Abstract: The disclosure herein describes a client-side system that enhances user experience on a remoting client without consuming additional network bandwidth. During operation, the system receives a sequence of frame updates for a display screen, and determines a sequence of frames corresponding to the frame updates. The system further adaptively applies one or more image enhancing techniques to the sequence of frames based on available network bandwidth, frame refresh rate, or image quality. The image enhancement techniques include predicting a frame based on previously received frames, interpolating a frame based on at least two buffered frames, and reducing appearance of artifacts in a received frame, thereby reducing visual artifacts.

Abstract: In one embodiment, a server system receives, from a client device configured to remotely access a desktop hosted by the server system, user input directed to the desktop. The server system further identifies a desktop operation to be performed in response to the user input, where the identifying is performed without relying on preconfigured information that indicates what the desktop operation should be, determines when the desktop operation has completed, and adds, upon completion of the desktop operation, one or more markers to the desktop. The server system then transmits an image of the desktop that includes the one or more markers to the client device, thereby signaling the completion of the desktop operation to the client device.

Abstract: Image data representing a desktop image for a client device that is accessing the desktop remotely is compressed according to a method that preserves image fidelity in selected non-text regions. The method, which is carried out in a remote server, includes the steps of generating image data for the remote desktop image and analyzing different regions of the remote desktop image, identifying those regions of the remote desktop image that are text regions, selecting non-text regions of the remote desktop image for lossless compression based on a spatial relationship between the non-text regions and the text regions, compressing the image data using a lossless compression protocol for a portion of the image data corresponding to the selected non-text regions, and transmitting the compressed image data to the client device.

Abstract: Systems and methods described herein facilitate determining desktop readiness using interactive measures. A host is in communication with a server and the host includes a virtual desktop and a virtual desktop agent. The virtual desktop agent is configured to perform one or more injecting events via one or more monitoring agents, wherein each of the injecting events is a simulated input device event. The desktop agent is further configured to receive, via a display module, a response to the injecting event(s), wherein the response is a display update causing pixel color values for the display module to alter. The desktop agent is also configured to identify, via the monitoring agent(s), whether the response to the injecting event(s) is an expected response. The desktop agent is also configured to determine, via the monitoring agent(s), a readiness of the virtual desktop based on the expected response.

Abstract: In one embodiment, a method displays images from a remote desktop of a desktop GUI on a client device. The method receives a plurality of image blocks for a frame update of an image of the desktop GUI being displayed on the client device. The remote desktop is being run on a host. The client device determines that one or more missing image blocks have not been received for the frame update and determines if the frame update should be performed without the one or more missing image blocks. If the frame update of the desktop GUI should be performed without the one or more missing image blocks, the client device performs the frame update of the desktop GUI using the plurality of image blocks without using the one or more missing image blocks.

Abstract: A method for measuring performance of virtual desktop services offered by a server including a processor is described. A first encoded watermark is embedded into user interface display generated by a virtual desktop when initiating an operation. The first encoded watermark includes pixels identifying the operation and indicating its initiation. A second encoded watermark is embedded into the user interface upon completion of the operation indicating completion of the operation. An action performance time is then computed and stored in a memory. Multiple performance times may be compiled from multiple operations of multiple virtual desktops to assess the performance of the system as a whole.

Abstract: Methods, systems, and computer programs for measuring performance of remote video delivery are presented. The method embeds at a server computer a marker in selected frames of a video stream. The marker includes a preconfigured sequence of pixels and is followed by a frame number encoded in the pixel data. The method then finds a first marker at a client computer to determine the location of the markers in a display. Once the location of the markers is determined, markers in following frames are detected with their corresponding frame numbers. The method stores the arrival times and frame numbers for each detected marker. The stored arrival times and frame numbers can be used for statistical performance analysis of remote video delivery.

Abstract: Methods, systems, and computer programs for measuring performance of remote video delivery are presented. The method embeds at a server computer a marker in selected frames of a video stream. The marker includes a preconfigured sequence of pixels and is followed by a frame number encoded in the pixel data. The method then finds a first marker at a client computer to determine the location of the markers in a display. Once the location of the markers is determined, markers in following frames are detected with their corresponding frame numbers. The method stores the arrival times and frame numbers for each detected marker. The stored arrival times and frame numbers can be used for statistical performance analysis of remote video delivery.