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USENIX NSDI '11

March 30, 2011 - April 1, 2011
Boston, MA
USA
http://www.usenix.org/nsdi11/lj

Join us in Boston, MA, March 30-April 1, 2011, for USENIX NSDI '11.

NSDI '11 brings together leading researchers to explore the design principles of large-scale networked and distributed systems. This year's technical program includes 27 technical papers with topics including data-intensive computing, energy and storage, debugging and correctness, and more. NSDI '11 will also feature a poster session showcasing early research in progress. Take advantage of this opportunity to meet with premier researchers in the computer networking, distributed systems, and operating systems communities.

Register by March 7 and save! Additional discounts are available!
http://www.usenix.org/nsdi11/lj

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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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Sponsored by AMD

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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.

Learn more about catching the bad guy in this free white paper.

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Sponsored by DLT Solutions