Huge Data: A Computing, Networking, and Distributed Systems Perspective

April 13 – 14, 2020

Large Scale Networking (LSN) Interagency Working Group Virtual Workshop

 

Logistics

Abstract

On April 13-14, 2020, the Large Scale Networking (LSN) Interagency Working Group (IWG) of the Networking and Information Technology Research and Development (NITRD) Program held its workshop, “Huge Data: A Computing, Networking, and Distributed Systems Perspective.” The purpose of the workshop was to engage members from stakeholder communities to discuss important issues in huge data research, including how to define huge data’s nature and scope, identify the challenges and opportunities it presents, and suggest how to enable and sustain it. Workshop attendees included university and national lab researchers; operators of regional, national, and international research and education (R&E) networks; and Federal agency representatives.

Following K. C. Wang’s Introduction and the Craig Partridge’s Keynote, Huge Data is outgrowing the Internet’s file transfer protocols, workshop presentations and discussions were organized around four topical areas: data generation, data storage, data movement, and data processing and security. (Please note in the workshop report data generation and storage were combined into one section.) Follow-on discussions focused on new areas of huge data research, new types of huge data, cross-disciplinary collaboration, and critical research infrastructure needs.

Organizing Team

  • Zongming Fei, University of Kentucky
  • Jim Griffioen, University of Kentucky
  • Ron Hutchins, University of Virginia
  • Kuang-Ching (KC) Wang, Clemson University

Documents/Publications/References