Abstract: Continuity-based data protection may be implemented by systems and methods described herein for collecting a set of data that corresponds to a graphical representation of a computing environment, determining a plurality of subsets of the set of data, wherein a subset of the plurality has mathematical continuity, compressing at least the subset of the plurality, thereby generating one or more compressed subsets, and providing the one or more compressed subset to another computing entity, the other computing entity being able to determine the graphical representation of the computing environment, wherein the graphical representation is presentable to a user of the other computing entity.

Abstract: Application data may be transmitted while oscillating a transmission parameter. A metric associated with a complementary network property is analyzed to identify a transition point between a stochastic error state and a deterministic error state of the complementary network property. Additional network properties or states may be inferred from the transition point, and the transmission of the application data may be optimized based on the inferred additional properties or states.

Abstract: Data is transmitted in accordance with a parameter. For a metric associated with transmission of the data, a response to a stochastic error state of the metric includes making a first adjustment to the parameter in a first direction. A response to a deterministic error state of the metric includes making a second adjustment to the parameter in a second direction, where the second direction is in opposition to the first direction. A transition point between the two states is identified, and a response to the identification is made.

Abstract: Techniques for oscillatory complementary network property calibration of a network connection can be implemented by measuring a first network property (e.g., latency or bandwidth output) as a function of bandwidth input and performing statistical analysis to determine a correlation. If a non-zero correlation coefficient is detected, a second network property complementary to the first network property can be measured to determine a first value of the second network property. Likewise, the second network property can be measured as a function of bandwidth input to determine a second correlation which, if positive, may indicate how to determine a second value of the first network property. The first value and the second value can be utilized to determine a third value of a third network property (e.g., network latency and network capacity utilized to determine bandwidth-delay product).

Abstract: Systems and methods for dynamic representation of a remote computing environment which can be implemented in the context of a virtual desktop infrastructure. A server hosting a computing environment may communicate system state to a remote client via a network. A representation of the computing environment may be generated by obtaining graphical data of a virtual computing environment, sub sampling the graphical data to determine a plurality of regions, determining a manner to prioritize the plurality of regions, and causing, based on the prioritization, an approximate representation of the graphical data to be transmitted to a second system.

Abstract: Data is transmitted in accordance with a parameter. For a metric associated with transmission of the data, a response to a stochastic error state of the metric includes making a first adjustment to the parameter in a first direction. A response to a deterministic error state of the metric includes making a second adjustment to the parameter in a second direction, where the second direction is in opposition to the first direction. A transition point between the two states is identified, and a response to the identification is made.

Abstract: Application data may be transmitted while oscillating a transmission parameter. A metric associated with a complementary network property is analyzed to identify a transition point between a stochastic error state and a deterministic error state of the complementary network property. Additional network properties or states may be inferred from the transition point, and the transmission of the application data may be optimized based on the inferred additional properties or states.

Abstract: Techniques for oscillatory complementary network property calibration of a network connection can be implemented by measuring a first network property (e.g., latency or bandwidth output) as a function of bandwidth input and performing statistical analysis to determine a correlation. If a non-zero correlation coefficient is detected, a second network property complementary to the first network property can be measured to determine a first value of the second network property. Likewise, the second network property can be measured as a function of bandwidth input to determine a second correlation which, if positive, may indicate how to determine a second value of the first network property. The first value and the second value can be utilized to determine a third value of a third network property (e.g., network latency and network capacity utilized to determine bandwidth-delay product).

Abstract: Methods for providing layered gear mechanism to enable optimal transmission of data packets includes identifying types of data that are scheduled for transmission over a network. Data packets are generated at different depths for a particular type of data identified for transmission, wherein the data packets are generated at a source. The data packets of different depths are transmitted in different layers over a network, to a destination, wherein each layer of data packets corresponds to a specific depth. Response for the data packets transmitted in each layer is collected from the network as the data packets progress along the network. The response is analyzed to identify network transmission characteristics for each layer. A depth is selected for transmitting subsequent data packets for the particular data type based on the network transmission characteristics obtained through the analysis.

Abstract: Systems and algorithm for providing a service to a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a virtualization layer with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to access framebuffer data of a specific virtual machine that includes the service to be controlled, process the framebuffer data to generate image data packets with contextual information by scanning the framebuffer data to discern the image of the virtual machine display, evaluate the framebuffer data to identify contiguous areas of activity, extract data related to the contiguous areas of activity and package the extracted data into image data packets. The image data packets are transmitted to the client for presenting on a display device of the client.

Abstract: Systems and algorithm for providing a service to a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a virtualization layer with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to access framebuffer data of a specific virtual machine that includes the service to be controlled, process the framebuffer data to generate image data packets with contextual information by scanning the framebuffer data to discern the image of the virtual machine display, evaluate the framebuffer data to identify contiguous areas of activity, extract data related to the contiguous areas of activity and package the extracted data into image data packets. The image data packets are transmitted to the client for presenting on a display device of the client.

