Graphs and Results!

It’s been a busy fortnight. Much has been done, so I’ll get straight down to business.

Hadoop, being java based, was not overly difficult to package into a container and get running. However, proving that it was capable of networking between containers or even hosts looked like too much of a time sink, and so it has only been tested out as a single node. You can find the dockerfile here, and the container itself here.

It was a great shame that Hadoop was not the success I’d hoped for, because I would have liked to have used it for benchmarking. Instead, after much pontification, I decided to go with Stress, which although it doesn’t claim to be able to set specific CPU loads, it at least fulfils the functions it claims it can do. Lookbusy on the other hand is supposed to be able to set CPU loads as a %, but instead only lets you choose how many cores hit 100% usage. With Stress, and through adjusting the amount of calls to malloc()/free(), I was able to simulate different CPU loads, and here’s the box plot that emerged. Each measurement was taken 10 times, and the command used was:
stress -i 250 –vm-bytes 4 -t 25 -d 2 -m [VARIABLE].




I also managed to get some interesting read write speed data, which I present here alongside the best raspberry pi 1 readings we achieved

Command used: ./iozone -e -I -a -s 50M -r 4k -r 512k -r 16M -i 0 -i 1 -R

Raspberry Pi 2 w/ 32 GB Sandisk Extreme micro SD

Random Write 4K : 2.1 MB/s
Random Read 4K: 6.7 MB/s
Random Write 512K: 17.7MB/s
Random Read 512K: 19MB/s
Random Write 16MB: 18.388MB/s
Random Read 16MB: 19.2MB/s

Raspberry Pi w/ 16 GB Sandisk Ultra SD card
Random Write 4K : 1.0MB/s
Random Read 4K: 4.2MB/s
Random Write 512K: 19.8MB/s
Random Read 512K: 21MB/s
Random Write 16MB: 21.2MB/s
Random Read 16MB:22MB/s

As you can see, for larger files the Pi 2 is slightly slower, but we’re not sure why yet. It may well be the larger data capacity of the micro SD cards.

It was then time to stress test our defenceless Pi Cloud. I used SaltStack to send a punishing stress command to all 14 Pis, which they had to maintain for ten minutes. Each rack of seven suffered one failure. A single Pi could grind through this command, but the strain of seven was too much for our measly three amp USB hubs, but we have some new ones due for delivery on Monday. This of course means we’ll have to redesign the towers again, but then the struggle towards perfection is eternal, and sometimes fun. A 3d model of the finished design will be made freely available for replication when we have it. The other fruits of my labour can be found in my docker hub repository, here.


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