Abstract: A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Abstract: A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Abstract: A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Abstract: A method and system for data compression of images using a shared dictionary are described herein. According to one embodiment, a server identifies a current images that is part of a stream of images generated by an application hosted by the server. The stream of images includes images previously transmitted to the client. For each segment of pixels in the current image, the server searches a dictionary containing data for the stream of images. If the dictionary includes data corresponding to the segment of pixels in the current image, the server determines metadata for the segment of pixels in the current image using the corresponding data from the dictionary, and transmits the metadata to the client without transmitting the segment of pixels from the current image.

Abstract: Method and apparatus for improving compression efficiency of for graphics remoting are described herein. According to one embodiment, for each data object of a stream generated within a virtual machine, the data object including graphics data representing an image to be rendered at a client over a network, it is determined whether an image associated with each data object is related to a real life content or an artificial content based on a similarity of one or more pixels selected within at least a segment of the image. A compression method is selected based on the determination of whether the image is related to a real life content or an artificial content. The image is compressed using the selected compression method and thereafter, the compressed image is streamed to the client over the network to be rendered at the client. Other methods and apparatuses are also described.

Abstract: A first computing device maps a virtual network address for a virtual resource that is accessible to the first computing device to an address of a designated resource that is inaccessible to the first computing device but accessible to a remote second computing device. The first computing device generates a control message that, when acted upon by the second computing device, causes the second computing device to transmit the resource message to the designated resource. The first computing device then attaches the resource message to the control message. The first computing device sends the control message to the second computing device, wherein the second computing device acts on the control message to send the resource message to the designated resource without having a resource driver for the designated resource installed on the second computing device.

Abstract: A method and system for data compression of images using a shared dictionary are described herein. According to one embodiment, a server identifies a current images that is part of a stream of images generated by an application hosted by the server. The stream of images includes images previously transmitted to the client. For each segment of pixels in the current image, the server searches a dictionary containing data for the stream of images. If the dictionary includes data corresponding to the segment of pixels in the current image, the server determines metadata for the segment of pixels in the current image using the corresponding data from the dictionary, and transmits the metadata to the client without transmitting the segment of pixels from the current image.

Abstract: A method and system for data compression of images using a shared dictionary are described herein. According to one embodiment, a server identifies a current images that is part of a stream of images generated by an application hosted by the server. The stream of images includes images previously transmitted to the client. For each segment of pixels in the current image, the server searches a dictionary containing data for the stream of images. If the dictionary includes data corresponding to the segment of pixels in the current image, the server determines metadata for the segment of pixels in the current image using the corresponding data from the dictionary, and transmits the metadata to the client without transmitting the segment of pixels from the current image.

Abstract: A first computing device maps a virtual network address for a virtual resource that is accessible to the first computing device to an address of a designated resource that is inaccessible to the first computing device but accessible to a remote second computing device. The first computing device generates a control message that, when acted upon by the second computing device, causes the second computing device to transmit the resource message to the designated resource. The first computing device then attaches the resource message to the control message. The first computing device sends the control message to the second computing device, wherein the second computing device acts on the control message to send the resource message to the designated resource without having a resource driver for the designated resource installed on the second computing device.

Abstract: A method and system for data compression of images using a shared dictionary are described herein. According to one embodiment, a server identifies a current images that is part of a stream of images generated by an application hosted by the server. The stream of images includes images previously transmitted to the client. For each segment of pixels in the current image, the server searches a dictionary containing data for the stream of images. If the dictionary includes data corresponding to the segment of pixels in the current image, the server determines metadata for the segment of pixels in the current image using the corresponding data from the dictionary, and transmits the metadata to the client without transmitting the segment of pixels from the current image.

Abstract: Method and apparatus for improving compression efficiency of for graphics remoting are described herein. According to one embodiment, for each data object of a stream generated within a virtual machine, the data object including graphics data representing an image to be rendered at a client over a network, it is determined whether an image associated with each data object is related to a real life content or an artificial content based on a similarity of one or more pixels selected within at least a segment of the image. A compression method is selected based on the determination of whether the image is related to a real life content or an artificial content. The image is compressed using the selected compression method and thereafter, the compressed image is streamed to the client over the network to be rendered at the client. Other methods and apparatuses are also described.