article · 2013
Controllers Intel ® Network Builders Intel ® Xeon ® Processor-based Servers Packet Processing on Cloud Platforms Audience and Purpose
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Abstract
Cloud based network services typically have high-performance packet processing requirements. This reference architecture documents data and learnings from configuring and testing a virtualized packet processing environment using Linux * with a Next Generation Communications Platform from Intel, codename Crystal Forest. The primary audiences for this reference architecture (RA) are architects and engineers evaluating Intel ® architecture based solutions for cloud based network services where packet processing performance is a key requirement. The RA provides details for setting up, configuring, and testing a virtualized packet processing environment using Linux * on a Next Generation Communications Platform from Intel with the codename Crystal Forest. The system tested was a dual Intel ® Xeon® ATCA reference platform with Intel ® Xeon ® processor E5-2600 series and the Intel® 82599 10 Gigabit Ethernet Controllers (formerly Niantic). Performance information applies to the target platform; however the test methodology and optimization learnings are more generally applicable to packet handling solutions
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(2013). Controllers Intel ® Network Builders Intel ® Xeon ® Processor-based Servers Packet Processing on Cloud Platforms Audience and Purpose.
“Controllers Intel ® Network Builders Intel ® Xeon ® Processor-based Servers Packet Processing on Cloud Platforms Audience and Purpose.” 2013.
2013. “Controllers Intel ® Network Builders Intel ® Xeon ® Processor-based Servers Packet Processing on Cloud Platforms Audience and Purpose.”
(2013) ‘Controllers Intel ® Network Builders Intel ® Xeon ® Processor-based Servers Packet Processing on Cloud Platforms Audience and Purpose’.
@article{anon2013controllers,
title = {{Controllers Intel ® Network Builders Intel ® Xeon ® Processor-based Servers Packet Processing on Cloud Platforms Audience and Purpose}},
year = {2013}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.