Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Supun Kamburugamuve

Supun Kamburugamuve
Graduate Student and Senior Software Architect, Indiana University

Website

Supun Kamburugamuve is a graduate student at Indiana University and a senior software architect at the Digital Science Center of Indiana University, where he researches big data applications and frameworks. He’s working on high-performance enhancements to big data systems with HPC interconnect such as InfiniBand and Omni-Path. Supun is an elected member of Apache Software Foundation and has contributed to many open source projects including Apache Web Services projects. Previously, Supun worked on middleware systems and was a key member of a WSO2 enterprise service bus (ESB), an open source enterprise integration product widely used by enterprises. He has a PhD in computer science, specializing in high-performance data analytics at Indiana University.

Sessions

5:25pm6:05pm Wednesday, September 27, 2017
Secondary topics:  Financial services, Media, Streaming
Karthik Ramasamy (Streamlio), Supun Kamburugamuve (Indiana University)
Modern enterprises are data driven and want to move at light speed. To achieve real-time performance, financial applications use streaming infrastructures for low latency and high throughput. Twitter Heron is an open source streaming engine with low latency around 14 ms. Karthik Ramasamy and Supun Kamburugamuvee explain how they ported Heron to Infiniband to achieve latencies as low as 7 ms. Read more.