Abstract: A method for managing storage for a desktop pool is described. The desktop pool includes a plurality of virtual machines (VMs), each VM having at least one virtual disk represented as a virtual disk image file on one of a plurality of datastores associated with the desktop pool. To identify a target datastore for a VM, a weight of each datastore is calculated. The weight may be a function of a virtual capacity of the datastore and the sum of maximum sizes of all the virtual disk image files on the datastore. The virtual capacity is a product of the data storage capacity of the datastore and an overcommit factor assigned to the datastore. The target datastore is selected as the datastore having the highest weight. The VM may is moved to or created on the target datastore.

Abstract: A method for providing quality of service to a plurality of hosts accessing a common resource is described. The common resource may be a middle-tier or back-end server. A client IO request is received at one host of the plurality of hosts from one of a plurality clients executing as software entities on respective hosts. The host determines whether an issue queue is full. The IO request is issued to the common resource when the issue queue is not full. A current average latency observed at the host and an adjusted window size is calculated, based at least in part on the current average latency. The issue queue is resized to correspond with the adjusted window size.

Abstract: A method and system for providing quality of service to a plurality of hosts accessing a common resource is described. According to one embodiment, a plurality of IO requests is received from clients executing as software entities on one of the hosts. An IO request queue for each client is separately managed, and an issue queue is populated based on contents of the IO request queues. When a host issue queue is not full, a new IO request is entered into the host issue queue and is issued to the common resource. A current average latency observed at the host is calculated, and an adjusted window size is calculated at least in part based on the current average latency. The window size of the issue queue is adjusted according to the calculated window size.

Abstract: Information Technology Risk to an organization is associated with a plurality of virtual machines (VMs) each running on a plurality of hosts, each host being a computer system connected to a network and in communication with a risk orchestrator, which receives threat indication messages (TIMs) from threat indicators. Each TIM indicates a status of a threat to which a hosts is vulnerable. Downtime probability (DTP) resulting from the threat and an overall host DTP for each host are calculated. For each VM, a risk value associated with the VM is calculated as a function of the host DTP for and an impact for the VM, the impact being a value reflecting a relative importance of the VM to the organization. Each VM requiring risk mitigation is identified and prioritized in accordance with a policy, and a configured mitigation control action may be carried out for each VM requiring risk mitigation.

Abstract: A method and system for providing quality of service to a plurality of hosts accessing a common resource is described. According to one embodiment, a plurality of IO requests is received from clients executing as software entities on one of the hosts. An IO request queue for each client is separately managed, and an issue queue is populated based on contents of the IO request queues. When a host issue queue is not full, a new IO request is entered into the host issue queue and is issued to the common resource. A current average latency observed at the host is calculated, and an adjusted window size is calculated at least in part based on the current average latency. The window size of the issue queue is adjusted according to the calculated window size.