Análisis comparativo de un hipervisor nativo propietario y libre como alternativa de solución para el proceso de almacenamiento de datos.

Abstract

This research work aimed to carry out the comparative analysis of the native hypervisors owner and free type, at the same time providing an option for small and medium enterprises knows as PYMES which, many times, are not in the possibility of making large financial investments in a data storage center, because their size and needs do not require greater characteristics in the equipment and service servers. To classify 73 files for the sample, the classification of files proposed by Microsoft was taken into consideration, which classifies them by size into Tiny, Small, Medium, Large, Huge and Giant. The amount of files in each one of the groups were assigned according to the use and need, the sample was calculated with a confidence level of 95% and a level of significance of 5%. The tests that were conducted were based on the FURPS SW evaluation model which is based on indicators based on metrics such as the speed of data processing. From the research, a result of 16.96% was obtained in favor of the VMware hypervisor in virtualized environments, in the time response indicator, the metric obtained was 28.73% in favor of non-virtualized data storage. Regarding the consumption of resources indicator, the metric obtained was 17.14% in favor of the VMware hypervisor in virtualized environments and as a last indicator the efficiency of the metric was the same for the two models because there was no loss of packages , all files were sent and received correctly. According to the results obtained, a difference of 1.34% was perceived between the data storage through the use of a hypervisor in virtualized environments versus the storage of non-virtualized data, resulting in the acceptance of the Hypothesis of the Ho Study that mentions the improvement of the data storage process assisted by SW. With respect to the guide for the implementation of the models proposed in this research was designed in such a way that it can be applied in any scenario under the characteristics and needs similar to the proposed in this research, taking into account that they are models that were evaluated under characteristics of PYMES.