As a grad student at Purdue CS, I work with Prof. Ananth Grama on improving the applicability and performance of MapReduce. Earler, I did my Bachelors in Computer Science and Masters in Mathematics at BITS, Pilani.
E-mail: kkambatl at cs.purdue.edu
TransMR: Data-Centric Programming Beyond Data Parallelism
[PDF]
3rd Workshop on Hot Topics in Cloud Computing
[HotCloud '11]
Asynchronous Algorithms in MapReduce
[PAPER]
[SLIDES]
IEEE International Conference on Cluster Computing 2010
[CLUSTER '10]
Revisiting I/O Middleware for the Cloud
[PDF]
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8th USENIX Conference on File and Storage
Technologies [FAST '10]
Towards Optimizing Hadoop Provisioning for the Cloud
[PDF]
1st Workshop on Hot Topics in Cloud Computing
[HotCloud '09]
Efficient Large-Scale Graph Analysis in MapReduce
[PDF]
Purdue University Technical Report CSD TR #11-003
Clusterken: A Reliable Object-Based Messaging Framework to Support Data Center Processing
[PDF]
HP Labs Technical Report, HPL-2011-44
Transactional Support in MapReduce for Speculative Parallelism
[PDF]
Purdue University Technical Report CSD TR #10-001
Relaxed Synchronization and Eager Scheduling in MapReduce
[PDF]
Purdue University Technical Report CSD TR #09-010