Ajay Kalhan

12 papers A* 3Journal 8Unranked 1
YearRankTypeTitle / Venue / Authors
2024 — conf
Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless.
SIGMOD Conference Companion
Olga Poppe, Pankaj Arora, Sakshi Sharma, Jie Chen, Sachin Pandit, Rahul Sawhney, Vaishali Jhalani, Willis Lang, Qun Guo, Anupriya Inumella, Sanjana Dulipeta Sridhar, Dheren Gala, Nilesh Rathi, Morgan Oslake, Alexandru Chirica, Sarika Iyer, Prateek Goel, Ajay Kalhan
2023 J jnl
Flexible Resource Allocation for Relational Database-as-a-Service.
Proc. VLDB Endow.
Pankaj Arora, Surajit Chaudhuri, Sudipto Das, Junfeng Dong, Cyril George, Ajay Kalhan, Arnd Christian König, Willis Lang, Changsong Li, Feng Li, Jiaqi Liu, Lukas M. Maas, Akshay Mata, Ishai Menache, Justin Moeller, Vivek R. Narasayya, Matthaios Olma, Morgan Oslake, Elnaz Rezai, Yi Shan, Manoj Syamala, Shize Xu, Vasileios Zois
2022 J jnl
Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless.
Proc. VLDB Endow.
Olga Poppe, Qun Guo, Willis Lang, Pankaj Arora, Morgan Oslake, Shize Xu, Ajay Kalhan
2022 J jnl
Tenant Placement in Over-subscribed Database-as-a-Service Clusters.
Proc. VLDB Endow.
Arnd Christian König, Yi Shan, Tobias Ziegler, Aarati Kakaraparthy, Willis Lang, Justin Moeller, Ajay Kalhan, Vivek R. Narasayya
2020 J jnl
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.
CoRR
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
2020 J jnl
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation.
Proc. VLDB Endow.
Olga Poppe, Tayo Amuneke, Dalitso Banda, Aritra De, Ari Green, Manon Knoertzer, Ehi Nosakhare, Karthik Rajendran, Deepak Shankargouda, Meina Wang, Alan Au, Carlo Curino, Qun Guo, Alekh Jindal, Ajay Kalhan, Morgan Oslake, Sonia Parchani, Vijay Ramani, Raj Sellappan, Saikat Sen, Sheetal Shrotri, Soundararajan Srinivasan, Ping Xia, Shize Xu, Alicia Yang, Yiwen Zhu
2017 A* conf
Predictive Provisioning: Efficiently Anticipating Usage in Azure SQL Database.
ICDE
Lalitha Viswanathan, Bikash Chandra, Willis Lang, Karthik Ramachandra, Jignesh M. Patel, Ajay Kalhan, David J. DeWitt, Alan Halverson
2016 J jnl
Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud.
Proc. VLDB Endow.
Willis Lang, Karthik Ramachandra, David J. DeWitt, Shize Xu, Qun Guo, Ajay Kalhan, Peter Carlin
2014 J jnl
Towards Multi-Tenant Performance SLOs.
IEEE Trans. Knowl. Data Eng.
Willis Lang, Srinath Shankar, Jignesh M. Patel, Ajay Kalhan
2012 A* conf
Towards Multi-tenant Performance SLOs.
ICDE
Willis Lang, Srinath Shankar, Jignesh M. Patel, Ajay Kalhan
2011 A* conf
Adapting microsoft SQL server for cloud computing.
ICDE
Philip A. Bernstein, Istvan Cseri, Nishant Dani, Nigel Ellis, Ajay Kalhan, Gopal Kakivaya, David B. Lomet, Ramesh Manne, Lev Novik, Tomas Talius
2011 J jnl
SQL Azure as a Self-Managing Database Service: Lessons Learned and Challenges Ahead.
IEEE Data Eng. Bull.
Kunal Mukerjee, Tomas Talius, Ajay Kalhan, Nigel Ellis, Conor Cunningham