December 06, 2004
Progress Telecom, LLC has purchased Etherjack technology from Covaro Networks to expand the availability of its Voice Grade Ethernet services. Progress Telecom will use the Covaro platform to extend its 10G native Ethernet backbone to every point of presence (POP) on the network using existing SONET facilities. Etherjack technology, part of the Covaro Connection family of products, extends the reach to new carrier facilities and enterprise locations using copper, SONET, fiber and EoDS3 transport methods while providing a consistent managed services approach.
"With Covaro's Etherjack technology, we are able to provide intelligent Ethernet services with remote monitoring, provisioning and management that support our commitment to our customers' success," said Greg Tenant, vice president of marketing at Progress Telecom. "The Covaro Connection technology will help us turn our legacy SONET networks into an Etherjack-enabled Ethernet services network that will provide new enhancements for our customers and for ourselves."
"Using technology from the Covaro Connection family of products, Progress Telecom will be able to offer carrier-grade SLAs to wholesale and retail Ethernet customers," stated Covaro vice president of marketing Fred Ellefson. "This capability will make Progress Telecom's Voice Grade Ethernet service very attractive to existing and potential customers."
Covaro will help Progress Telecom extend its Ethernet services reach. With the Etherjack technology in place, Progress Telecom will be able to provision, fault locate and manage Ethernet services remotely in a manner more commonly found in traditional frame relay or private line data offerings.
For advanced services, Etherjack technology includes a service user network interface (UNI) that is based on Metro Ethernet Forum (MEF) guidelines. To handle operations, administration, maintenance and provisioning (OAM&P), Etherjack(R) technology features a network interface device (NID) based on Ethernet-in-the-first-mile (EFM) parameters. The combination of the UNI and the NID enables functionality such as performance monitoring, remote loopback, integrated test pattern generation, real-time cable testing, simplified provisioning, remote upgrades and other traditional OAM&P functions.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.