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I received my PhD in September 2010. I now work at IBM Research.

My PhD thesis focussed on scalable deduplication methods. I worked in the SSRC group in the Deduplication project. My advisor was Prof. Darrell Long.

Publications

1. Kave Eshghi, Mark Lillibridge, Deepavali Bhagwat and Mark Watkins, Improving Multi-Node Deduplication Performance for Interleaved Data via Sticky-Auction Routing, HP Labs Technical Report (HPL-2015077)

2. Deepavali Bhagwat, Chethan Kumar and Satyam Vaghani, Efficient Replication for Distributed Fault Tolerant Memory, In Proceedings of the 8th ACM International Systems and Storage Conference (SYSTOR '15), Haifa, Israel

3. Deepavali Bhagwat, Mahesh Patil, Michal Ostrowski, Murali Vilayannur, Woon Jung and Chethan Kumar, A Practical Implementation of Clustered Fault Tolerant Write Acceleration in a Virtualized Environment, In Proceedings of the 13th USENIX Conference on File and Storage Technologies (FAST) 2015, Santa Clara, CA

4. Mark Lillibridge, Kave Eshghi and Deepavali Bhagwat, Improving Restore Speed for Backup Systems that Use Inline Chunk-Based Deduplication, In Proceedings of the 11th USENIX Conference on File and Storage Technologies (FAST) 2013, San Jose, CA

5. Deepavali Bhagwat, Kave Eshghi, Darrell D. E. Long, and Mark Lillibridge, Extreme Binning: Scalable, Parallel Deduplication for Chunk-based File Backup, In Proceedings of the 17th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2009, London (pdf)

6. Mark Lillibridge, Kave Eshghi, Deepavali Bhagwat, Vinay Deolalikar, Greg Trezise, and Peter Campbell, Sparse Indexing, Large Scale, Inline Deduplication Using Sampling and Locality, In Proceedings of the Seventh USENIX Conference on File and Storage Technologies (FAST) 2009, San Francisco, CA (pdf)

7. Deepavali Bhagwat, Kave Eshghi, and Pankaj Mehra, Content-based Document Routing and Index Partitioning for Scalable Similarity-based Searches in a Large Corpus, In Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2007, San Jose, CA (pdf)

8. Deepavali Bhagwat, Kristal Pollack, Darrell D. E. Long, Thomas Schwarz S.J., Ethan L. Miller, and Jehan-François Pâris, Providing High Reliability in a Minimum Redundancy Archival System, In Proceedings of the 14th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS) 2006, Monterey, CA (pdf)

9. Deepavali Bhagwat and Neoklis Polyzotis, Searching a File System using Inferred Semantic Links , ACM Hypertext 2005, Salzburg, Austria.(pdf)

10. Deepavali Bhagwat, Laura Chiticariu, Gaurav Vijayvargiya and Wang-Chiew Tan, An Annotation Management System for Relational Databases, VLDB Journal Special Issue (Best papers of 2004). (pdf)

11. Deepavali Bhagwat, Laura Chiticariu, Gaurav Vijayvargiya and Wang-Chiew Tan, An Annotation Management System for Relational Databases, International Conference on Very Large Databases (VLDB) 2004, Toronto, Canada. (pdf)