Towards Building Autonomous Data Services on Azure

Author:

Zhu Yiwen1ORCID,Tian Yuanyuan2ORCID,Cahoon Joyce1ORCID,Krishnan Subru2ORCID,Agarwal Ankita1ORCID,Alotaibi Rana1ORCID,Camacho-Rodriguez Jesús2ORCID,Chundatt Bibin3ORCID,Chung Andrew4ORCID,Dutta Niharika1ORCID,Fogarty Andrew5ORCID,Gruenheid Anja1ORCID,Haynes Brandon1ORCID,Interlandi Matteo6ORCID,Iyer Minu1ORCID,Jurgens Nick1ORCID,Khushalani Sumeet1ORCID,Kroth Brian7ORCID,Kumar Manoj3ORCID,Leeka Jyoti8ORCID,Matusevych Sergiy1ORCID,Mittal Minni3ORCID,Mueller Andreas8ORCID,Muthyala Kartheek1ORCID,Nagulapalli Harsha1ORCID,Park Yoonjae1ORCID,Patel Hiren1ORCID,Pavlenko Anna1ORCID,Poppe Olga1ORCID,Ravindran Santhosh1ORCID,Saur Karla1ORCID,Sen Rathijit1ORCID,Suh Steve1ORCID,Tarafdar Arijit1ORCID,Waghray Kunal9ORCID,Wang Demin1ORCID,Curino Carlo1ORCID,Ramakrishnan Raghu1ORCID

Affiliation:

1. Microsoft, Redmond, WA, USA

2. Microsoft, Mountain View, WA, USA

3. Microsoft, Bangalore, India

4. Microsoft, Suzhou, China

5. Microsoft, New York, NY, USA

6. Microsoft, Los Angelos, CA, USA

7. Microsoft, Madison, WI, USA

8. Microsoft, Mountain View, CA, USA

9. Microsoft, Milwaukee, WI, USA

Publisher

ACM

Reference52 articles.

1. 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 and Yiwen Zhu. 2020. Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. In 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 and Yiwen Zhu. 2020. Cloudy with high chance of DBMS: a 10-year prediction for Enterprise-Grade ML. In CIDR.

2. Eric Boutin , Jaliya Ekanayake , Wei Lin , Bing Shi , Jingren Zhou , Zhengping Qian , Ming Wu , and Lidong Zhou . 2014 . Apollo: Scalable and Coordinated Scheduling for $$Cloud-Scale$$ Computing. In OSDI. 285--300. Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, and Lidong Zhou. 2014. Apollo: Scalable and Coordinated Scheduling for $$Cloud-Scale$$ Computing. In OSDI. 285--300.

3. AutoAdmin Project at Microsoft Research;Bruno Nicolas;Lessons Learned. IEEE Data Eng. Bull.,2011

4. cachelot.io. [n.d.]. Memcached Performance Tuning. https://cachelot.io/blog/2015/04/20/Speed-up-your-application-by-fine-tuning-Memcached.html. cachelot.io. [n.d.]. Memcached Performance Tuning. https://cachelot.io/blog/2015/04/20/Speed-up-your-application-by-fine-tuning-Memcached.html.

5. Doppler

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems;Proceedings of the VLDB Endowment;2024-07

2. Toward Using Representation Learning for Cloud Resource Usage Forecasting;Proceedings of the 2024 Workshop on AI For Systems;2024-06-03

3. Lorentz: Learned SKU Recommendation Using Profile Data;Proceedings of the ACM on Management of Data;2024-05-29

4. TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Do Predictors for Resource Overcommitment Even Predict?;Proceedings of the 4th Workshop on Machine Learning and Systems;2024-04-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3