I manage the Systems group in Cloud and Information Services Lab at Microsoft. My group focuses on systems infrastructure aspects in the "Big data" space. Efforts range from rapid prototyping, to build production quality systems, releasing code to open source, and publishing papers in top Systems conferences. We work closely with Microsoft's Big Data teams.
On a personal side, I am broadly interested in building storage and compute infrastructure for datacenter settings. I enjoy building and deploying systems in practice as well as releasing software I build as open source projects. In building these systems, my work leverages upon technology trends in datacenter computing.
My recent work has been in the area of resource management for Big data clusters:
- Mercury (Hybrid Centralized/Distributed Scheduling; also, see YARN-2877)
- Rayon (Rayon ships as part of Apache Hadoop 2.6; see YARN-1051)
- Tetris (Packing of tasks to improve cluster efficiency)
We use Apache Hadoop/YARN as the substrate on top of which we build/release code.
Some of the previous systems I have built and released as open source projects are:
- Kosmos distributed filesystem: I have designed/implemented/deployed (KFS) to manage PB's of storage.
- Sailfish: I have also designed/implemented Sailfish, a compute infrastructure which improves handling of intermediate data (i.e., "shuffle" phase in a Map-Reduce computation). Our results show that Sailfish can improve job completion times at scale by 20% to 5x.
At CISL, I am working on building Hadoop related services on Windows Azure. I also collaborate extensively with colleagues in MSR-Redmond.
A full list of my publications is here.
- Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Fumarola, Solom Heddaya, Raghu Ramakrishnan, and Sarvesh Sakalanaga, Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters , in USENIX Annual Technical Conference (USENIX ATC'2015), USENIX – Advanced Computing Systems Association, July 2015.
- Konstantinos Karanasos, Sriram Rao, Carlo Curino, Chris Douglas, Kishore Chaliparambil, Giovanni Fumarola, Solom Heddaya, Raghu Ramakrishnan, and Sarvesh Sakalanaga, Mercury: Hybrid Centralized and Distributed Scheduling in Large Shared Clusters , no. MSR-TR-2015-6, February 2015.
- Carlo Curino, Djellel E. Difallah, Chris Douglas, Subru Krishnan, Raghu Ramakrishnan, and Sriram Rao, Reservation-based Scheduling: If You’re Late Don’t Blame Us!, in SoCC'14, ACM – Association for Computing Machinery, November 2014.
- Robert Grandl, Ganesh Ananthanarayanan, Srikanth Kandula, Sriram Rao, and Aditya Akella, Multi-resource Packing for Cluster Schedulers, ACM SIGCOMM, August 2014.
- Mahesh Balakrishnan, Dahlia Malkhi, Ted Wobber, Ming Wu, Vijayan Prabhakaran, Micheal Wei, John D. Davis, Sriram Rao, Tao Zou, and Aviad Zuck, Tango: Distributed Data Structures over a Shared Log, in SOSP, November 2013.
- ccurino, , , , , and sriramra, Reservation-based Scheduling: If You’re Late Don’t Blame Us!, no. MSR-TR-2013-108, October 2013.
- Silvius Rus, Micheal Ovsiannikov, Damian Reeves, Paul Sutter, Sriram Rao, Jim Kelly, Chris Zimmerman, Dan Adkins, and Thilee Subramaniam, The Quantcast File System, in 39th International Conference on Very Large Data Bases (VLDB'13), August 2013.
- Sriram Rao, Benjamin Reed, and Adam Silberstein, HotROD: Managing Grid Storage With On-Demand Replication, Workshop on Data Management in the Cloud (DMC'13), April 2013.
- Ganesh Ananthanarayanan, Christopher Douglas, Raghu Ramakrishnan, Sriram Rao, and Ion Stoica, True Elasticity in Multi-Tenant Clusters through Amoeba, in ACM Symposium on Cloud Computing, October 2012.
- Sriram Rao, Raghu Ramakrishnan, Adam Silberstein, Mike Ovsiannikov, and Damian Reeves, Sailfish: A Framework For Large Scale Data Processing, in ACM Symposium on Cloud Computing, October 2012.
- Jianjun Chen, Chris Douglas, Michi Mutsuzaki, Patrick Quaid, Raghu Ramakrishnan, Sriram Rao, and Russell Sears, Walnut: a unified cloud object store, in SIGMOD Conference, May 2012.