Modelos de Disponibilidade para Nuvens Privadas: Rejuvenescimento de Software Habilitado por Agendamento de Migração de VMs

• Matheus de Melo IFSertão
• Paulo Maciel UFPE

DOI: https://doi.org/10.5753/ctd.2015.10008

Abstract

Reliability and availability are some of main barriers to managers migrate their applications to cloud computing environments. In this context, software aging rises as a potential problem, because it affects reliability directly through a gradual degradation which is difficult to detect. This Master Dissertation brings a set of analytical models for availability assessment on private clouds with software rejuvenation enabled by live VM Migration. The main purpose is to present proper schedules of migration in order to maximize system availability. The study was conducted in a way to improve final models. Experiments were conducted on real platforms, their results are used as basis to final models. Among the contributions we can highlight: methodology to availability models validation, approach to conduct software aging and rejuvenation experiments, and a set of analytical models to evaluate availability on private clouds with aspects of software aging and rejuvenation.

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