Implementation Performance enhancements of Geodata processing using a Hybrid Cloud Section 2
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Copyright © 2014 Open Geospatial Consortium.
Figure 9 - Hybrid cloud implementation architecture source [3]
For the hypervisor in the Private Cloud we are using the Kernel-based Virtual Machine KVM. We are using KVM images running an Ubuntu guest operating system. For the
Public Cloud we are using Amazon EC2 resources, which offer pre-configured image types for Amazon Machine Image AMI. These two image types are stored in the VM
Repository.
The Cloud Manager is available as Open Source at 52°North. The Cloud Manager can be configured using a set of parameters described in Table 3 below.
Copyright © 2014 Open Geospatial Consortium.
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Table 3 - Cloud Manager parameters source [2]
With these parameters the scalability and efficiency of the system can be adapted to the particular geo-processing requirements. It is also possible to limit the financial expenses
by specifying a maximum number of pay-per-use Public Cloud VM instances.
The images are preconfigured with WPS instances. A view of the Cloud Dashboard client application used to perform coordinate transformations is shown in Figure 10.
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Copyright © 2014 Open Geospatial Consortium.
Figure 10 - Cloud Dashboard used for coordinate transformations