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Where the Cloud Touches Down: Simplifying Data Center Infrastructure Management

Thursday, July 25, 2013
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In most data centers, DCIM rests on a shaky foundation of manual record keeping and scattered documentation. OpManager replaces data center documentation with a single repository for data, QRCodes for asset tracking, accurate 3D mapping of asset locations, and a configuration management database (CMDB). In this webcast, sponsored by ManageEngine, you will see how a real-world datacenter mapping stored in racktables gets imported into OpManager, which then provides a 3D visualization of where assets actually are. You'll also see how the QR Code generator helps you make the link between real assets and the monitoring world, and how the layered CMDB provides a single point of view for all your configuration data.

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Thursday, August 8, 2013
11:00 AM PT / 2:00 PM ET

This webinar will help attendees understand the overall concept of SDN and its benefits, describe the different conceptual approaches to SDN, and examine the various technologies, both proprietary and open source, that are emerging. It will also help users decide whether SDN makes sense in their environment, and outline the first steps IT can take for testing SDN technologies.

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Clusters vs Supercomputers

OAK RIDGE, Tenn. Clusters are grabbing plenty of attention, but "approach with caution" is the message from users at the High Performance Computing User Forum at the Oak Ridge National Laboratory this week.

Over recent months, a number of vendors have been touting clusters as a cost-effective technology for high-performance computing. (See IBM's Cluster Bluster, New HP Clusters Simplify HPC, and Sun Intros Bioinformatics Cluster.) Some users have already turned to clusters of standard, low-cost servers as an alterative to traditional supercomputers. (See Sandia Blasts Off Blade Cluster and Luebeck Looks to Clusters.)

But Michael Resch, the director of the high-performance computing center at the University of Stuttgart in Germany, warns users not to be blinded by all the cluster bluster. “There has been a lot of hype, but it’s not justified,” he says.

Whereas clusters might be a good fit for bioinformatics or particle physics applications, Resch says that supercomputers offer much faster processing speeds. Thanks largely to their memory subsystems and interconnects, he maintains, supercomputers are ideal for the likes of fluid dynamics and weather forecasting.

Resch has experience with both clusters and supercomputers. In addition to its supercomputer, which uses 576 vector processors from NEC Corp. (Nasdaq: NIPNY; Tokyo: 6701), the University of Stuttgart also has two clusters in its high-performance computing center. One of these uses 400 Intel Corp. (Nasdaq: INTC) PC processors. The second cluster relies on 256 Advanced Micro Devices (NYSE: AMD) Opteron chips and is used by center client Porsche for crash test modeling.

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