A Blog of the ZHAW Zurich University of Applied Sciences
Previously we described how to set up post-copy live migration in OpenStack Icehouse (and it should not be a problem to set it up in the same way in Juno). Naturally, we were curious to see how it performs. In this blog post we focus on performance analysis of post-copy live migration in Openstack Icehouse […]
We have shed blood, sweat and tears trying to get post-copy live migration working in OpenStack over the last month: this blogpost explains all the necessary steps to make it work and hopefully it will save future post-copy pioneers some pain. In our previous blog post we focused on setting it up in QEMU. This […]
ICCLab had the privilege to talk about our latest research activities in “Rating, Charging & Billing” & “Performance analysis of live migrations in OpenStack” at the #vBrownBag Tech talks which were held as part of OpenStack summit in Paris. Here we provide a short summary of each talk and include the captured video for your viewing […]
CERN Openstack (super) User Story CERN is looking for answers to the fundamental questions concerning creation of the Universe and true to its nature, its a a big data challenge. With the historical run of LHC in 2013, their archive now contains ~100PB (with additional 27PB/year) at ~11 000 servers with ~75000 disk drives and ~45 000 […]
In our previous work we presented the performance of live migration in Openstack Icehouse using various types of VM flavors, its memory load and also examined how it performs in network and CPU loaded environment (see our previous posts –performance of live migration, performance of block live migration, performance of both under varying cpu and […]
Previously, we analyzed the performance of virtual machine (VM) live migration in different scenarios under Openstack Icehouse. Until now, all our experiments were performed on essentially unloaded servers – clearly, this means that the results are not so widely applicable. Here, we analyze how the addition of load to the physical hosts and the network […]
We continue our recent work regarding an analysis of the performance of live migration in Openstack Icehouse. Our previous results focused on block live migration in Openstack, without shared storage configured between computing nodes. In this post we focus on the performance of live migration in the system with a shared file system configured, compare […]
Since our servers have been set up for live migration with Openstack Icehouse, we wondered how live migration would perform. We measured the duration of the migration process, VM downtime duration and the amount of data transfered via the ethernet during a live migration. All tests were performed across 5 different VM flavors to examine the impact […]
[Update 8.12.2014] Since OpenStack’s Juno release hasn’t introduced any changes regarding live migration, Juno users should be able to follow this tutorial as well as the Icehouse users. If you experience any issues let us know. The same setup can be used for newer versions of QEMU and Libvirt as well. Currently we are using QEMU 2.1.5 […]
The release of Icehouse brought a few enhancements that were of particular interest in our work – notably Ceilometer/Telemetry developments both in terms of data models as well as performance and improved support for live VM migration. As we had a positive experience with installing Openstack using Mirantis Openstack 4.x (based on Fuel 4.x), we thought […]