Abstract: In one embodiment, a service in a network computes an expected information gain associated with rerouting traffic from a first tunnel onto a backup tunnel in the network. The service initiates, based on the expected information gain, rerouting of the traffic from the first tunnel onto the backup tunnel. The service obtains performance measurements for the traffic rerouted onto the backup tunnel. The service uses the performance measurements to train a machine learning model to predict whether rerouting traffic from the first tunnel onto the backup tunnel will satisfy a service level agreement (SLA) of the traffic.

Abstract: A method and system for effective service fulfillment in a communication network is disclosed. The method includes determining utilization of each of a plurality of resources for each of a plurality of network slice instances. The method further includes determining a service allocation schedule and a service resource utilization across one or more service classes and one or more resource classes for each of the plurality of resources; determining at least one of a set of possible actions required to be performed in at least one of the plurality of resources, a plurality of services, and the plurality of network slice instances based on a consolidation plan; assessing an impact of each of the set of possible actions based on a plurality of factors; and triggering a relevant network function(s) to perform at least one of the set of determined possible actions based on the assessed impact.

Abstract: Examples relate to a method, an apparatus and a computer program for processing a plurality of electronic messages, and to an electronic message server. The method comprises obtaining (110) the plurality of electronic messages. The method further comprises selecting (120) at least a subset of electronic messages of the plurality of electronic messages based on information related to a plurality of suspicious electronic message sender identifiers. The method further comprises determining (130), whether a number of electronic messages of the subset of electronic messages obtained within a pre-defined time interval exceeds a threshold. The method further comprises discarding (140) the electronic messages of the subset of electronic messages if the number of electronic messages of the subset of electronic messages obtained within the pre-defined time interval exceeds the threshold.

Abstract: A system and method that enable data processing and dynamic recombination of data by software on a device to be enhanced without requiring a replacement of the main software image on the device. Runtime management objects are generated at a network management platform including an interpreted application. The runtime management objects, KPIs, and interpreted application are downloaded network access devices. Data is collected at the interpreted application and analytics is performed on the collected data. First new runtime management objects are dynamically created at the interpreted application. The first new runtime management objects are presented to the network management platform. Analytics on the first new runtime management objects is performed at the network management platform to generate second new runtime management objects to provide to the plurality of network access devices for processing by the downloaded interpreted applications.

Abstract: The cause of a failure to satisfy a high priority service level objective of a storage object or storage group is localized within a storage array. Storage objects that have been assigned low priority service level objectives are analyzed to determine whether their performance paths overlap with the performance path of the high priority service level objective storage object or storage group at the location of the cause of the failure. The low priority service level objective storage objects having performance paths that overlap with the performance path of the high priority service level objective storage object or storage group at the location of the cause of the failure are targeted for IO data rate reduction in order to free resources to restore compliance with the high priority service level objective. The other low priority service level objective storage objects are not targeted.

Abstract: A process includes enforcing compliance of a compute appliance to a reference operating state for the compute appliance. The compute appliance is part of a cloud-based computing system. Enforcing compliance with the reference operating state includes, responsive to a startup of the compute appliance, the compute appliance determining an actual compute state of the compute appliance. The actual compute state includes an actual physical topology placement of a hardware component of the compute appliance. Determining the actual compute state includes determining the physical topology placement of the hardware component. Enforcing compliance with the reference operating state includes verifying whether the actual compute state complies with the reference compute state. The verification includes comparing the actual compute state to the reference compute state.

Abstract: A method, a device, and a non-transitory storage medium are described in which an blocking delivery service is provided. The service may use an identifier of a source end device, destination address information associated with a destination end device, and configurable criteria as a basis to block delivery of application service layer data. The service may be configured to apply to end devices based on an addressing scheme of the service. The service may be configured on a network device that provides an application service. The service may block delivery without the use of class of service or subscriber provisioning.

Abstract: A method of solving a problem of a network and an electronic device for performing the method are provided. The electronic device includes at least one processor. The processor may determine a representative cause representing a cause of each of anomaly samples of a quality indicator indicating a quality of the network. The processor may perform a time-series analysis on an indicator associated with the representative cause. The processor may propose a solution corresponding to the representative cause and a result of the time-series analysis.

Abstract: In one embodiment, a device obtains an indication of a network event predicted by a routing engine for a network. The device initiates monitoring of one or more network paths associated with the network event, to determine one or more states of the network. The device makes a comparison between the one or more states of the network and a set of one or more constraints. The device provides a prediction cancelation notification to the routing engine, based on the comparison.

Abstract: A computer-controlled system for digitally evaluating one or more computer-executable and traceable metrics associated with a machine at a node. The system includes a computerized data collection wireless device for collecting digital data stored in the form of a plurality of computer-executable files from the machine. The computerized data collection wireless device includes a metric logistics device that generates a metric queue containing a plurality of computer-executable metric components storing information indicative of at least one of a date, time, geo-coordinates, machine identification details, and computer readable and executable performance data associated with the machine. The system includes a data aggregator and a computer-controlled metric appliance communicatively coupled to the data aggregator and receives the metric queue from the data aggregator.

Abstract: A server system receives an electronic document from a client system to be stored at a content management system. The server system generates multiple copies of the electronic document that are stored in parallel at respective multiple instances of the content management system. The server system receives a request to retrieve a copy of the electronic document. In response to the request, the server system checks, by a load balancer, whether the respective multiple instances of the content management system are operational to retrieve the copy of the electronic document. The server system then performs load balancing by the load balancer in accordance with a round-robin process to select a particular instance and retrieves the copy of the electronic document from the particular instance of the content management system.

Abstract: Systems and methods described herein provide a co-managed configuration service. A network device stores parameters for the co-managed configuration service. The parameters identify exposed services for an enterprise network that uses devices from a network service provider. The network device receives, via a customer portal, a vendor-agnostic change request for the enterprise network. The change request includes a user role and a change request name for one of the exposed services. The network device authenticates the change request based on the user role and the change request name and retrieves vendor director information for an SDN device implementing the configuration change. The network device invokes, in response to the change request, the configuration change for the enterprise network based on the vendor director information.

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: 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: 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: 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: 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: 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: Methods and systems for managing communications include identifying a system condition in a distributed computing system comprising a first microservice in communication with a second microservice. A communications method is identified responsive to the identified system condition using a reinforcement learning model that associates communication methods with system conditions. The identified communications method is implemented for communications between the first microservice and the second microservice, such that the first microservice and the second microservice use the identified communications method to transmit data.