Abstract: A method for a remote support service performed by a remote control device includes receiving, from a controlled terminal, a first image packet including image data for a first image, rendering the first image based on the image data, transmitting a control packet including control data corresponding to an administrator's input to the controlled terminal when the administrator's input for the rendered first image is detected, receiving a second image packet including image data for a second image obtained by capturing the screen of the controlled terminal and identification information on whether or not the second image data is an image generated for the first time after a control event based on the control data is performed, determining whether or not to render the second image based on the identification information, and rendering the second image based on the image data for the second image according to the determination result.

Abstract: A server or an on-premises computing node accesses a message and a destination tag indicating one or more client devices participating in a conference to receive the message. The server or the on-premises computing node determines a configuration for the message based on a source of the message. The server or the on-premises computing node transmits the message to the one or more client devices indicated in the destination tag to configure the one or more client devices to display the message according to the configuration within a display region associated with the conference.

Abstract: Described are computing systems and methods configured to detect a small, but meaningful, anomaly within one or more metrics associated with a platform. The system displays visuals of the metrics so that a user monitoring the platform can effectively notice a problem associated with the anomaly and take appropriate action to remediate the problem. An operational visual includes a radar-based visual with a heatmap arranging metrics, and a node representing a state of the metrics. Moreover, the system uses an ensemble of unsupervised machine learning algorithms for multi-dimensional clustering of hundreds of thousands of monitored metrics. Via the visuals and the implementation of the machine learning algorithms, the described techniques provide an improved way of representing and simulating many metrics being monitored for a platform. Moreover, the techniques are configured to expose actionable and useful information associated with the platform in a manner that can be effectively interpreted.

Abstract: Systems, methods, devices and non-transitory, computer-readable storage mediums are disclosed for single sign-on (SSO) for mobile applications using direct brokering for identity authentication. In an embodiment, a method comprises: sending, by a mobile application operating on a mobile device, a request to an online service provider for access to a resource; receiving, by the mobile application, a redirect from the service provider to an identity service provider for authentication; and establishing, by a portion of binary code of the mobile application and using the redirect, a brokered authentication session with the identity service provider, the portion of binary code configured to operate as a broker for the mobile application for the authentication session, and to provide single sign-on (SSO) services to the mobile application and other mobile applications operating on the mobile device, the SSO services including services to access the resources and authorization to use the accessed resources.

Abstract: Technologies are provided for providing a dashboard interface corresponding to one or more datacenter components for information originating from one or more proprietary applications. A selection of information corresponding to the one or more datacenter components is initially received. Upon receiving the selection, an application programming interface (API) call request is made, in real-time, for the information corresponding to the one or more datacenter components from the one or more proprietary applications. As the information corresponding to one or more datacenter components from the one or more proprietary applications is received, it is aggregated and provided within the dashboard interface.

Abstract: Systems and methods are disclosed herein for remote application sharing. An exemplary method comprises detecting a user establishing a connection with a remote application server, authenticating the user based on login information associated with the user, determining that the user has requested execution of a shared application hosted on the remote application server, responsive to determining that the user has requested execution of the shared application, gathering information for accessing the shared application hosted on the remote application server, establishing a user session for executing the shared application, generating an application link comprising the information for accessing the shared application over the user session and publishing the application link for distribution to one or more third party users, wherein activation of the application link by the one or more third party users shares the user session with the one or more third party users.

Abstract: An intelligent wireless broadband network and content delivery management within a network includes at least one datacenter, at least one network tower and a plurality of smart nodes may be provided. Each of the plurality of smart nodes may be deployed as a micro point of presence (micro POP) at the at least one datacenter the at least one tower and at each of a plurality of hub-homes within the network. An artificial intelligence (AI) capable compute unit may be configured to provide customization of the plurality of smart nodes based on usage pattern of the plurality of homes at a neighborhood level, and thereby facilitating a dynamic edge network distribution solution for better Internet experience to the end-users.

Abstract: A client-server computer system includes a client-side application executing on a computing device, operative to communicate with a native application executing on the computing device to obtain and store a multi-media content file generated using the native application in a native content file format. A server includes a server-side application operative to communicate with the client-side application, and operative to: create an association between the multi-media content file, a recipient computing device, and a courier tracking number; determine that delivery of a parcel associated with the courier tracking number has occurred; and transmit the multi-media content file in the native content file format to the recipient device in response to determining that delivery of the parcel has occurred.

Abstract: The disclosure relates to a method, executed by an NFV-MANO, for providing a requested Service Availability Level (SAL) for a Network Service (NS). The method comprises at each of a plurality of layers of the NFV-MANO, mapping the requested SAL to a SAL that needs to be provided by a lower layer of the NFV-MANO. The method comprises propagating the mapped requested SAL through interfaces between layers of the NFV-MANO, from an NFVO towards a VIM. The method comprises receiving an estimated SAL? for the NS based on virtual resources (VR) allocated by the VIM for satisfying the requested SAL. The method comprises, upon determining that the estimated SAL? does not satisfy the requested SAL, taking actions to meet the requested SAL, or upon determining that the estimated SAL? satisfies the requested SAL taking no further actions.

Abstract: Aggregation of cross domain service level indications provide an estimate of available end to end error budget within a service chain of a network system. In some embodiments, service level indications are obtained from a plurality of sub-domains, and aggregated to determine an end to end reliability score. The end to end reliability score is then distributed one or more of the sub-domains. The sub-domains then consider whether to implement a change based on local service level indications as well as the end to end reliability score. In other embodiments, a sub-domain requests approval to implement a change from an error manager. The error manager consults the end to end reliability score to determine whether adequate margin exists in the service chain to allow the change to occur, while still meeting service level objectives of the service chain. The error manager conditionally approves the request based on the determination.

