16%
21.01.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
16%
11.02.2016
amount of available RAM: 117,080MB in this case.
Mem used
: Amount of RAM used by the applications: 48,810MB in this case.
Mem free
: Potentially free RAM: 68,270MB in this case.
Mem cached
: RAM
16%
25.03.2021
a tiny bit to 1.2MBps (Listing 6), random reads increased to almost double the throughput with a rate of 3.3MBps (Listing 7).
Listing 6
Random Write to RAID
$ sudo fio --bs=4k --ioengine
16%
03.02.2022
,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
17,49
18,50
19,51
20,52
21,53
22,54
23,55
24,56
25,57
26,58
27,59
28,60
29,61
30,62
31,63
The lstopo tool
15%
14.08.2017
:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K -rw-r--r-- 1 laytonjb laytonjb 261K 2014-06-09 20:31 FS_scan.csv.gz
The original file is 3.2MB, but after using gzip with the -9
15%
12.05.2021
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
15%
02.08.2021
%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
15%
04.08.2011
the biggest rentable cloud today: the Amazon Web Service. Based on this extremely mature technology, Citrix launched Version 5.6 of its XenServer product family in May 2010. XenServer, the product built around ... Version 5.6 of Citrix XenServer is a feature-stripped version of the virtualization product and is available free, in addition to the commercial Advanced, Enterprise, and Platinum editions.
15%
31.10.2025
is fixed at 64KB and probably will not be changeable in the foreseeable future. Kernel 3.6 is expected to introduce the long-anticipated profiles for RAID 5 and RAID 6.
Chunks
To check the checksums
15%
05.11.2018
nodes, and make sure to do this as a user and not as root.
3. To make life easier, use shared storage between the controller and the compute nodes.
4. Make sure the UIDs and GIDs are consistent