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Towards Building Autonomous Data Services on Azure

Towards Building Autonomous Data Services on Azure

Yiwen Zhu
Yuanyuan Tian
Joyce Cahoon
Subru Krishnan
A. Agarwal
R. 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
M. Kumar
Jyoti Leeka
Sergiy Matusevych
Minni Mittal
A. 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
R. Ramakrishnan
ArXiv (abs)PDFHTML

Papers citing "Towards Building Autonomous Data Services on Azure"

3 / 3 papers shown
Title
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Olga Poppe
Tayo Amuneke
Dalitso Banda
Aritra De
Ari Green
...
Soundararajan Srinivasan
Ping Xia
Shize Xu
Alicia Yang
Yiwen Zhu
10
29
0
27 Sep 2020
Improving fairness in machine learning systems: What do industry practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaMLHAI
245
765
0
13 Dec 2018
The Case for Learned Index Structures
The Case for Learned Index Structures
Tim Kraska
Alex Beutel
Ed H. Chi
J. Dean
N. Polyzotis
76
1,042
0
04 Dec 2017

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