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Linux Journal Contents #175, November 2008

Nov 01, 2008  By Staff

Linux Journal Issue #175/November 2008

There aren't many numbers that put the US national debt to shame, but here's one: 1,100,000,000,000,000. What's that? That's how many floating-point operations per second the Roadrunner supercomputer at Las Alamos can perform. That's about 100 FLOPS per dollar of US debt (unfortunately, the debt is winning the second derivative race). Read the article about Roadrunner in this month's High Performance Computing issue of LJ. Along with that, find out how to program the Cell processor and how to use CUDA with your NVIDIA GPU. Also in this issue: Mr HandS (aka Kyle Rankin) gives us a few tips on using Compiz, Chef Marcel shows you how to get blogging off your plate quicker, Mick Bauer talks about Samba security, Dan Sawyer interviews Cory Doctrow and Doc talks about how information technology can affect democracy and fix the national debt (just kidding about that last part). That and more for your reading pleasure in this month's Linux Journal.

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Fabric-Based Computing Enables Optimized Hyperscale Data Centers

Today’s modular x86 servers are compute-centric, designed as a least common denominator to support a wide range of IT workloads. Those generic, virtualized IT workloads have much different resource optimization requirements than hyperscale and cloud applications. They have resulted in a “one size fits all” enterprise IT architecture that is not optimized for a specific set of IT workloads, and especially not emerging hyperscale workloads, such as web applications, big data, and object storage. In this report, you will learn how shifting the focus from traditional compute-centric IT architectures to an innovative disaggregated fabric-based architecture can optimize and scale your data center.

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Red Hat White Paper: Using an Open Source Framework to Catch the Bad Guy

Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6

Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.

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