Energy Sciences Network (ESnet) is excited to carry lessons forward and possibly extend its Wireless Edge capabilities into the most remote environment.
Public source
Publisher name
Public post
🛜 Bringing ESnet's Wireless Edge to the Arctic 🌲❄️ When we talk about high-performance networking for science, ESnet’s blazing fast fiber-optics backbone may come firs…
Company
Energy Sciences Network (ESnet)
The Energy Sciences Network is a high-performance, unclassified network built to support scientific research.
- Industry
- Computer Networking Products
- Location
- Berkeley, US
- Company size
- 51–200 employees
About Energy Sciences Network (ESnet)
The Energy Sciences Network (ESnet) is the Office of Science’s high-performance network user facility, delivering highly-reliable data transport capabilities optimized for the requirements of large-scale science. In essence, ESnet is the circulatory system that enables the DOE science mission. ESnet is stewarded by the Advanced Scientific Computing Research Program, and managed and operated by the Scientific Networking Division at Lawrence Berkeley National Laboratory. ESnet interconnects the DOE’s national laboratory system, dozens of other DOE sites, and ~200 research and commercial networks around the world—enabling tens of thousands of scientists at DOE laboratories and academic institutions across the country to transfer vast data streams and access remote research resources in real-time. ESnet exists to provide the specialized networking infrastructure and services required by the national laboratories, large science collaborations, and the DOE research community. ESnet provides the high-bandwidth, reliable connections that enable many thousands of the nation’s scientists to collaborate on some of the world's most important scientific challenges including energy, biosciences, materials, and the origins of the universe. ESnet is recognized nationally and internationally as one of the premier networks for the research community. ESnet has a long track record of innovation in network design, performance, and service delivery, highlighted by major contributions that are utilized by other research networks around the world. ESnet’s vision is that scientific progress will be completely unconstrained by the physical location of instruments, people, computational resources, or data. This document provides an overview of the potential of the next generation network, ESnet6, to advance the DOE mission and accelerate the pace of discovery. For current openings: go.lbl.gov/esnet-careers
See moreLatest activity
Latest activity from Energy Sciences Network (ESnet)
3 signals
Research & Knowledge
Energy Sciences Network (ESnet) project lead Andrew Wiedlea joined scientists on a trip to select research sites outside Fairbanks, Alaska for Phase 2 of the Next-Generation Ecosystem Experiments (NGEE) Arctic project.
People
Energy Sciences Network (ESnet) had a star intern Kiara Patrick, now a sophomore studying Computer Science at Laney College, who worked with mentors John Wu and Alex Sim to study the effectiveness of ordinal classification.
Discover more
Similar signals
Similar public activity from other companies.
Products & Services
Berkeley Lab
Berkeley Lab built the Energy Sciences Network (ESnet) high-speed network built for science across 15,000 miles of fiber and advanced wireless networking.
Research & Knowledge
GÉANT
GÉANT's CESNET consortium is developing an infrastructure for the distribution of precise time within the CESNET network using optical networks with around twenty nodes equipped with White Rabbit technology.
Research & Knowledge
Merit Network
Merit Network published insights on how AI is or isn't changing the Internet based on a massive dataset of real-world Internet traffic observed by Merit Network.
Research & Knowledge
Nokia Federal Solutions Inc
Nokia Federal Solutions Inc published a LinkedIn post discussing what's shaping the next generation of data center interconnect for federal data centers.
Research & Knowledge
National Energy Research Scientific Computing Center (NERSC)