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30.11.2025
SQL. You can just upload your web application and enjoy the ride. Keep in mind that Google imposes limits to this freefest. Their hospitality is limited to 500MB of disk space and traffic volume of 1GB per
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30.11.2025
-based, but you can also find an OpenSolaris JeOS image.
One of the first JeOS offerings came from Ubuntu, based on the Ubuntu Server Edition [7]. It's now included with the server ISO and requires only 380MB
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28.08.2013
). You can specify the number of threads to use and the block size, as in this example,
% pbzip2 -p 8 -b15vk massivetarball.tar
which uses eight threads and a block size of 1500KB (1.5MB).
A second
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12.11.2013
) project. This project’s approach is twofold. Installed on the system to be backed up, the command
sudo /usr/sbin/rear -v mkrescue
creates a rescue system ISO file of about 60MB, including the active
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19.12.2012
has the following specifications:
4 cores at 3.8GHz (turbo to 4.2GHz)
4MB L2 cache
384 Radeon cores
800MHz GPU clock speed
DDR3 1866MHz memory
100W
Putting both the CPU
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19.02.2013
to a 100Mb network, the path through the faster router wins. Where the paths are equivalent, the administrator can manually add a weighting value to the configuration, which is then reflected in the LSA
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30.04.2013
of the memory:
dd if=/dev/fmem of=memory.dd bs=1MB count=512
Another tool for dumping memory is the kernel module crash
, which was developed by Red Hat. Just like fmem
, crash
creates a pseudodevice called
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22.08.2011
machines with a fixed 1GB of RAM, whereas another could allow the user to set up memory of between 1 and 8GB in increments of 512MB.
The Deltacloud API bundles all these different possibilities
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05.09.2011
= kvmVM #specify the name
02 CPU = 1 # How many CPUs required?
03 MEMORY = 512 # RAM in MB
04 OS = [
05 KERNAL = "/boot/vmlinuz-2.6.32-24-generic", # Kernel to use
06
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15.06.2016
many packets or remote procedure calls (RPCs) are created and sent. For example, if you want to transmit 1MB of data using 32KB chunks, the data is sent in quite a few chunks and a correspondingly large