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Dynamic characterization and fault detection are carried out in enterprise
servers using nonparametric identification techniques based on sinusoidal
excitation. The introduction of subtle sinusoidal perturbations in computer
load variables or physical variables allows us to obtain a dynamic
input-output characterization in the frequency domain. The input-output
relationship is described in terms of coupling coefficients between a wide
variety of physical and performance variables at different selected
frequencies. This innovative approach in the field of computer science has
been demonstrated in empirical studies to provide valuable dynamic system
characterization information that can be indispensable to datacenter
operations personnel for the function of performance management, capacity
planning, quality-of-service (QoS) assurance, dynamic resource
provisioning, and root cause analyses.
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