(Instituto Federal de Educação, Ciência e Tecnologia Farroupilha, 2020) Vivian, Gláucio Ricardo; Fiorin, André
The predominant computational paradigm in data storage and processing is cloud computing. This in turn demands high availability and faulttolerant computing resources. Among the numerous options for existing software, DRBD appears as an efficient solution for this purpose in the Linux operating
system. The objective of this work is to improve the functioning of DRBD when used in the cloud in a dynamic scenario such as the Internet, where variations in bandwidth and latency occur. In the end, a decrease in errors and replication time was observed when using a link with high latency (800ms).
