Jyoti Leeka

20 papers A* 1A 2B 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
GEqO: ML-Accelerated Semantic Equivalence Detection.
CoRR
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
2024 J jnl
Sibyl: Forecasting Time-Evolving Query Workloads.
CoRR
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
2024 J jnl
Sibyl: Forecasting Time-Evolving Query Workloads.
Proc. ACM Manag. Data
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
2024 J jnl
Towards Building Autonomous Data Services on Azure.
CoRR
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
2023 J jnl
GEqO: ML-Accelerated Semantic Equivalence Detection.
Proc. ACM Manag. Data
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
2023 J jnl
Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search.
SIGMOD Rec.
Olga Poppe, Pablo Castro, Willis Lang, Jyoti Leeka
2023 — conf
Towards Building Autonomous Data Services on Azure.
SIGMOD Conference Companion
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
2023 A* conf
Unshackling Database Benchmarking from Synthetic Workloads.
ICDE
Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi
2022 J jnl
Pipemizer: An Optimizer for Analytics Data Pipelines.
Proc. VLDB Endow.
Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc T. Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka
2022 J jnl
Query Optimizer as a Service: An Idea Whose Time Has Come!
SIGMOD Rec.
Alekh Jindal, Jyoti Leeka
2021 B conf
Production Experiences from Computation Reuse at Microsoft.
EDBT
Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes
2021 J jnl
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward.
Proc. VLDB Endow.
Conor Power, Hiren Patel, Alekh Jindal, Jyoti Leeka, Bob Jenkins, Michael Rys, Ed Triou, Dexin Zhu, Lucky Katahanas, Chakrapani Bhat Talapady, Josh Rowe, Fan Zhang, Rich Draves, Ivan Santa, Amrish Kumar
2020 A conf
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML.
CIDR
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 J jnl
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics.
ACM Trans. Storage
Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
2019 J jnl
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML.
CoRR
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
2019 A conf
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics.
FAST
Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
2019 J jnl
Incorporating Super-Operators in Big-Data Query Optimizers.
Proc. VLDB Endow.
Jyoti Leeka, Kaushik Rajan
2017 J jnl
STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters.
CoRR
Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Sriram Lakshminarasimhan
2016 J jnl
A Formal Graph Model for RDF and Its Implementation.
CoRR
Vinh Nguyen, Jyoti Leeka, Olivier Bodenreider, Amit P. Sheth
2014 — conf
RQ-RDF-3X: Going beyond triplestores.
ICDE Workshops
Jyoti Leeka, Srikanta Bedathur