g i r f t y

CENIC Staff to Present at the Cybersecurity Research Acceleration Workshop at TechEX

Tags: securityscience dmzprppacific wavenational science foundationinternet2cybersecurityciscocalren

Two CENIC staff members will present at the Internet2 Technology Exchange (TechEx) in San Francisco on October 18, 2017, as a part of the advanced networking track. They will discuss two of CENIC’s most important collaborations: The Pacific Research Platform (PRP) and Pacific Wave.

The Pacific Research Platform: Challenges and Successes

This presentation by John Hess will focus on the Pacific Research Platform (PRP), a NSF-funded, regional project to meet the needs of researchers in California, the Western US, and beyond. Created in 2015, PRP is working to accelerate discovery by improving end-to-end high-speed data transfer, data placement and storage, and computing capabilities in collaborative, big-data science, and by orchestrating direct engagements between campus technical engineers and multi-campus science teams to inform and drive network requirements. The PRP’s scope covers a broad range of data-intensive research, with its initial scope including projects from five scientific domains: particle physics, astronomy and astrophysics, biomedical sciences, earth sciences, and computer science and engineering (visualization, virtual reality, and machine learning). PRP is a partnership of more than 20 institutions, including four national supercomputer centers.  

This TechEx session will focus on the technical challenges and successes of the PRP during its first two years of operation, and explore emerging near-term and longer-term PRP capabilities. The presentation will focus on strategies used to engage scientists and technology leaders, and present case studies from its five initial scientific domains. PRPv2 is in development, incorporating heightened security, IPv6, SDN/SDX, and additional cooperating research groups. PRP collaborators are considering the possibility of scaling from a regional network to national and international models, and are actively seeking new partners.  

John Hess is a network engineer at CENIC, where he works on Pacific Wave, Pacific Research Platform, and the GLIF working group exploring AutoGOLE/NSI, along with other collaborative efforts. Among his interests are interconnection, network performance, and data movement. John joined CENIC in 2010.

Pacific Wave: Building a Software Defined Networking Exchange (SDX)

The Pacific Wave Exchange is a collaboration between CENIC and the Pacific Northwest Gigapop. In 2016, CENIC received a five-year IRNC grant from the National Science Foundation for Pacific Wave expansion supporting SDX and experimentation. Specifically, the grant proposed to develop and implement a parallel set of facilities (waves, circuits, and switches) and supporting infrastructure to enable participants whose networks support SDN functionality to peer with each other independent of the Pacific Wave point(s) of presence to which they are connected. In addition, the grant calls for Pacific Wave to expand the functionality and capabilities of the exchange to enhance end-to-end multi-domain “Science DMZ” capabilities to support the emerging requirements of the international research and education community.

This session, presented by CENIC Senior Network Engineer Will Black, will cover the technical challenges and successes of Pacific Wave staff in deploying:

  • AutoGOLE/NSI in the Pacific Wave distributed exchange point architecture
  • 100 Gbps perfSONAR nodes within Pacific Wave
  • Dynamically allocatable 10 Gbps perfSONAR nodes using AutoGOLE/NSI
  • FIONA Data Transfer Node (DTN) as a resource attached to the Exchange Point for use by Pacific Wave participants
  • A parallel SDX environment in Pacific Wave

Will Black has worked in the technology field for over 17 years, and is working on projects that include SDN and automation. He also performs network architecture functions to ensure the CalREN network meets the needs of its diverse user population.

This workshop is funded by the National Science Foundation Cybersecurity Transition to Practice Acceleration program.