Abstract: Methods, systems, and computer-readable media for automated deprecation analysis in a service-oriented system are disclosed. A service deprecation system determines that a first service in a service-oriented system calls a second service in the service-oriented system. The service deprecation system determines that the second service calls a third service in the service-oriented system. The service deprecation system determines that logic of the second service is duplicated by logic of the first service. The first service is modified to call the third service instead of the second service, and the second service is disabled or removed from the service-oriented system.

Abstract: A novel machine learning-based network analytics, troubleshoot, and self-healing system identifies and locates sources of data network problems autonomously within an entire end-to-end network topology of a network operator, while not necessitating human diagnosis of the data network problems. This system uniquely embeds a smart universal telemetry (SUT) as a quality-of-experience (QoE) parameter collection agent in intermediary transport-level network equipment and each end-user modem, which in turn enables on-demand collection of robust diagnostic data from all end-user modems and intermediary transport level nodes in a data network.

Abstract: In a telecommunications network, a network node processes messages according to different sets of user-programmable message processing rules. The network node includes an input for receiving a series of input messages which are processed in a message manipulation function. Processed messages are also output from the network node according different communication protocols.

Abstract: A recommendation system for recommending a target feature value for a target feature for a target deployment is provided. The recommendation system, for each of a plurality of deployments, collects feature values for the features of that deployment. The recommendation system then generates a model for recommending a target feature value for the target feature based on the collected feature values of the features for the deployments. The recommendation system applies the model to the features of the target deployment to identify a target feature value for the target feature. The recommendation system then provides the identified target feature value as a recommendation for the target feature for the target deployment.

Abstract: The invention relates a method and a device for providing real-time data visualization indicative of statuses of one or more monitored services of an information technology, IT, system, the one or more monitored services being represented in a service management model that manages several service providers as a single data source, the IT system including a role-based access control system for allowing users access to the IT system, the method comprising: associating the single data source with the role-base access control system, such that one or more roles are assigned to each data element of the single data source, periodically requesting, from the single data source, one or more data elements indicative of statuses of said monitored services, and creating one or more data visualizations of the one or more data elements for a given user of the IT system, according to one or more rules.

Abstract: Functions and controls for multimedia sessions are shared amongst pluralities of electronic components, rather than run by a single control unit. A disaggregate multipoint control includes a plurality of electronic components which are, or can be, coupled over a network. The various components are configured to recognize the others and share functions and controls normally associated with a single endpoint device, in order to facilitate a multimedia session.

Abstract: A method and system for managing user access to a multimedia content for an online conference using metadata is disclosed. In some embodiments, the method includes identifying a plurality of contexts for each of a plurality of conference data streams extracted from the multimedia content. The method further includes generating a plurality of metadata types based on the plurality of contexts associated with each of the plurality of conference data streams, providing a plurality of options corresponding to the plurality of metadata types to a user for accessing a section of interest in the plurality of conference data streams, receiving at least one selected option from the plurality of options by the user and validating the user access to one or more of the plurality of conference data streams based on the at least one selected option and access rights associated with the user.

Abstract: A system that provides for management of resource interaction equipment fulfillment via a gateway apparatus that uses Application Programming Interface (API) services to connect and integrate with the various systems deployed by the equipment providers, such that, all data communication between the managing entity and the equipment providers is orchestrated through the gateway apparatus to track the occurrence of events associated with resource interaction equipment fulfillment. Additionally, a distributed trust computing network is implemented in which each of the equipment providers serve as a decentralized node in the distributed trust computing network capable of converging on a data block to verify the validity of the equipment fulfillment process event stored in the block.

Abstract: Systems and methods provide a MEC policy optimization service. A network device applies, in a first edge cluster of the application service layer network, a policy for an application service that supports a customer application; receives network performance data related to execution of the application service; identifies, based on the network performance data, an improved policy to optimize the first policy for the customer application in the first edge cluster; and sends a model of the improved policy to a central network device for the application service layer network.

Abstract: The present disclosure provides an enhanced computation of a data model for an intelligent data processing device. The data processing device may be a device having limited computational resources. Accordingly, a system model for processing the data is computed in the local device. Additionally, an enhanced model may be computed in a remote device like a cloud or a data center. For this purpose, the cloud or datacenter is provided with filtered data for computing an enhanced model. The cloud or datacenter may compute an enhanced model and forward the respective model to the local device if the enhanced model is better than the model locally generated.

Abstract: A prediction model generation device has a first storage unit that stores a plurality of explanatory variables, a second storage unit that stores a plurality of objective variables, an input unit that inputs instruction information on classification, a class generation unit that generates a plurality of classes based on the instruction information, and a prediction model calculation unit that calculates a plurality of prediction models corresponding to the plurality of classes. The prediction model calculation unit has a learning data set extraction unit that extracts a learning data set corresponding to each of the plurality of classes from among the plurality of explanatory variables and the plurality of objective variables.

