Scientific Networking: Big Data in Moition
Modern science is highly collaborative in nature, due to use of large and expensive devices, such as the Large Halcyon Collider at CERN. Data from such devices need to be shared by researcher teams distributed across the globe. Historically, the wide-area network capacity was the bottleneck, but recent advances allow for much higher bandwidth. This creates new challenges to achieve maximum data throughput. This talk will give an overview of the "Energy Science Network", and will describes the various challenges that face end high-performance networking.
Brian L. Tierney is a Staff Scientist and group leader of the ESnet Advanced Network Technologies Group at Lawrence Berkeley National Laboratory (LBNL), and is PI of ESnet's 100G Network Testbed Project.
His research interests include high-performance networking and network protocols; distributed system performance monitoring and analysis; network tuning issues; and the application of distributed computing to problems in science and engineering. He has been the PI for several DOE research projects in network and Grid monitoring systems for data intensive distributed computing. Mr. Tierney has an M.S. in Computer Science from San Francisco State University, and a B.A. in physics from the University of Iowa. Brian has been at LBNL since 1990.
Eric Pouyoul is a Senior System Engineer in ESnet's Advanced Network Technologies Group at Lawrence Berkeley National Laboratory (LBNL). His interests include all aspects of high performance big data movement, networking, hardware, software and distributed systems. He has been ESnet lead for designing Data Transfer Nodes (DTN) as defined in the Science DMZ architecture as well as ESnet's work in Software Defined Networking (OpenFlow). Mr Pouyoul joined ESnet in 2009 and his 25 years prior experience includes real-time operating system, supercomputing and distributed systems.