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09.08.2015
to form a page (e.g., 8KB). Several pages then form a block (~2MB).
At this level, the first peculiarity of flash memory already comes to light: Whereas new data can be written to unused pages, subsequent
23%
17.12.2014
are the averages (Avg) for all cores. As you can see, all eight cores are really busy, with some cores hitting 100% on user applications (the FT benchmark). The average across all the cores is 99
23%
05.12.2016
. The next section sets the type and parameters of the tapes or the properties of the backup device. In Listing 1, each volume can hold 100MB of data. In the example, a maximum of 100MB are written to each
23%
11.10.2016
between 64-bit versions for Red Hat Enterprise and Ubuntu. After downloading the 500MB DEB file, install it in the usual way from the Ubuntu Software Center and acknowledge any errors relating
23%
11.04.2016
used a VMware Workstation as the basis of my setup. To understand the process, though, you need a workstation with at least eight cores, 16GB of RAM, and 100GB of hard disk storage space. The host
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06.12.2012
underlying node types including either 2TB or 16TB of compressed customer data per node. One cluster can scale up to 100 nodes, and on-demand pricing starts at just US$ 0.85 per hour for a 2TB data warehouse
23%
30.01.2020
.
Cumulus Linux 4.0 has added a few new supported platforms, such as Edgecore Minipack AS8000 (100G Tomahawk 3), Mellanox SN3700C (100G Spectrum-2), Mellanox SN3700 (200G Spectrum-2), and HPE SN2345M (100G
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01.10.2011
deployed by all accounts.
Benchmarking
The attack tool to which I'm referring is well-intentioned Apache Benchmarking tool ab (http://httpd.apache.org/docs/2.0/programs/ab.html). Apache documentation
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17.06.2011
-host-alive
command_line $USER1$/check_ping -H $HOSTADDRESS$ -w 3000.0,80% -c 5000.0,100% -p
5
}
Listing 4
timeperiods.cfg (Excerpt)
define timeperiod{
timeperiod_name 24x7
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25.03.2021
that will feed your analytics data warehouse (Figure 1). You've set up the edge with 100+ partitions for many of the topics you are consuming (because you had the forethought to expect scale and knew partitions