Abstract: Techniques for hub and spoke publish-subscribe are described herein. In some examples, an outgoing-data database comprising addresses of remote device hubs on respective remote devices is maintained. First data is received from a first process operating on the device. The first data is sent to a first remote hub associated with a first remote device and associated with an entry in the outgoing-data database. An incoming-data database is maintained to associate processes operating on the device with data to which the processes subscribe. Second data is received from a second device hub associated with a second device. It is determined—by reference to the incoming-data database—that the second data is data subscribed-to by a second process operating on the device. The second data is sent to the second process.

Abstract: In some embodiments, a method inserts, by a first computing device, a first value for a capability in a first message that is used in a process to automatically exchange capability values with a second computing device. The first value for the capability indicates the first computing device requires a default route to reach the second computing device as a next hop for sending a packet to a destination. The first computing device sends the first message to the second computing device; and receives a second value for the capability in a second message from the second computing device. The second value indicating the second computing device will send the default route to reach the second computing device. When the default route is received from the second computing device, the first computing device stores the default route from the second computing device in a route table.

Abstract: An example method includes, responsive to receipt of a task request to perform a task (e.g., associated with a service), and further responsive to generation of an avatar instance from an avatar object representing at least one device having a defined group of capabilities, selecting devices (e.g., service providers providing microservices) to perform sub-tasks associated with the task, wherein each of the devices has at least one defined capability, and wherein the task request includes parameter values, and sending, to the devices, at least one sub-task request to perform the sub-tasks, the at least one sub-task request including at least one parameter value, responsive to sending the at least one sub-task request, receiving, from the devices, sub-task replies associated with performance of the sub-tasks, and sending, based on the sub-task replies, a task reply associated with performance of the task. The example method may support autonomous or semi-autonomous configurations.

Abstract: A network management entity configured to: deactivate a Network Slice Instance without releasing network resources previously allocated to the Network Slice Instance; and subsequent to deactivating the Network Slice Instance, activating the Network Slice Instance using the network resources previously allocated to the Network Slice Instance. A Network Slice Management Function (NSMF) perform slice specific Lifecycle Management (LCM) for a Network Slice Instance (NSI) based on Communication Service Instance (CSI) requirements is also disclosed. Customer Service Management Function (CSMF) for receiving service requirements from a Service Manager (SM) and transmitting the CSI requirements a Network Slice Management Function (NSMF) is also disclosed.

Abstract: A processor may analyze an external device for one or more activity data collection devices. A processor may identify an activity the external device will perform in a protected boundary using the one or more activity data collection devices. A processor may deactivate the one or more activity data collection devices associated with the external device. A processor may generate activity data based, at least in part, on the activity and the protected boundary. A processor may output the activity data to the external device. In some embodiments, the external device may perform the activity using the activity data.

Abstract: Methods and apparatuses are described for determining future user actions using time-based featurization of clickstream data. A server captures clickstream data corresponding to web browsing sessions and converts the clickstream data into tokens by identifying each unique URL and parsing each unique URL into tokens. The server generates a frequency matrix based upon the tokens, and generates a latent feature vector for each URL in the session based upon the frequency matrix. The server merges the latent feature vectors and the clickstream data into an aggregate clickstream vector set for a user. The server assigns time-decayed weight values to each latent feature vector in the aggregate clickstream vector set. The server combines the time-decayed latent feature vectors to generate a clickstream embedding for the user, and executes a machine learning model using the clickstream embedding to generate one or more predicted actions of the user.

Abstract: Systems and methods for providing online content include evaluating a custom selection rule specified by a content provider. The custom selection rule may be used to control whether content from the provider is eligible for selection by a content selection service. The content selection rule may include one or more logical operators, a selected interest category and/or a selected list of one or more client identifiers.

Abstract: Configuring device data streams (DDSs) of a mobile device is described herein. DDSs can include sensor data (captured from one or more sensors of the mobile device) and user-specific data (including application data from applications executed via the mobile device, as well as non-application data). DDS configuration parameters define modifications for the user-specific data and/or the sensor data of the DDS; these modifications can include removing or altering the user-specific data and/or the sensor data. DDSs can be sent to an external storage device via a network, and DDS modifications can be made at the mobile device or at the external storage device. Modified DDSs can be provided to requestors, and thus, the DDS configuration parameters allow a user to control what data is, or is not, included in a DDS for reasons related to privacy, data usage, etc.

Abstract: A user having multiple electronic devices may receive notifications at each of the devices. When it is determined that a first device is in an active state and that a notification has been viewed on that device, an indication that the notification has been viewed may be communicated by the first device to a synchronization server. It may then be determined whether the viewed notification is also present on one or more of the user's other devices. Based on the determination, an indication that the notification has been viewed may be sent from the synchronization server to each of the user's devices on which the notification is present. Upon receipt of the indication from the synchronization server, the viewed notification may be removed from each of the devices, thereby avoiding a redundant display of the notification on multiple devices.

Abstract: Methods and systems for a networked storage system are provided. One method includes receiving a resource identifier identifying a resource of a network storage environment as an input to a processor executable application programming interface (API); and predicting available performance capacity of the resource by using an optimum utilization of the resource, a current utilization and a predicted utilization based on impact of a workload change at the resource, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency in processing the workload.