Autonomic performance and power control in virtualized datacenters
Virtualized datacenters, the platform for supporting Cloud computing, allow diverse applications to share the underlying server resources. Due to the highly dynamic nature of Internet workloads, increasing complexity of applications, and complex dynamics of shared infrastructure, datacenters face significant challenges in managing application performance while maintaining resource utilization efficiency and reducing power consumption costs. This thesis presents middleware approaches to autonomic performance and power control in virtualized datacenters. To this end, we designed self-adaptive ...
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