**3.2. Experiment description**

The aim of this experiment is to demonstrate the feasibility of implementing the EOD system in cloud and how its behavior improves after the optimization done by ENTICE over the process4EO node.

The experiment is that of a realistic recording with Deimos-2 satellite in which a real acquisition is ingested into the EOD pilot. Then, the processing of the raw data is carried out with the EOD pilot before and after the optimization process. The results are compared to evaluate the functionality of the optimized system with regard to the nonoptimized system and validate the implementation of the gs4EO modules in cloud.

VMI size, VMI creation time, VMI delivery time and VMI deployment time are the evaluated metrics selected to compare the performance of the system before and after the optimization process.

The following are the evaluated metrics to demonstrate that the functionality of the system remains the same after the optimization: processing time, imagery products size, CPU use per process and memory use per process.

The raw data used in the experiment have 3 MB size, four multispectral bands (R, G, B and NIR) and one panchromatic. The recorded area of the land surface is a rectangle of 8.86 × 16.59 km2 .

The raw data are managed and processed to automatically obtain the following products:


The virtual resources used in the experiment were the following: a virtual machine with 300 GB, a RAM of 10 GB, four CPUs of 32 bits, a shared storage with 99 GB and an additional storage volume with 50 GB. This hardware was used for both experiments (EOD before and after optimization) in order to facilitate comparison.
