Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to identify, at an edge network, resource consumption data including a status that indicates whether a service hosted on a cluster of nodes on the edge network is powered on, a type of a resource being consumed by the service, a quantity of the resource being consumed by the service, and a time stamp associated with the resource being consumed by the service and provide, to a remote server in communication with the edge network, the resource consumption data. In some embodiments, the remote server meters resource consumption based on the resource consumption data.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to identify, at an edge network, resource consumption data including a status that indicates whether a service hosted on a cluster of nodes on the edge network is powered on, a type of a resource being consumed by the service, a quantity of the resource being consumed by the service, and a time stamp associated with the resource being consumed by the service and provide, to a remote server in communication with the edge network, the resource consumption data. In some embodiments, the remote server meters resource consumption based on the resource consumption data.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to receive, at a server, from a first cluster of nodes on an edge network in communication with the server, first resource consumption data of a first service hosted on the edge network, calculate a first resource consumption quantity based on the first resource consumption data, receive, from a second cluster of nodes on the edge network, delayed resource consumption data of a second service hosted on the edge network, and calculate a second resource consumption quantity based on the delayed resource consumption data. In some embodiments, the first resource consumption data is collected at a first time and the delayed resource consumption data collected at the first time.

Abstract: Examples described herein include virtualized file servers which may include load balancing. For example, a recommendation engine may estimate a load associated with each of a plurality of file server virtual machines in a cluster. Based on the load, the recommendation engine may recommend changing ownership of one or more volume groups, scaling up the virtualized file server, scaling down the virtualized file server, scaling in the virtualized file server, scaling out the virtualized file server, or combinations thereof.

Abstract: Examples described herein include virtualized file servers which may include load balancing. For example, a recommendation engine may estimate a load associated with each of a plurality of file server virtual machines in a cluster. Based on the load, the recommendation engine may recommend changing ownership of one or more volume groups, scaling up the virtualized file server, scaling down the virtualized file server, scaling in the virtualized file server, scaling out the virtualized file server, or combinations thereof.