54%
12.09.2013
25x177mm
Weight:
1.2kg
1.44kg
1.3kg
1.12kg
0.455kg
Operating system
RangeeLinux
IGEL Linux
eLux RL
Windows Embedded
54%
21.08.2012
Listing 4: Installing ganglia-metad into the Master Node
[root@test1 RPMS]# yum install ganglia-gmetad-3.4.0-1.el6.i686.rpm
Loaded plugins: fastestmirror, refresh-packagekit, security
Loading
54%
17.02.2015
://developer.nvidia.com/jetson-tk1
Odroid-XU3
Android 4.4, Linux
Samsung Exynos5422
Quad ARM Cortex-A15 @2.0GHz (32KB/32KB/2MB), Quad ARM Cortex-A7 @1.4GHz (32KB/32KB/512KB)
Mali-T628 MP6
54%
02.08.2021
with a different size (Listing 3). The output from the second command verifies that the RAM drives were created.
Listing 3
Adding RAM Drive of 32MB
$ sudo rapiddisk -a 32
rapiddisk 7.2.0
Copyright
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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
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21.08.2012
| 951 B 00:00
Setting up Install Process
Resolving Dependencies
--> Running transaction check
---> Package gkrellm-daemon.x86_64 0:2.3.5-3.el6 will be installed
--> Processing Dependency: libsensors
53%
21.08.2012
in the VNFS by appending the following lines to the file:
update-hz 3
port 19150
allow-host 10.1.0.250
fs-interval 2
nfs-interval 16
inet-interval 0
Then, on the master node (i.e., IP address 10.1.0
53%
12.05.2021
C R [0]
8,80 0 3 2.005078936 4695 D R 144 [sg_inq]
What will this look like when you send more I/O? You can use the dd
utility to send 1MB of all-zero data to the drive:
$ sudo
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02.08.2021
x37 Cache (seagate) [c_se]
0x38
0x3e Factory (seagate) [f_se]
As you can see, you can observe data for write, read, and drive temperature errors, and more. To specify
53%
11.05.2021
.000099
0.660764
0.000107
0.613567
64
0.000099
5.286114
0.000145
3.616815
0.000153
3.435974
0.000206
2.545166
128
0
