A distributed computing system is configured to compute operational data for a video advertisement delivery system. Cloud-based resource are used to calculate operational parameters such as geographical data, unique advertisement delivery instances and segments of consumers that received the video advertisements.

An archive model can be used for managing networked storage of recorded content, such as network DVR (digital video recorder) content. Content may be initially recorded to an active storage device, with individual duplicate copies recorded for each requesting user, and subsequently archived to an archive storage device. For playback, the content can be reconstituted into the active storage device prior to delivery to the requesting user. Content can be predictively reconstituted in anticipation of user needs, and the reconstitution capacity of the system can be dynamically reallocated for load balancing.

The present disclosure provides a data storage method, belonging to the field of data processing. The method is applied to a storage server in a cloud storage system. The method includes: monitoring data transmission status of a data acquisition device; obtaining data exception information according to the monitored data transmission exceptional status; transmitting a first data backhaul request to the data acquisition device, the data acquisition device being configured to return first data acquired within the exception time period upon receiving the first data backhaul request; and storing the first data upon receiving the first data.

Systems, devices, and methods for streaming media content over a network are provided. One exemplary method of streaming media content over a network involves transmitting one or more portions of the media content to a client device via a delivery route between a content delivery source and the network, determining a performance metric associated with the transmitting of the one or more portions via the delivery route, and dynamically adjusting the delivery route between the content delivery source and the network based at least in part on the performance metric.

Systems, methods, and non-transitory, machine-readable media to facilitate adaptive processing and content control are disclosed. Content composites may be created and configured according to a computational model that may include a hierarchical ordering of the content composites using a hierarchical data structure. The configured content composites may be presented with a graphical user interface of an endpoint device. Metrics of interactions with interface elements corresponding to the configured content composites may be determined using a processing device that monitors inputs. The computational model may be automatically trained using the metrics of interactions to create an adapted computational model. Adapted content composites may be created and configured according to the adapted computational model that may include a second hierarchical ordering using a second hierarchical data structure. The adapted content composites may be presented with the graphical user interface.

In some embodiments, a method receives a time period in which video files will be delivered through a plurality of nodes. The method determines a plurality of user accounts that may use a video delivery system to deliver the video files in the time period; generates probabilities of which nodes may be used for each of the plurality of user accounts in the time period; and generates probabilities of which video files may be accessed by each of the plurality of user accounts. A list of video files is generated for a node based on the probabilities of which video files may be accessed and the probabilities of which nodes may be used for each of the plurality of user accounts. The method causes at least a portion of the list of video files for the node to be stored on the node.

The present disclosure provides a system and methods for determining and reserving an optimized amount of required cloud instance resources in order to provide quality streaming to viewers while also reducing overhead costs. For content providers, the choice of appropriate cloud location to transcode the live streams and appropriate number of video representations to serve the current viewership is a key in minimizing cost. However, this task cannot typically be done on the fly due to the properties of live streaming characterized by its dynamic, heterogeneity and wideness. The provided system helps predict the incoming load and the exact number of resources to allocate at each cloud site to help prevent the content provider from over-provisioning resources, leading to an extra cost, or under-provisioning resources, leading to viewers' dissatisfaction.

Systems and methods presented herein provide for a software defined network (SDN) controller that virtualizes network elements to provide content delivery and data services through the virtualized network elements. In one embodiment, the SDN controller is operable in a cloud computing environment to balance data traffic through the virtualized network elements. For example, the SDN controller may abstract Layer 2 Control Protocol (L2CP) frame processing of the network elements into the cloud computing environment to relieve the network elements from the burdens of Ethernet frame processing. In this regard, the SDN controller comprises a L2CP decision module that determines how L2CP should be processed for the network elements.

An edge server of a content delivery network includes an electronic communication unit adapted to be connected to a telematic network and a processing electronic unit adapted to process data packages received and to be transmitted by the electronic communication unit; the processing electronic unit having a first storage sub-unit suitable adapted to store contents and a second storage sub-unit adapted to store configuration information related to a home point of presence of the edge server; the electronic processing unit is programmed to deal with content requests, so that in response to a request for a content if it is, in whole or in part, locally possessed, sends the content and otherwise determines a server address by performing a calculation on a name of the content taking into account configuration information, and causes a request related to the content to be sent to the server address.

A distributed video management system for video surveillance that allows for monitoring a camera allocation parameter and dynamic reallocation of video cameras to available camera nodes in response to detecting a change in the allocation parameter. As such, the system may provide for load balancing of the processing of video data from the video cameras with reference to the allocation parameter. The change in allocation parameter may be due to a number of potential contexts, including a change in availability of camera nodes, a change in the nature of the video data captured, a change in computational load, or other change that results in a change in allocation parameter. The allocation parameter may be continually monitored to allocate video cameras to camera nodes in the system for enhanced system performance in view of potentially changing conditions.