Abstract: A system is proposed for delivering video content to display devices using a cloud computing model. A plurality of independent physical computer systems cooperate to implement a virtual computer system (“cloud”) which receives media content from sources of media content, and delivers the media content selectively to video display devices. For each of a plurality of users of the virtual computer system, there is a corresponding process (“cloudclone”) running on the virtual computer system which coordinates the delivery of the content to one or more of the video display devices which are associated with the corresponding user. The cloudclone includes respective components for managing the transfer of media content to each of the video display devices associated with the user. This makes possible a straightforward way of migrating video sessions between the devices associated with the user, by changing the corresponding cloudclone.

Abstract: A system is proposed for delivering video content to display devices using a cloud computing model. A plurality of independent physical computer systems cooperate to implement a virtual computer system (“cloud”) which receives media content from sources of media content, and delivers the media content selectively to video display devices. For each of a plurality of users of the virtual computer system, there is a corresponding process (“cloudclone”) running on the virtual computer system which coordinates the delivery of the content to one or more of the video display devices which are associated with the corresponding user. The cloudclone includes respective components for managing the transfer of media content to each of the video display devices associated with the user. This makes possible a straightforward way of migrating video sessions between the devices associated with the user, by changing the corresponding cloudclone.

Abstract: A method monitors a performance of an all-optical network by acquiring data from the network in a form of histograms. A dimensionality of the histograms is reduced by fitting Gaussian mixture models to the histograms to produce corresponding 4-dimensional quadruples (?0,?1,?0,?1), wherein ?i is a mean, and ?i, is a standard deviation of each Gaussian mixture model for zero and one bits as indicated in the subscripts i. Regression analysis is applied to features extracted the 4-dimensional quadruples to determine a noise level and a chromatic dispersion level of the all-optical network.