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In this informative white paper, uncover a unified visibility fabric architecture that centralizes network monitoring and management tools for improved and simplified performance and security analysis.
WHITE PAPER:
Based on customer demands, one company as developed a new metric designed to give customers a more accurate idea of the power consumed by the processor, thus enabling the customer to more accurately plan for future power budgets.
WHITE PAPER:
This white paper explains how virtualization has removed many of the data center resource constraints of the past. Find out why management of your IT infrastructure should be integrated and learn how to set your business up for private cloud success.
WHITE PAPER:
This white paper shows how IBM eX5 systems allow organizations to combine the full advantages of Intel’s Xeon processors with the latest and most advanced System x features - allowing companies to do more with fewer servers and achieve better system utilization and energy efficiency.
WHITE PAPER:
LINQ is an acronym which stands for Language Integrated Query. This new technology comes built into the .NET Framework 3.5 and can be used with any of the different languages that run under .NET. This paper serves as an introduction.
WHITE PAPER:
Read this white paper for an analysis of early testing for Intel vPro processor technology in IT departments. See real-world examples of how Intel vPro technology improves security due to the hardware based capabilities not possible with software a...
WHITE PAPER:
Learn how SUSE Linux Enterprise Server 10 and Xen virtualization technology enable your data center managers to treat all the hardware and software in the data center as a pool of interchangeable resource components.
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By providing a common architecture for the 100 MS/s mixed-signal prototyping a test suite of instruments, the SMC enables the instruments to test systems where digital and analog signals are side by side.
WHITE PAPER:
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process.