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个人简介
Sudipto is an engineering and research leader known for his work on scalable database management systems for cloud platforms. His expertise spans the broad areas of distributed query processing, efficient resource management for cloud database infrastructures, automated tuning (in particular automated indexing) of relational database-as-a-service, performance isolation, and scale-out transaction processing systems leveraging modern hardware paradigms.
Prior to AWS, Sudipto was a Senior Researcher the Data Management, Exploration, and Mining (DMX) group at Microsoft Research (MSR). At MSR, his research has shaped several key features and business offerings in Microsoft’s Azure SQL Database platform. His work in the SQLVM project formed the basis of CPU performance isolation capabilities, which was exposed as the new Service Tiers and Performance Levels, made generally available in September 2014 for Azure SQL Database, and new resource governance functionality in SQL Server 2016. His work also significantly improved efficiency of Azure DB’s infrastructure with new node-local and cluster-wide resource management mechanisms and policies. He also led the project on automated indexing which significantly enhanced the ability to automatically recommend a variety of index structures (shipped with Database Tuning Advisor along with SQL Server 2017) and significant enhancements to index recommendations in the Auto-indexing offering in Azure SQL Database.
Prior to AWS, Sudipto was a Senior Researcher the Data Management, Exploration, and Mining (DMX) group at Microsoft Research (MSR). At MSR, his research has shaped several key features and business offerings in Microsoft’s Azure SQL Database platform. His work in the SQLVM project formed the basis of CPU performance isolation capabilities, which was exposed as the new Service Tiers and Performance Levels, made generally available in September 2014 for Azure SQL Database, and new resource governance functionality in SQL Server 2016. His work also significantly improved efficiency of Azure DB’s infrastructure with new node-local and cluster-wide resource management mechanisms and policies. He also led the project on automated indexing which significantly enhanced the ability to automatically recommend a variety of index structures (shipped with Database Tuning Advisor along with SQL Server 2017) and significant enhancements to index recommendations in the Auto-indexing offering in Azure SQL Database.
研究兴趣
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Pankaj Arora,Surajit Chaudhuri,Sudipto Das, Junfeng Dong, Cyril George,Ajay Kalhan,Arnd Christian Konig,Willis Lang, Changsong Li,Feng Li, Jiaqi Liu, Lukas M. Maas,
PROCEEDINGS OF THE VLDB ENDOWMENTno. 13 (2023): 4202-4215
Das Sudipto,Narasayya Vivek R,Xu Gaoxiang,Chaudhuri Surajit, Jovanovic Andrija,Radulovic Miodrag,S Das,VR Narasayya
user-5f8cf9244c775ec6fa691c99(2020)
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user-5f8cf9244c775ec6fa691c99(2020)
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Proceedings of the 2019 International Conference on Management of Data (2019)
user-5f8cf9244c775ec6fa691c99(2019)
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