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29%
Listing 5
21.08.2012
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-14.el6_3.x86_64.rpm                                | 2.2 MB     00:01 (3/4): php-common-5.3.3-14.el6_3.x86_64.rpm                             | 522 kB     00:00 (4/4): php-gd-5.3.3-14.el6_3.x86_64.rpm
28%
When I/O workloads don't perform
02.08.2021
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Lead Image © Viacheslav Iakobchuk, 123RF.com
%util sda 10.91 6.97 768.20 584.64 4.87 18.20 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
27%
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   301.34     3
27%
The practical benefits of network namespaces
15.08.2016
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Lead Image © Morganimation, fotolia.com
1500 qdisc noop state DOWN mode DEFAULT group default qlen 1000 link/ether 52:54:00:02:e3:f1 brd ff:ff:ff:ff:ff:ff $ ip link 1: lo: mtu 65536 qdisc noqueue state UNKNOWN mode
26%
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
25%
Listing 1
21.08.2012
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==================================================================== Install       2 Package(s) Total download size: 106 k Installed size: 187 k Downloading Packages: (1/2): gkrellm-daemon-2.3.5-3.el6.x86_64.rpm      |  69 kB     00:00 (2/2): lm_sensors-libs-3.1.1-10.el6.x
25%
Rethinking RAID (on Linux)
25.03.2021
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Lead Image © nikkikii, 123RF.com
=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
22%
Graph database Neo4j discovers fake reviews on Amazon
04.08.2020
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Image by Gerd Altmann from Pixabay
five-star reviews that look very similar. The problem is so evident on Amazon that customers rub their eyes in amazement wondering why the online giant doesn't intervene. Graph databases can help
22%
mpi4py – high-performance distributed Python
30.11.2020
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Lead Image © liu liming, 123RF.com
): 11 12 s = 0.0 13 s += h * f(a) 14 for i in range(1, n): 15 s += 2.0 * h * f(a + i*h) 16 # end for 17 s += h * f(b) 18 return (s/2.) 19 # end def 20 21 22 # Main section 23 comm = MPI
22%
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

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