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31%
When I/O Workloads Don’t Perform
12.05.2021
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  30.85  72.31   13.16   20.40   0.26    70.44    83.89   1.97   3.52 nvme0n1         58.80   12.22  17720.47     48.71   230.91     0.01  79.70   0.08    0.42    0.03   0.00
29%
Rethinking RAID (on Linux)
16.03.2021
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=libaio, iodepth=32 fio-3.12 Starting 1 process Jobs: 1 (f=1): [w(1)][100.0%][w=1420KiB/s][w=355 IOPS][eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=3377: Sat Jan  9 15:31:04 2021   write: IOPS=352, BW=1410Ki
29%
The practical benefits of network namespaces
15.08.2016
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Lead Image © Morganimation, fotolia.com
link 1: lo: mtu 65536 qdisc noop state DOWN group default link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 The set command adds a device that already exists in a host system
29%
Listing 4
21.08.2012
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                                              | 119 kB     00:00 (6/19): glib2-2.22.5-6.el6.i686.rpm                                              | 1.1 MB     00:00 (7/19): libX11-1.3-2.el6.i686.rpm
29%
Monitoring Performance with sar
05.03.2014
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:15:01        all      2.08      0.00      0.96      0.02      0.00     96.94 12:25:01        all      1.96      0.00      0.82      0.06      0.00     97.16 12:35:01 PM     all      1.22      0.00      0.73      0.00      0.00
29%
Collecting and evaluating performance data over a period of time
20.03.2014
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Lead Image © Sergey Nivens, 123RF.com
all 1.22 0.00 0.73 0.00 0.00 98.05 12:45:01 PM all 1.32 0.00 0.72 0.01 0.00 97.95 12:55:01 PM all 1.79 0.00 0.75 0
28%
Rethinking RAID (on Linux)
25.03.2021
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Lead Image © nikkikii, 123RF.com
0[0] 2094080 blocks super 1.2 [2/2] [UU] ** unused devices: The initialization time should be relatively quick here. Also, verify the RAID1 mirror details (Listing 13) and rerun the random
28%
Profiling Python code
30.01.2020
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Lead Image ©-Yong Hian Lim, Fotolia.com
| %|Source code ------+----------+-------------+-------------+-------+----------- 1| 0| 0| 0| 0.00%|# md test code 2| 0| 0| 0| 0.00
28%
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
28%
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

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