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个人简介
Subru is a Principal Architect at Microsoft in the GSL team, currently focusing on data science lifecycle automation platforms. Previously at Microsoft, Subru was a Principal Research Engineer working on different aspects of YARN scheduling, specifically scaling it to 50K+ nodes and providing SLA guarantees.
The work is a critical driver for the internal Cosmos BigData clusters having scheduled nearly one trillion tasks that manipulated close to a Zettabyte of production data.
Prior to Microsoft, Subru worked at Yahoo! where he contributed to Oozie's precursor, near real-time stream processing on Hadoop and HBase replication.
He is also a member of the Apache Hadoop PMC where he has been actively contributing since 2007 with emphasis on YARN resource management.
Subru's research interests include large scale distributed systems, Systems-for-ML and ML-for-Systems.
The work is a critical driver for the internal Cosmos BigData clusters having scheduled nearly one trillion tasks that manipulated close to a Zettabyte of production data.
Prior to Microsoft, Subru worked at Yahoo! where he contributed to Oozie's precursor, near real-time stream processing on Hadoop and HBase replication.
He is also a member of the Apache Hadoop PMC where he has been actively contributing since 2007 with emphasis on YARN resource management.
Subru's research interests include large scale distributed systems, Systems-for-ML and ML-for-Systems.
研究兴趣
论文共 24 篇作者统计合作学者相似作者
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Yiwen Zhu,Yuanyuan Tian,Joyce Cahoon,Subru Krishnan,Ankita Agarwal, Rana Alotaibi,Jesús Camacho-Rodriguez, Bibin Chundatt, Andrew Chung,Niharika Dutta,Andrew Fogarty,Anja Gruenheid,
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.217-224, (2023)
引用2浏览0EI引用
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Yunjia Zhang,Avrilia Floratou,Joyce Cahoon,Subru Krishnan, Andreas C. Müller, Dalitso Banda,Fotis Psallidas,Jignesh M. Patel
ICDEpp.1558-1571, (2023)
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EDBTpp.417-423, (2023)
SIGMOD/PODS '23: Companion of the 2023 International Conference on Management of Datapp.123-126, (2023)
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Proceedings of the VLDB Endowmentno. 12 (2022): 3509-3521
ACM SIGMOD Recordno. 2 (2022): 30-37
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