Abstract: Described herein are systems, methods, and software to manage the assignment of virtual machines to non-uniform memory access (NUMA) nodes of a computing environment. In one implementation, a management service identifies one or more virtual machines in a computing environment with potential NUMA resource issues. The management service further selects a virtual machine from the one or more virtual machines and determines whether a NUMA node associated with the virtual machine satisfies criteria to migrate at least one virtual machine from the NUMA node. If the criteria are satisfied, the management service migrates at least one virtual machine from the NUMA node to a second NUMA node.

Abstract: A power optimization system may include a cloud management server coupled to a plurality of clusters via a network, a resource management module residing in the cloud management server, and a cloud power optimizer module residing in the resource management module. Each cluster may include a plurality of physical hosts with at least one virtual machine (VM) running on each physical host. During operation, the cloud power optimizer module may determine background and active power usages of each physical host in the plurality of clusters. Further, the cloud power optimizer module may determine power usage of each VM based on the determined background and active power usages of each physical host. Furthermore, the cloud power optimizer module may continuously balance a distribution of workload on the plurality of physical hosts based on the determined power usage of each VM.