June 19, 2013
HANOVER, Md., June 19 -- Ciena Corporation, the network specialist, today announced that CANARIE, Canada’s Advanced Research and Innovation Network, has deployed Ciena’s 6500 Packet-Optical Platform equipped with third generation WaveLogic Coherent Optical Processors to support the 100G (100 Gigabits per second) upgrade and network expansion of a route connecting Montreal and New York. The new ultra-high-speed network link will sustain the “big data” streams used in today’s advanced academic and scientific research. For example, the 100G link can allow a full two hour HD movie to download in 4/10ths of a second.
Given today’s increasingly data-intensive and global environment, it is vitally important that CANARIE work with cutting-edge equipment, such as that provided by Ciena, to support their bandwidth requirements.
Recent Joint Demonstrations:
CANARIE designs, delivers, and drives the adoption of digital infrastructure for Canada’s research and education communities. CANARIE keeps Canada at the forefront of digital research and innovation, fundamental to a vibrant digital economy.
CANARIE’s roots are in advanced networking, and CANARIE continues to evolve the national ultra-high-speed backbone network that enables data-intensive, leading-edge research and big science across Canada and around the world. One million researchers, scientists and students at over 1,100 Canadian institutions, including universities, colleges, research institutes, hospitals, and government laboratories have access to the CANARIE Network.
CANARIE also leads the development of research software tools that enable researchers to more quickly and easily access research data, tools, and peers. In support of Canada’s high-tech entrepreneurs, CANARIE offers cloud-computing services to help them accelerate product development and gain a competitive edge in the marketplace.
CANARIE, together with twelve provincial and territorial network partners, forms Canada's advanced network alliance. This powerful digital infrastructure connects Canada's researchers and innovators provincially, nationally, and globally to the data, tools, colleagues, and classrooms that are at the heart of prosperity in the digital economy. For more information, please visit: www.canarie.ca.
Ciena is the network specialist. We collaborate with customers worldwide to unlock the strategic potential of their networks and fundamentally change the way they perform and compete. Ciena leverages its deep expertise in packet and optical networking and distributed software automation to deliver solutions in alignment with OPn, its approach for building open next-generation networks. We enable a high-scale, programmable infrastructure that can be controlled and adapted by network-level applications, and provide open interfaces to coordinate computing, storage and network resources in a unified, virtualized environment. Investors are encouraged to review the Investors section of our website at www.ciena.com/investors, where we routinely post press releases, SEC filings, recent news, financial results, other announcements and, from time to time, exclusively post material information as with the other disclosure channels that we use.
Source: Ciena Corporation
10/30/2013 | Cray, DDN, Mellanox, NetApp, ScaleMP, Supermicro, Xyratex | Creating data is easy… the challenge is getting it to the right place to make use of it. This paper discusses fresh solutions that can directly increase I/O efficiency, and the applications of these solutions to current, and new technology infrastructures.
10/01/2013 | IBM | A new trend is developing in the HPC space that is also affecting enterprise computing productivity with the arrival of “ultra-dense” hyper-scale servers.
Ken Claffey, SVP and General Manager at Xyratex, presents ClusterStor at the Vendor Showdown at ISC13 in Leipzig, Germany.
Join HPCwire Editor Nicole Hemsoth and Dr. David Bader from Georgia Tech as they take center stage on opening night at Atlanta's first Big Data Kick Off Week, filmed in front of a live audience. Nicole and David look at the evolution of HPC, today's big data challenges, discuss real world solutions, and reveal their predictions. Exactly what does the future holds for HPC?