Performability evaluation of server virtualized systems under bursty workload

Abstract This paper proposes a performability analysis based on stochastic reward nets (SRNs) of an energy-efficient server virtualized system (SVS) model handling data-intensive applications and implementing a workload-aware power management (PM) mechanism. The SVS model accounts for workload-aware dependent software aging, unplanned failures and Migrate-VM rejuvenation. We show through numerical analysis of perfomability metrics how workload burstiness and software aging impact SVS behavior in terms of availability and performance.