Bibliographic citations
Begazo, J., (2021). Diseño de un clúster de alta disponibilidad inter-site con el software PowerHA SystemMirror para servicios de misión crítica basados en arquitectura IBM Power Systems [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/655926
Begazo, J., Diseño de un clúster de alta disponibilidad inter-site con el software PowerHA SystemMirror para servicios de misión crítica basados en arquitectura IBM Power Systems [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2021. http://hdl.handle.net/10757/655926
@misc{renati/395517,
title = "Diseño de un clúster de alta disponibilidad inter-site con el software PowerHA SystemMirror para servicios de misión crítica basados en arquitectura IBM Power Systems",
author = "Begazo Isla, Jorge Luis",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2021"
}
During the last years, technology has become the fundamental pillar of business growth and a need for companies to have mission-critical services in robust system architectures that provide a high level of availability; and that they have an automated protection mechanism against events that compromise the continuity of services. The unavailability of systems causes economic losses in the companies. For this reason, the project presents the design of an inter-site high availability cluster on servers with AIX operating system and the IBM PowerHA SystemMirror cluster software for mission-critical services based on the IBM Power System architecture. This will serve as a guide for the design of this type of automated cluster solutions, whose main objective is to reduce the time of unavailability before an event that compromises the availability of services. A scenario has been defined in an organization that has mission critical services. Unavailability events that have caused economic losses in the company have been reviewed. Due to the excessive time in which the services were recovered. Finally, a set of high availability tests has been done on an automated PowerHA SystemMirror cluster, using a laboratory environment and simulating the unavailability of services. Optimal service recovery times have been achieved. It has been reduced up to 95% of the initial time, without having a PowerHA SystemMirror cluster.
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