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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… Click to show full abstract
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.
Journal Title: IFAC-PapersOnLine
Year Published: 2018
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