuresh Kunjir; Shivnath Babu (SIGMOD Conference, 2020)

Black or White? How to Develop an AutoTuner for Memory-based Analytics [Extended Version]. - Mayuresh Kunjir; Shivnath Babu (CoRR, 2020)

Speeding up AutoTuning of the Memory Management Options in Data Analytics. - Mayuresh Kunjir (Distributed Parallel Databases, 2020)

WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows. - Bing Xie; Qiang Cao 005; Mayuresh Kunjir; Linli Wan; Jeffrey S. Chase; Anirban Mandal; Mats Rynge (CLUSTER, 2021)

Offline Reinforcement Learning for Road Traffic Control. - Mayuresh Kunjir; Sanjay Chawla (CoRR, 2022)

Automated Annotations for AI Data and Model Transparency. - Saravanan Thirumuruganathan; Mayuresh Kunjir; Mourad Ouzzani; Sanjay Chawla (ACM J. Data Inf. Qual., 2022)

Optimizing Traffic Control with Model-Based Learning: A Pessimistic Approach to Data-Efficient Policy Inference. - Mayuresh Kunjir; Sanjay Chawla; Siddarth Chandrasekar; Devika Jay; Balaraman Ravindran (KDD, 2023)

Cross Modal Data Discovery over Structured and Unstructured Data Lakes. - Mohamed Y. Eltabakh; Mayuresh Kunjir; Ahmed K. Elmagarmid; Mohammad Shahmeer Ahmad (Proc. VLDB Endow., 2023)