Abstract: Examples relate to human-readable cloud structures. Some examples disclosed herein may enable identifying cloud definition data describing a cloud to be deployed. The cloud definition data comprises a set of structural attributes that define a structure of the cloud and a set of non-structural attributes. Some examples may enable generating a first human-readable artifact that describes the structure of the cloud in natural language using the set of structural attributes of the cloud definition data, modifying a portion of the cloud definition data, generating a second human-readable artifact describing the structure of the cloud in natural language using the set of structural attributes of the cloud definition data that includes the modified portion, and determining whether the structure of the cloud in the second human-readable artifact is different from the structure of the cloud in the first human-readable artifact by comparing the first human-readable artifact with the second human-readable artifact.

Abstract: Examples relate to cloud models based on network definition data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise network definition data that describes a first server node to be included in the first cloud infrastructure and a first set of network interfaces to be enumerated on a bus of the first server node. Some examples may further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples may further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: In some examples, a system identifies a set of services to provide a set of outputs to be displayed on a first set of displays at a first location to an identified user, where the services are provided by computers located remotely over a network from the first location, and establishes a value for a parameter that controls a custom display of a given output of the set of outputs on a respective set of displays to the identified user based, at least in part, on a stored mapping that persistently relates the set of services, the set of outputs, a second set of displays, and the identified user. The system further adjusts the display of the given output of the set of outputs on the first set of displays, the adjusting being based, at least in part, on the value of the parameter.

Abstract: Included are embodiments for assignment and failover of resources. More specifically, at least one embodiment of a method includes assigning, to a user of an access device (202), at least one primary resource (210, 212). Some embodiments include assigning, to the user of the access device (202), at least one backup resource (210, 212).

Abstract: Systems, methods, and other embodiments associated with persisting information concerning per-user, per-connection display configuration control are described. One example method includes identifying services that provide outputs to be displayed to an identified user on displays available to the identified user. Services are provided by remotely located computers. The example method may also include establishing a display control parameter based on a stored mapping that persistently relates services, outputs, displays, and users. The mapping stores information concerning the parameter as configured by the identified user during a previous session. The example method may also include controlling the display of the output on the display based on the parameter.

Abstract: Examples relate to cloud models based on logical network interface data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise logical network interface data that describes a first set of network interfaces to be bonded to form a first logical network interface for the first cloud infrastructure. Some examples further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: Examples disclosed herein relate to translation of touch input into local input based on a translation profile for an application. Examples include translating touch input into local input based on a translation profile for an application in focus, if the translation profile is accessible. Examples further include providing the touch input to an operating system if no translation profile for the application in focus is accessible and the operating system is able to utilize touch input.

Abstract: Examples relate to cloud models based on network definition data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise network definition data that describes a first server node to be included in the first cloud infrastructure and a first set of network interfaces to be enumerated on a bus of the first server node. Some examples may further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples may further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: Examples relate to cloud models based on logical network interface data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise logical network interface data that describes a first set of network interfaces to be bonded to form a first logical network interface for the first cloud infrastructure. Some examples further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Abstract: Examples relate to cloud models. The examples disclosed herein enable obtaining first cloud definition data that describe a first cloud infrastructure. A first cloud model may be generated based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, cause the first cloud infrastructure to be deployed. The examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud definition data and the first cloud configuration data.

Abstract: An example system can comprise a memory to store machine readable instructions. The system can also comprise a processing unit to execute the machine readable instructions. The machine readable instructions can a server can comprise a codec selector to dynamically partition a video stream into a plurality of partitions based on graphical elements of the video stream, such that a given frame of the video stream is divided into the plurality of partitions. The codec selector can also select a plurality of different codecs to compress the plurality of partitions based on the graphical elements of the video stream.

Abstract: A computing device to receive remote graphics based on a size of a display component from a second computing device, display a user interface to include the remote graphics, detect a user repositioning a region of the user interface, transmit information of the repositioned region to the second computing device and receive remote graphics corresponding to the repositioned region for display on the display component.

Abstract: Embodiments of the present invention are broadly directed to novel systems and methods for evaluating a performance aspect in a multi-computer graphics system. One embodiment comprises selection logic capable of enabling a user to specify at least one render node for selection and generating logic associated with the compositor for generating the composite output signal, the generating logic being capable of eliminating, from at least a portion of the composite output signal, content from the video signals from all render nodes not specified for selection.

Abstract: Automated cloud set up may include collecting compute resources available for setting up a cloud, identifying packages available to apply to the compute resources, and determining which subsets of the packages to apply to which compute resource.

Abstract: Automated cloud set up may include collecting compute resources available for setting up a cloud, identifying packages available to apply to the compute resources, and determining which subsets of the packages to apply to which compute resource.

Abstract: Building a realized topology with a binding document includes generating a binding document based on user input, assigning values to the binding document, and building a realized topology based on the binding document such that a user interface to the realized topology is tied to the binding document and is independent of a cloud.

Abstract: Automated cloud set up may include collecting compute resources available for setting up a cloud, identifying packages available to apply to the compute resources, and determining which subsets of the packages to apply to which compute resource.

Abstract: Examples disclosed herein relate to translation of touch input into local input based on a translation profile for an application. Examples include translating touch input into local input based on a translation profile for an application in focus, if the translation profile is accessible. Examples further include providing the touch input to an operating system if no translation profile for the application in focus is accessible and the operating system is able to utilize touch input.

Abstract: A system is provided for rendering graphics. The system comprises a plurality or render nodes configured to collectively render a graphics image in response to graphics information supplied from a selected host, at least two hosts operatively coupled to the plurality of render nodes, the at least two hosts comprising the selected host, and logic for selectively configuring the plurality of render nodes to render a graphics image based on content supplied by the selected host.

Abstract: In one embodiment a computing system comprises one or more processors, a display device coupled to the computing system, and a memory module communicatively connected to the one or more processors. The memory module comprises logic to receive, in a connection server, a service request from a user via a remote connection client, wherein the service request comprises at least one of a user credential, a connection client identifier, and a layout identifier, authenticate, in the connection server, the user credential and the connection client identifier, retrieve, in the connection server, a user profile associated with the user, a connection client layout associated with the layout identifier, connection data for at least one remote system, and a policy associated with the user profile, and transmit the user profile, the connection client layout, a remote system and the connection data for a remote system and a policy associated with the user profile from the connection server to the remote connection client.