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2020 – today
- 2024
[j8]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): 53:1-53:27 (2024)- [i6]Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. CoRR abs/2401.01280 (2024) - [i5]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 abs/2401.03723 (2024) - [i4]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 abs/2405.01813 (2024) - 2023
- [j7]Brandon Haynes, Rana Alotaibi, Anna Pavlenko, Jyoti Leeka, Alekh Jindal, Yuanyuan Tian:
GEqO: ML-Accelerated Semantic Equivalence Detection. Proc. ACM Manag. Data 1(4): 223:1-223:25 (2023) - [j6]Olga Poppe, Pablo Castro, Willis Lang, Jyoti Leeka:
Proactive Resource Allocation Policy for Microsoft Azure Cognitive Search. SIGMOD Rec. 52(3): 41-48 (2023) - [c7]Parimarjan Negi, Laurent Bindschaedler, Mohammad Alizadeh, Tim Kraska, Jyoti Leeka, Anja Gruenheid, Matteo Interlandi:
Unshackling Database Benchmarking from Synthetic Workloads. ICDE 2023: 3659-3662 - [c6]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. SIGMOD Conference Companion 2023: 217-224 - 2022
- [j5]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): 3710-3713 (2022) - [j4]Alekh Jindal, Jyoti Leeka:
Query Optimizer as a Service: An Idea Whose Time Has Come! SIGMOD Rec. 51(3): 49-55 (2022) - 2021
- [j3]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): 3148-3161 (2021) - [c5]Alekh Jindal, Shi Qiao, Hiren Patel, Abhishek Roy, Jyoti Leeka, Brandon Haynes:
Production Experiences from Computation Reuse at Microsoft. EDBT 2021: 623-634 - 2020
- [j2]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): 23:1-23:30 (2020) - [c4]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
2010 – 2019
- 2019
- [j1]Jyoti Leeka, Kaushik Rajan:
Incorporating Super-Operators in Big-Data Query Optimizers. Proc. VLDB Endow. 13(3): 348-361 (2019) - [c3]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: 235-248 - [i3]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 abs/1909.00084 (2019) - 2017
- [i2]Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Sriram Lakshminarasimhan:
STREAK: An Efficient Engine for Processing Top-k SPARQL Queries with Spatial Filters. CoRR abs/1710.07411 (2017) - 2016
- [c2]Jyoti Leeka, Srikanta Bedathur, Debajyoti Bera, Medha Atre:
Quark-X: An Efficient Top-K Processing Framework for RDF Quad Stores. CIKM 2016: 831-840 - [i1]Vinh Nguyen, Jyoti Leeka, Olivier Bodenreider, Amit P. Sheth:
A Formal Graph Model for RDF and Its Implementation. CoRR abs/1606.00480 (2016) - 2014
- [c1]Jyoti Leeka, Srikanta Bedathur:
RQ-RDF-3X: Going beyond triplestores. ICDE Workshops 2014: 263-268
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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