Abstract: Systems and algorithm for providing a service to a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a virtualization layer with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to access framebuffer data of a specific virtual machine that includes the service to be controlled, process the framebuffer data to generate image data packets with contextual information by scanning the framebuffer data to discern the image of the virtual machine display, obtaining connection parameters and client characteristics of a connection to the client, analyzing the framebuffer data to balance performance of the connection and performance of the specific virtual machine, and selecting a compression technique for processing the framebuffer data to generate image data packets. The image data packets are transmitted to the client for presenting on a display device.

Abstract: Systems and algorithm for providing a service to a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a virtualization layer with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to access framebuffer data of a specific virtual machine that includes the service to be controlled, process the framebuffer data to generate image data packets with contextual information by scanning the framebuffer data to discern the image of the virtual machine display, evaluate the framebuffer data to identify contiguous areas of activity, extract data related to the contiguous areas of activity and package the extracted data into image data packets. The image data packets are transmitted to the client for presenting on a display device of the client.

Abstract: Methods for providing layered gear mechanism to enable optimal transmission of data packets includes identifying types of data that are scheduled for transmission over a network. Data packets are generated at different depths for a particular type of data identified for transmission, wherein the data packets are generated at a source. The data packets of different depths are transmitted in different layers over a network, to a destination, wherein each layer of data packets corresponds to a specific depth. Response for the data packets transmitted in each layer is collected from the network as the data packets progress along the network. The response is analyzed to identify network transmission characteristics for each layer. A depth is selected for transmitting subsequent data packets for the particular data type based on the network transmission characteristics obtained through the analysis.

Abstract: Methods and apparatus for providing layered gear mechanism to analyze network loss and latency conditions includes bundling data into data packets of varying depths, at a source with data packets of each depth belonging to a particular data type. The data packets of varying depths are transmitted in layers over a network, to a destination. Information for the transmitted data packets for each layer is collected constantly and analyzed as the data progresses along the network to identify corresponding network transmission characteristics. The transmission of subsequent data packets for anyone of the layers is adjusted based on the network transmission characteristics. The adjusting is repeated one or more times based on the analyzed information for the transmitted data packets. The transition metrics for each layer is utilized for relative analysis of transmission metrics across the layers to set the adjusting.

Abstract: Methods for controlling a virtualized computer service remotely through a client includes receiving a connection request from the client for controlling the virtual service available at a virtual machine. The request includes a plurality of connection parameters that describe the connection requirements of the client and is received at a virtual machine that is equipped with an image processor algorithm. The connection parameters are interrogated using the image processor algorithm to identify a specific virtual machine that provides the requested virtualized computer service. A framebuffer data for the identified virtual machine located in virtual memory is accessed and read directly through a hypervisor. The framebuffer data is processed into a plurality of image data packets using the image processor algorithm and transmitted to the client for presenting on a display device associated with the client.

Abstract: Systems and algorithm for providing a service to a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a virtualization layer with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to access framebuffer data of a specific virtual machine that includes the service to be controlled, process the framebuffer data to generate image data packets with contextual information by scanning the framebuffer data to discern the image of the virtual machine display, obtaining connection parameters and client characteristics of a connection to the client, analyzing the framebuffer data to balance performance of the connection and performance of the specific virtual machine, and selecting a compression technique for processing the framebuffer data to generate image data packets. The image data packets are transmitted to the client for presenting on a display device.

Abstract: Systems and algorithm for providing a service to a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a virtualization layer with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to access framebuffer data of a specific virtual machine that includes the service to be controlled, process the framebuffer data to generate image data packets with contextual information by scanning the framebuffer data to discern the image of the virtual machine display, evaluate the framebuffer data to identify contiguous areas of activity, extract data related to the contiguous areas of activity and package the extracted data into image data packets. The image data packets are transmitted to the client for presenting on a display device of the client.

Abstract: Systems and algorithm for controlling a virtualized computer service remotely through a client includes defining a virtual infrastructure in which a plurality of virtual machines are running on a hypervisor with at least one of the virtual machine executing an image processor algorithm. The image processor algorithm is configured to receive a connection request from the client for controlling the virtualized computer service (or simply, virtual service) available at a specific virtual machine. The request includes a plurality of connection parameters that describe the connection requirements of the client and is received at the virtual machine that is equipped with the image processor algorithm. The connection parameters are interrogated using the image processor algorithm to identify a specific virtual machine that provides the requested virtualized computer service. A framebuffer data for the identified virtual machine located in virtual memory is accessed and read directly through a hypervisor.

Abstract: Methods and apparatus for providing layered gear mechanism to analyze network loss and latency conditions includes bundling data into data packets of varying depths, at a source with data packets of each depth belonging to a particular data type. The data packets of varying depths are transmitted in layers over a network, to a destination. Information for the transmitted data packets for each layer is collected constantly and analyzed as the data progresses along the network to identify corresponding network transmission characteristics. The transmission of subsequent data packets for anyone of the layers is adjusted based on the network transmission characteristics. The adjusting is repeated one or more times based on the analyzed information for the transmitted data packets. The transition metrics for each layer is utilized for relative analysis of transmission metrics across the layers to set the adjusting.