Badrish Chandramouli

My main ongoing research projects include:

• Trill (opens in new tab): Since early 2012 when he started the Trill project with colleagues, Badrish has been working on building Trill as a .NET based high-performance incremental analytics engine. Trill is a library with a new architecture that provides best-of-breed or better performance across a diverse range of analytics styles and latency needs. As described in this blog post (opens in new tab) from MSR, Trill is widely used within Microsoft, for example, in the Bing advertising platform (opens in new tab) and as part of the public-facing Azure Stream Analytics (opens in new tab) service.
• FASTER (opens in new tab): FASTER is a new key-value store for point operations, that combines a highly cache-optimized concurrent hash index with a novel self-tuning data organization. It extends the standard key-value store interface to handle read-modify-writes and blind update operations. FASTER achieves orders-of-magnitude better throughput – up to 160M operations per second on a single machine – than alternative systems deployed widely today, and exceeds the performance of pure in-memory data structures when the working set fits in memory.

In the context of these projects, Badrish has worked on diverse research areas such as progressive analytics, sorting, pattern detection, query processing, concurrent multi-core data structures, storage and indexing, and distributed systems.