16%
25.03.2021
, ioengine=libaio, iodepth=32
fio-3.12
Starting 1 process
Jobs: 1 (f=1)
test: (groupid=0, jobs=1): err= 0: pid=5956: Sat Jan 9 16:38:53 2021
read: IOPS=256k, BW=998MiB/s (1047MB/s)(2045MiB/2049msec
16%
31.10.2025
immediately notice about this device is its excellent equipment, with USB 3.0 (4x plus 4x USB2.0!), eSATA, and HDMI, optional 10Gb Ethernet (PCI Express slot), and a Sandy Bridge processor. You can retrofit
16%
31.10.2025
System, DUP: total=8.00MB, used=4.00KB
Metadata, DUP: total=1.00GB, used=79.20MB
If Btrfs only has one device available when the filesystem is created, it automatically generates a duplicate
16%
18.07.2013
buffered disk reads: 616 MB in
3.00 seconds = 205.03 MB/sec
$ hdparm -T /dev/sda
/dev/sda:
Timing cached reads: 6292 MB in
2.00 seconds = 3153.09 MB/sec
If this were a spinning disk, you would also
15%
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
15%
04.08.2011
.pm.xenserver.utils.Server;
12
13 public class TestAPI {
14
15 /**
16 * @param args
17 */
18 public static void main(String[] args) throws Exception {
19
20 if (args.length != 3 && args.length != 5)
21
15%
07.10.2014
.snap
s ntestvm1.img 5 8.0 GB 292 MB 2.4 GB 2014-03-01 11:42 982a3a 2 mar.snap
s ntestvm1.img 6 8.0 GB 128 MB 2.6 GB 2014-03-10 19:48 982a3b 2 mar2.snap
ntestvm1.img 0 8.0 GB
15%
12.03.2013
is shown in Listing 1.
Listing 1: Sample nfsiostat Output
Linux 2.6.18-308.16.1.el5.centos.plus (home8) 02/10/2013 _i686_ (1 CPU)
02/10/2013 03:38:48 PM
Filesystem: rMB_nor/s wMB
15%
27.08.2014
record size, (2) sequential read testing with 1MB record size, and (3) random write and read (4KB). In running these tests, I wanted to see what block layer information ioprof revealed.
The system I
15%
17.03.2021
their powerful V100 GPUs. The DGX Station had a 20-core Intel processor, 256GB of memory, three 1.92TB NVMe solid-state drives (SSDs), and four very powerful Tesla V100 GPUs, each with 16 or 32GB. It used