Abstract: A communication apparatus comprises a rollback control unit to create a second process to roll back a currently working first process thereto; a storage to store states shared by the first and the second processes, the second process taking over a state(s) stored in the storage unit; a buffer; and a timing control unit that controls of timing of rollback. The rollback control unit starts event buffering to store in the buffer all of an event(s) received during when the first process is processing and destined to the first process, and upon completion of the processing of the event by the first process, the rollback control unit performs switching of a working process from the first process to the second process, sends the event(s) stored therein from start of the event buffering to the second process and stop event buffering.

Abstract: Techniques are described herein for deploying, monitoring, and modifying network topologies comprising various computing and network nodes deployed across multiple workload resource domains. A deployment system may receive operational data from a network topology deployed across multiple workload resource domains, such as public or private cloud computing environments, on-premise data centers, and the like. The operational data may be provided to a trained machine-learning model, and output from the trained model may be used, along with constraint inputs and resource inventories of the workload resource domains, to determine updated topology models which may be deployed within the workload resource domains.

Abstract: A system for allocating domain name acquisition resources is provided. The system performs a method comprising: obtaining, at a database, a list of domain names that are to be deleted during a first time window; updating a drop catch table in the database, wherein the drop catch table comprises a second list of domain names that are to be deleted; refreshing a cache in an application server that provides DNS services based on the drop catch table; obtaining, at the application server, a EPP command from a registrar to register a domain name from the drop catch table that is about to be deleted during a second time window; determining, based on the cache, that the domain name to be registered is available to be registered; updating a flag for the domain name in the cache indicating that the domain name is registered; and providing an acknowledgment to the registrar.

Abstract: Fully qualified domain name determination is disclosed. A queue of fully qualified domain names (FQDN) is created using a predetermined amount of network domains. Each FQDN is crawled from a plurality of collection agents of a computer network. For each FQDN, data comprising an Internet Protocol (IP) address of the FQDN, IP addresses for resources loaded for the FQDN and load times of the resources loaded for the FQDN are extracted. A correlation model is generated based on the data. An FQDN being accessed by one or more computer devices of the computer network is determined by using the correlation model.

Abstract: Determining priority of conflicting resource requests using dynamic logic includes analyzing current computer resource availability using cognitive capabilities and determining priority for the computer resources. The method may further include continuously assessing impact of the priority determinations, dynamically configuring the defined logic based on the assessment and modifying the defined logic using machine learning of effectiveness of the priority determinations. The method may also include predicting an urgency of the received computer resources requests and determining a pattern computer resource requests by users.

Abstract: A function management device that manages, in a communication system including a plurality of pieces of customer premises communication equipment and a server capable of providing a function to the plurality of pieces of customer premises communication equipment, the function provided by the server, and includes a resource management unit configured to collect resource information from the plurality of pieces of customer premises communication equipment, a network management unit configured to collect, from the server, network band information of each of the functions, the network band being between the plurality of pieces of customer premises communication equipment and the server, and a function processing unit configured to activate a virtual machine on one of the plurality of pieces of customer premises communication equipment on the basis of the resource information and the network band information to cause a first function selected on the basis of a band occupancy ratio from among the functions provided

Abstract: A needs-matching navigator system and social network facilitator appurtenances including, for a large user plurality, software driven modules residing on electronic communications enabled platforms and devices. Beyond altruistically enhancing flourishing life horizons and life quality metrics, the modules facilitate (A) knowing respective user bias, profile, perspective, wellbeing orientation, and privacy preference; (B) understanding user needs description and wellbeing criteria; (C) finding answer and solutions to the needs by user biased projecting the description onto electronically stored knowledge-bases; (D) matching the user to the answers and solutions; and preferably (E) creating an instant electronic communications interactive community for the respective user, by inverse projecting large subsets of the answers and solutions back onto the large plurality of users; according to said users' profiles and needs descriptions.

Abstract: Disclosed herein are techniques for combining content management system functionality with an email or messaging server. A system can associate an email with a content item, through express attachment, direct reference such as a link, indirect reference, or otherwise. The system can store the associated content item within content item storage or identify a stored content item that is identical to the content item that is associated with the email. The system can then enhance email service functionality with the stored content item. For example, the system can present the stored content item or information about the stored content item along with the email. The system can also automatically grant permissions to the stored content item with participants of the email.

Abstract: A novel machine learning-based network analytics, troubleshoot, and self-healing system identifies and locates sources of data network problems autonomously within an entire end-to-end network topology of a network operator, while not necessitating human diagnosis of the data network problems. This system uniquely embeds a smart universal telemetry (SUT) as a quality-of-experience (QoE) parameter collection agent in intermediary transport-level network equipment and each end-user modem, which in turn enables on-demand collection of robust diagnostic data from all end-user modems and intermediary transport level nodes in a data network.