Скачать или смотреть The impact of data recovery criteria, data backup schedule and data backup prosses on data recovery

A large-scale cloud data center must have a low failure incidence rate and great service dependability and availability. However, due to several issues, such as hardware and software malfunctions that regularly cause task and job failure, large-scale cloud data centers still have high failure
rates. These mistakes can have a substantial impact on cloud service dependability and need a
large resource allocation to recover from failures. Therefore, it is important to have an efficient
management of data recovery to protect organizations data from loss. This paper aims to study
some factors that may improve the management of data recovery by using quantitative research
design as a methodology. The results of hypothesis testing give strong evidence supporting the
positive and significant correlations between the proposed hypotheses and the efficiency of data
management recovery. This study finds that the presence of a data center in an organization demands the development of a solid plan for the most effective usage of a software program to
handle data recovery.