Paper Title: Scalable Data Pipeline over Shared NVMe

Paper Abstract: A Real Time Analytics Engine must ingest large, fast data streams, and process them rapidly. The total RAM available for a distributed in-memory database is often the limit to its scalability. A new approach to overcoming the memory capacity barrier is to backup the database nodes with nonvolatile memory shared via NVMe. The idea is to provide large amounts of reasonably fast memory in the form of an NVMe expansion JBOF. The result is scalable, reasonably-priced, and high-performing.

Paper Author: Kais Belgaied, Storage & Servers Division CTO, Sanmina

Author Bio: Kais Belgaied is currently CTO for Sanmina's Storage and Servers division, driving the company's adoption and growth strategy around NVMe. A prolific innovator with over 50 patents, he was previously the architect of the control plane scale-out and the availability of all-flash array clusters at the highly regarded startup Nimble Storage (acquired by HPE). He has also been an architect and team leader at VMware and Sun Microsystems. He is a self-starter with a proven record of successful project delivery in areas such as kernel development, software-defined storage, systems and networking virtualization, network protocols, and OS security and access controls. He has published articles and given or contributed to conference presentations on topics such as cache management, scalability, and hardware offload. He earned an MS and a postgraduate degree in computer science and applied mathematics from the Polytechnique Institute of Grenoble (France), and an MBA from Columbia.