A Blog of the ZHAW Zurich University of Applied Sciences
In one of our projects, GEYSER, we were looking into a way of packaging customized code for a pilot test. Generally, we developed µservices which communicate with key Openstack components and we have specifically modified Openstack Horizon code by adding a new dashboard. These µservices as well as Openstack Horizon are quite decoupled from the […]
In our previous blog post we described our experience enabling floating ips through modifications to nova python libraries in an Openstack Cells deployment using nova network. That solution was not robust enough and hence we had a go at installing neutron networking, although there is very little documentation specifically addressing Neutron and Cells. Neutron’s configuration […]
In our previous blog post we presented an overview of Nova Cells describing its architecture and how a basic configuration can be set up. After some further investigation it is clear why this is still considered experimental and unstable; some basic operations are not supported as yet e.g. floating ip association as well as inconsistencies […]
In the GEYSER project, we are examining suitable Openstack architectures for our pilot deployments. In an earlier blog post we described different ways to architect an Openstack deployment mostly focusing on AZ (Availability Zone) and Cells (those were the only options available back in 2013). Much has changed since then and new concepts were added […]
[This post was originally published on the GEYSER blog. ICCLab is a partner in GEYSER and is responsible for developing workload migration mechanisms and other activities.] Scheduling workload in the cloud is an important capability which can be used to realize energy savings and it is the focus of some of our activities within the GEYSER project. […]
Ceilometer can collect a large amount of data, particularly in a system with large amount of servers and high activity: in such a scenario, the numbers of meters and samples can be large which affects ceilometer performance and gives rise to quite large databases. In our particular case we are studying energy consumption in servers […]
In our previous blog post we showed a web application to monitor and understand energy consumption in an Openstack cluster; the main goal of this tool is to understand how energy consumption relates to activity on the cloud resources. In general, this can be quite complex as there are many resources to take in account […]
In one of our projects we need to understand the energy consumption of our servers. Our initial work in this direction involved collecting energy consumption data using Kwapi and storing it in Ceilometer for further study. The data stored in Ceilometer is valuable; however, it is insufficient to really understand energy consumption in detail. Consequently, […]
In one of our earlier blog posts, we described some test we performed to determine how server power consumption increases with compute load; this post is something of a variation on that post, but here we put the focus on work taking place within VMs rather than work taking place within the host OS. The […]
In some of our projects we need to understand the energy consumption of our servers in an Openstack cluster. The first step in this process was to collect energy consumption data from our IBM servers; we stored this in Ceilometer for further study. In this blog post we will cover how we do this. First, […]