Virtualization technology offers powerful resource man- agement mechanisms, including performance-isolating re- source schedulers, live migration, and suspend/resume. But how should networked virtual computing systems use these mechanisms? A grand challenge is to devise practical poli- cies to drive these mechanisms in a self-managing or “au- tonomic” system, without relying on human operators. This paper explores architectural and algorithmic issues for resource management policy and orchestration in Shi- rako, a system for on-demand leasing of shared networked resources in federated clusters. Shirako enables a flexible factoring of resource management functions across the par- ticipants in a federated system, to accommodate a range of models of distributed virtual computing. We present exten- sions to Shirako to provision fine-grained virtual machine “slivers” and drive virtual machine migration. We illustrate the interactions of provisioning and placement/migration policies, and their impact.
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