Group-Based Memory Deduplication for Virtualized Clouds

In virtualized clouds, machine memory is known as a resource that primarily limits consolidation level due to the expensive cost of hardware extension and power consumption. To address this limitation, various memory deduplication techniques have been proposed to increase available machine memory by eliminating memory redundancy. Existing memory deduplication techniques, however, lack isolation support, which is a crucial factor of cloud quality of service and trustworthiness. This paper presents a group-based memory deduplication scheme that ensures isolation between customer groups colocated in a physical machine. In addition to isolation support, our scheme enables per-group customization of memory deduplication according to each group’s memory demand and workload characteristic.