Sep 23–26, 2019

Anurag Khandelwal
Assistant Professor, Yale University

Anurag Khandelwal is an assistant professor in the Department of Computer Science at Yale University. Previously, Anurag did a short post-doc at Cornell Tech where he worked with Tom Ristenpart and Rachit Agarwal. He received his PhD from the University of California, Berkeley, at the RISELab, where he was advised by Ion Stoica. Anurag earned his BTech in computer science and engineering from the Indian Institute of Technology, Kharagpur. His research interests span distributed systems, networking, and algorithms. In particular, his research focuses on addressing core challenges in distributed systems through novel algorithm and data structure design. During his PhD, Anurag built large-scale data-intensive systems such as Succinct and Confluo, that led to deployments in several production clusters.

Sessions

9:00am–12:30pm Tuesday, September 24, 2019

Location: 1E 09

Serverless streaming architectures and algorithms for the enterprise

Data Engineering and Architecture, Streaming and IoT

Secondary topics: Cloud Platforms and SaaS, Data, Analytics, and AI Architecture, Streaming and IoT, Temporal data and time-series analytics

Arun Kejariwal (Independent), Karthik Ramasamy (Streamlio), Anurag Khandelwal (Yale University)

Arun Kejariwal, Karthik Ramasamy, and Anurag Khandelwal walk you through the landscape of streaming systems and examine the inception and growth of the serverless paradigm. You'll take a deep dive into Apache Pulsar, which provides native serverless support in the form of Pulsar functions and get a bird’s-eye view of the application domains where you can leverage Pulsar functions. Read more.