Abstract: Aspects of the present disclosure involve a system architecture for a policy driven disk IO throughput control for a hyper-converged storage provider. The computing architecture provides a flexible and real-time feature to the IO throughput management of a hyper-converged or converged infrastructure. In particular, through the use of centrally applied policy driven controls, the disk IO throughput allocation of different applications/clients of the converged infrastructure is gauged or otherwise controlled over the network bandwidth that link to the storage pool of the infrastructure. Through the use of the system architecture, the converged infrastructure may not utilize hard-coded disk resource allocation for each application/client in an isolated fashion, thereby allowing the IO throughput management to be flexible and agile in response to executed applications. Further, the IP throughput controlling and storage IP capacity of the converged infrastructure may be maintained separately.

Abstract: Aspects of the present disclosure involve a system architecture for a policy driven disk IO throughput control for a hyper-converged storage provider. The computing architecture provides a flexible and real-time feature to the IO throughput management of a hyper-converged or converged infrastructure. In particular, through the use of centrally applied policy driven controls, the disk IO throughput allocation of different applications/clients of the converged infrastructure is gauged or otherwise controlled over the network bandwidth that link to the storage pool of the infrastructure. Through the use of the system architecture, the converged infrastructure may not utilize hard-coded disk resource allocation for each application/client in an isolated fashion, thereby allowing the IO throughput management to be flexible and agile in response to executed applications. Further, the IP throughput controlling and storage IP capacity of the converged infrastructure may be maintained separately.

Abstract: In a virtual computing environment allocating instantiations of computing resources based on a computing metric of a primary application for execution on the instantiated computing resources, an instance manager increases allocated computing resources in response to a performance shortfall. The virtual computing environment executes virtualization instances of computing systems as an autonomous computing entity in a physical environment shared with other virtualization instances. Each virtualization instance has a configuration including a processor type and quantity, memory, and mass storage (i.e. disk) allocation. Further, each virtualization instance has a performance capacity (capacity) based on a performance metric for identifying throughput in terms of a target application that the virtualization instance was designated to support.

Abstract: In a virtual computing environment allocating instantiations of computing resources based on a computing metric of a primary application for execution on the instantiated computing resources, an instance manager increases allocated computing resources in response to a performance shortfall. The virtual computing environment executes virtualization instances of computing systems as an autonomous computing entity in a physical environment shared with other virtualization instances. Each virtualization instance has a configuration including a processor type and quantity, memory, and mass storage (i.e. disk) allocation. Further, each virtualization instance has a performance capacity (capacity) based on a performance metric for identifying throughput in terms of a target application that the virtualization instance was designated to support.