NDN-TR70 -- Utilizing NDN-DPDK for Kubernetes Genomics Data Lake

TL;DR

This paper presents a scalable genomics Data Lake architecture using Named Data Networking (NDN) combined with Kubernetes and DPDK, enabling efficient data distribution for genomics research.

Contribution

It introduces a novel integration of NDN, Kubernetes, and DPDK to create a flexible, scalable genomics Data Lake in the cloud.

Findings

Demonstrated efficient data distribution with NDN-DPDK

Provided detailed deployment instructions for the Data Lake

Outlined future enhancements for scalability and performance

Abstract

As the growth of genomics samples rapidly expands due to increased access to high resolution DNA sequencing technology, the need for a scalable platform to aggregate dispersed datasets enable easy access to the vast wealth of DNA sequences available is paramount. In this work, we introduce and demonstrate a novel way to use Named Data Networking (NDN) in conjunction with a Kubernetes cluster to design a flexible and scalable genomics Data Lake in the cloud. In addition, the use of the NDN Data Plane Development Kit (DPDK) provides an efficient and accessible distribution of the datasets to researchers anywhere. This report will explain the need to deploy a Data Lake for genomics data, what is necessary to deploy successfully, and detailed instructions to replicate the proposed design. Finally, this technical report outlines future enhancement options for further improvements.