Visit additional Tabor Communication Publications
December 09, 2008
HAYWARD, Calif., Dec. 9 -- Glimmerglass, the leading supplier of intelligent optical switching systems, today announced availability of SNMP trap reporting in all of its photonic switching products. With this announcement, Glimmerglass enables carriers and operators to integrate photonic cross connects with their SNMP-based network management systems.
Operators with SNMP network management systems will now be able to correlate physical-layer optical events from Glimmerglass switches with existing network traps. Improved problem isolation and reduced Mean-Time-To-Repair, intrinsic properties of photonic switch deployments in networks, are now facilitated through SNMP trap reporting in addition to reporting via Glimmerglass' TL1 interface.
In addition to support for individual switches, SNMP functionality has been extended to the Glimmerglass Console multiswitch manager. Glimmerglass Console now provides SNMP 'Listen and Forward' functionality. SNMP 'Listen and Forward' allows SNMP traps from a large number of photonic switches to be routed through the Glimmerglass Console to the desired SNMP Managers.
"As more of our customers install large networks of Glimmerglass Intelligent Optical Switches, it is vitally important to provide tools that facilitate their integration into existing network management systems. This addition of SNMP trap reporting is another example of Glimmerglass leadership," said CEO Bob Lundy.
The SNMP agent feature will be available for new or upgrade orders in Q1 2009.
Glimmerglass provides powerful, flexible dynamic wavelength management solutions. Customers deploy Glimmerglass Intelligent Optical Switches to create, monitor and protect wavelengths in networks supporting land-based and undersea telecommunications systems, datacenters, peering exchanges, government networks, and video networks. Glimmerglass switches provide customers with the industry's lowest-loss, low-profile, non-blocking and fully transparent switching, scalable from 24 to 192 ports. For further information, visit www.glimmerglass.com.
Source: Glimmerglass Networks, Inc.
In quieter times, sounding the bell of funding big science with big systems tends to resonate further than when ears are already burning with sour economic and national security news. For exascale's future, however, the time could be ripe to instill some sense of urgency....
In a recent solicitation, the NSF laid out needs for furthering its scientific and engineering infrastructure with new tools to go beyond top performance, Having already delivered systems like Stampede and Blue Waters, they're turning an eye to solving data-intensive challenges. We spoke with the agency's Irene Qualters and Barry Schneider about..
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).
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 22, 2013 |
At some point in the not-too-distant future, building powerful, miniature computing systems will be considered a hobby for high schoolers, just as robotics or even Lego-building are today. That could be made possible through recent advancements made with the Raspberry Pi computers.
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.
May 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.