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11%
Processor and Memory Metrics
12.02.2014
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B       xsettings-kde   ...    12.3 MiB +   2.2 MiB =  14.6 MiB       gedit  22.9 MiB +   4.0 MiB =  26.9 MiB       plasma-desktop  26.4 MiB +   5.7 MiB =  32.1 MiB       konsole (3)  28.3 MiB +   4.4 MiB =  32.7 MiB       kwin 147
11%
US Army’s Excalibur System Solves 10 Billion Equations in 3 Minutes
18.06.2015
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XC40 before the system is placed into regular service. The Excalibur system comes with 101,184 processors, and the Stanford team had access to 22,00 of them. The team was working on a new scalability
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Linux distributions for containers
13.06.2016
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Lead Image © tiero, 123RF.com
(Listing 4). Listing 4 New Filesystem Tree # rpm-ostree status TIMESTAMP (UTC) VERSION ID OSNAME REFSPEC * 2015-09-30 12:07:07 22 c4421f1bba
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Greylisting with Postgrey
22.06.2012
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1-12:00:00 20 144400 1-16:06:40 21 160000 1-20:26:40 22 176400 2-01:00:00 23 193600 2-05:46:40 24
11%
Understanding the Status of Your Filesystem
18.06.2014
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 mtime age file in days:  0.016  days    Standard deviation mtime age in days:  590.7352  days      *** Mtime interval summary     [   0-   1 days]:    176  (  0.05%)  (  0.05% cumulative)    [   1-   2 days]:      0  (  0.00
11%
networkd and nspawn in systemd
11.04.2016
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Lead Image © Kritiya Sumpun, 123RF.com
? 00:02:39 systemd You can define a container launched in this way as a system service with machinectl start Fedora-Cloud-Base-22-20150521.x86_64 and then log in to the container using
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Systemd network management and container handling
13.06.2016
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Lead Image © Kritiya Sumpun, 123RF.com
, or Docker flavor and then start a container on the basis of that image. Listing 6 shows how to download a Fedora 22 image and start a new container based on it. Listing 6 Download and Start
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Arp Cache Poisoning and Packet Sniffing
05.09.2011
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can see how the arp cache poisoning works: $ sudo nemesis arp -v -r -d eth0 -S 192.168.1.2 \ -D 192.168.1.133 -h 00:22:6E:71:04:BB -m 00:0C:29:B2:78:9E \ -H 00:22:6E:71:04:BB -M 00:0C:29:B2:78:9E
11%
US Army Puts a Supercomputer in a Shipping Container
20.08.2019
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in a shipping container. The $12 million IBM system will include an on-board uninterruptible power supply, chilled water cooling, and a fire suppression system. The system comes with 22 nodes for machine learning
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XSEDE Project Receives Additional Funding
19.08.2020
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The US National Science Foundation has awarded another year of funding to the Extreme Science and Engineering Discovery Project (XSEDE). The $21.8M, 12-month grant will extend operations until

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