A computing system includes a virtualization server that runs virtual machine sessions and provides a hosted application having user interface (UI) elements. A client computing device receives the UI elements and displays the UI elements as local virtual UI elements, applies user input to one of the local virtual UI elements in focus, generates a local virtual UI element graphics overlay corresponding to a predicted response to the user input and sends the user input to the virtualization server, which generates an updated UI element graphics corresponding to an actual response to the user input. The client computing device replaces at least a portion of the local virtual UI element graphics overlay corresponding to the predicted response with the received updated UI element graphics.

A computing system includes a virtualization server that runs virtual machine sessions and provides a hosted application with user interface (UI) elements having scrollable content. A client computing device accesses the hosted application during one of the virtual machine sessions and receives the scrollable content. The client computing device displays at least a portion of the scrollable content as local virtual UI elements, applies user input to scroll the portion of the scrollable content in focus, caches scrollable content that is positioned adjacent the portion of the scrollable content being scrolled that is not in focus, and generates a local virtual UI element graphics overlay that includes at least a portion of the cached scrollable content for display corresponding to a predicted response to the user input.

A computing system includes a virtualization server that runs virtual machine sessions and provides a hosted application with user interface (UI) elements having an ordered hierarchy of graphical control elements when sequenced therethrough. A client computing device accesses the hosted application and receives the ordered hierarchy of graphical control elements and displays the graphical control elements as local virtual UI elements, applies user input to one of the graphical control elements in focus, generates a local virtual UI element graphics overlay for display corresponding to a predicted response to the user input as a next graphical control element in the ordered hierarchy and sends the user input to the virtualization server.

An example method is provided for recommending VM configurations, including one or more servers upon which one or more VMs can run. A user wishing to run these VMs can request a recommendation for an appropriate server or set of servers. The user can indicate a category corresponding to the type of workload that pertains to the VMs. The system can receive the request and identify a pool of servers available to the user. Using industry specifications and benchmarks, the system can classify the available servers into multiple categories. Within those categories, similar servers can be clustered and then ranked based on their levels of optimization. The sorted results can be displayed to the user, who can select a particular server (or group of servers) and customize the deployment as needed. This process allows a user to identify and select an optimized setup quickly and accurately.

In an example, a device includes a memory and a processor core coupled to the memory via a memory management unit (MMU). The device also includes a system MMU (SMMU) cross-referencing virtual addresses (VAs) with intermediate physical addresses (IPAs) and IPAs with physical addresses (PAs). The device further includes a physical address table (PAT) cross-referencing IPAs with each other and cross-referencing PAs with each other. The device also includes a peripheral virtualization unit (PVU) cross-referencing IPAs with PAs, and a routing circuit coupled to the memory, the SMMU, the PAT, and the PVU. The routing circuit is configured to receive a request comprising an address and an attribute and to route the request through at least one of the SMMU, the PAT, or the PVU based on the address and the attribute.

A system and method for ensuring the availability of virtual desktops in a cloud based system. The system includes a primary regional datacenter having a primary desktop pool accessible by a desktop client providing access to a desktop to a desktop user. A secondary regional datacenter includes a secondary desktop pool. A control plane orchestrates communication between the desktop client and the regional datacenters. The control plane creates a copy of the desktop from the primary regional datacenter. The control plane performs an activation procedure when a disaster event occurs. The activation procedure includes creating the desktop in the secondary desktop pool from the copy. The activation procedure also directs the desktop client to the secondary desktop pool to access the desktop from the secondary regional datacenter. A deactivation procedure directs the desktop client in the secondary desktop pool to reestablish availability to desktops in the primary desktop pool.

Some embodiments provide a novel method for collecting and reporting attributes of data flows associated with machines executing on a plurality of host computers to an analysis appliance and providing visual representations of the data to a user. Some embodiments provide a visual representation of the collected data that allows a user to select a set of machines and flows and initiate recommendation generation based on the selected machines and flows. The recommendation generation, in some embodiments, includes identifying flows for which rules have not been defined and filtering the identified rules to remove flows for which rules should not be defined. Some embodiments use the identified rues to identify services and groups associated with the rules and generate recommendations for rules, groups and services based on the identified flows, groups and services. The recommendations, in some embodiments, are implemented as a single PATCH API.

An example operation may include a method comprising one or more of receiving a VNFC module LCM request where the LCM request specifies a VNFC instance (VNFCI), a target VNFC module, and an LCM operation to be performed, comprising retrieving a VNFCI data entry, determining a target OS installation of the VNFCI, establishing a secure connection to a target OS on a VNFCI hosting VM/container, determining a default command for the LCM operation, adapting the default command to the target OS, executing the adapted command, normalizing a response code, and sending a response to the VNFC module LCM request.

A network interface controller includes processing circuitry configured to pair with a local root of trust of a host device connected to the network interface controller and provide a key to an encryption device of the host device that enables the encryption device to encrypt data of one or more host device applications using the key. The encrypted data are stored in host device memory. The processing circuitry is configured to share the key with a remote endpoint and forward the encrypted data from the host device memory to the remote endpoint.

In one aspect, an example methodology implementing the disclosed techniques includes, by a computing device, determining a number of expected requests that cannot be processed using non-scalable resource instances that are available to process requests and provisioning one or more scalable resource instances based on the number of expected requests that cannot be processed using the non-scalable resource instances that are available to process requests. The provisioning of the one or more scalable resource instances includes executing a startup function configured to consume one or more processors of a started scalable resource instance for a predetermined duration, the started scalable resource instance being available to process a request subsequent to the predetermined duration.