A system determines the performance of a network within the context of an application using that network. Network data is collected and correlated with an application that uses the network as well as a distributed transaction implemented by the application. The collected network data is culled, and the remaining data is rolled up into one or more metrics. The metrics, selected network data, and other data are reported in the context of the application that implements part of the distributed transaction. In this manner, specific network performance and architecture data is reported along with application context information.

Systems and methods described herein relate to creating or modifying multimedia content using theme-based effects. In accordance with some implementations, a method can comprise the operations of: accessing foundational content having an associated content timeline; receiving a request to apply a theme to the foundational content, wherein the theme includes one or more theme-based effects that relate to the theme; receiving a theme-based effect associated with the theme, wherein the theme-based effect has an associated effect timeline; and applying the theme-based effect to the foundational content according to a set of cues associated with the associated content timeline, wherein applying the theme-based effect comprises adapting the associated effect timeline according to the set of cues while preserving the associated content timeline.

A method of calculating a path in a first layer of a multi-layer network comprises receiving information corresponding to one or more parameter from a second layer of the multi-layer network. The one or more parameter relates to a summarization of links between edge nodes of the second layer connected with the first layer. The method further comprises calculating a path in the first layer using the received information from the second layer.

Embodiments are directed towards multi-level entity classification. An object associated with an entity is received. In one embodiment the object comprises and email and the entity comprises the IP address of a sending email server. If the entity has already been classified, as indicated by an entity classification cache, then a corresponding action is taken on the object. However, if the entity has not been classified, the entity is submitted to a fast classifier for classification. A feature collector concurrently fetches available features, including fast features and full features. The fast classifier classifies the entity based on the fast features, storing the result in the entity classification cache. Subsequent objects associated with the entity are processed based on the cached result of the fast classifier. Then, a full classifier classifies the entity based on at least the full features, storing the result in the entity classification cache.

Techniques for sharing secrets over one or more computer networks using proxies are provided. In one technique, a proxy server receives, from a client device, over a computer network, a request for a secret. In response to receive the request, the proxy server causes a tunnel to be created with a resource server that is separate from the client device, retrieves the secret from a secrets repository, and causes the secret to be transmitted through the tunnel to the resource server.

Techniques for sharing secrets over one or more computer networks using proxies are provided. In one technique, a proxy server receives, from a client device, over a computer network, a request for a secret. In response to receive the request, the proxy server causes a tunnel to be created with a resource server that is separate from the client device, retrieves the secret from a secrets repository, and causes the secret to be transmitted through the tunnel to the resource server.

A method is provided. The method includes selecting a standalone augmented reality (STAR) media content including a scene for transmission over a 5G media streaming (5GMS) network, creating, in an outer session loop, an augmented reality (AR)/mixed reality (MR) session for streaming the STAR media content, rendering, in an inner session loop within the outer session loop, the STAR media content, and updating, in the outer session loop, the scene with a new scene by providing the new scene to the inner session loop while the inner session loop renders the STAR media content.

A method is provided. The method includes selecting a standalone augmented reality (STAR) media content including a scene for transmission over a 5G media streaming (5GMS) network, creating, in an outer session loop, an augmented reality (AR)/mixed reality (MR) session for streaming the STAR media content, rendering, in an inner session loop within the outer session loop, the STAR media content, and updating, in the outer session loop, the scene with a new scene by providing the new scene to the inner session loop while the inner session loop renders the STAR media content.

Provided are systems, methods, and computer-program products for a proxy network that can determine, for a set of objects, an initial differential, where the initial differential is determined using a rules data store of a host network. The proxy network can further determine a supplemental differential for the set of objects. The proxy network can further determine a final differential that is the sum of the initial differential and the supplemental differential. The proxy network can further determine a final sum for the set of objects that is the object value less the final differential. The proxy network can further generate an outbound data packet that includes values corresponding to the set of objects and the final sum. When the host network receives the outbound data packet, the host network can modify an object data store using the values corresponding to the set of objects and the final sum.

A method is provided. The method includes selecting media content including a full scene description, selecting a 5.sup.th generation (5G) media streaming downlink (5GMSd) application server (AS) to stream the media content based on the full scene description, deriving a simplified scene description based on the full scene description, and creating an augmented reality (AR)/mixed reality (MR) session based on the simplified scene description.