Jyoti Leeka

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Spatial Filters

Query Optimizers

Allocation Policy

Top Venues

Proc. VLDB Endow.

Proc. ACM Manag. Data

Publications

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
Towards Building Autonomous Data Services on Azure. CoRR (2024)
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
Sibyl: Forecasting Time-Evolving Query Workloads. CoRR (2024)
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
GEqO: ML-Accelerated Semantic Equivalence Detection. CoRR (2024)
Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian
Sibyl: Forecasting Time-Evolving Query Workloads. Proc. ACM Manag. Data 2 (1) (2024)
Olga Poppe, Pablo Castro, Willis Lang, Jyoti Leeka
Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search. SIGMOD Rec. 52 (3) (2023)
Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian
GEqO: ML-Accelerated Semantic Equivalence Detection. Proc. ACM Manag. Data 1 (4) (2023)
Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi
Unshackling Database Benchmarking from Synthetic Workloads. ICDE (2023)
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 Mueller, 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
Towards Building Autonomous Data Services on Azure. SIGMOD Conference Companion (2023)
Sunny Gakhar, Joyce Cahoon, Wangchao Le, Xiangnan Li, Kaushik Ravichandran, Hiren Patel, Marc T. Friedman, Brandon Haynes, Shi Qiao, Alekh Jindal, Jyoti Leeka
Pipemizer: An Optimizer for Analytics Data Pipelines. Proc. VLDB Endow. 15 (12) (2022)
Alekh Jindal, Jyoti Leeka
Query Optimizer as a Service: An Idea Whose Time Has Come! SIGMOD Rec. 51 (3) (2022)
Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes
Production Experiences from Computation Reuse at Microsoft. EDBT (2021)
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
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward. Proc. VLDB Endow. 14 (12) (2021)
Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. ACM Trans. Storage 15 (4) (2020)
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
Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. CIDR (2020)
Muthian Sivathanu, Midhul Vuppalapati, Bhargav S. Gulavani, Kaushik Rajan, Jyoti Leeka, Jayashree Mohan, Piyus Kedia
INSTalytics: Cluster Filesystem Co-design for Big-data Analytics. FAST (2019)
Jyoti Leeka, Kaushik Rajan
Incorporating Super-Operators in Big-Data Query Optimizers. Proc. VLDB Endow. 13 (3) (2019)
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
Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML. CoRR (2019)
Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Sriram Lakshminarasimhan
STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters. CoRR (2017)
Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre
: An Efficient Top-K Processing Framework for RDF Quad Stores. CIKM (2016)
Vinh Nguyen, Jyoti Leeka, Olivier Bodenreider, Amit P. Sheth
A Formal Graph Model for RDF and Its Implementation. CoRR (2016)
Jyoti Leeka, Srikanta Bedathur
RQ-RDF-3X: Going beyond triplestores. ICDE Workshops (2014)