The present disclosure is related to edge computing frameworks and systems, and in particular, to interworking between different edge computing technologies (ECTs). The present disclosure provides a flexible framework including an edge API service (edgeXapis) gateway (GW) enabling interoperable and secure communication among the multiple different ECTs via attestation, and supporting the connection between the multiple different ECTs. The edgeXapis GW also provides exposure to edge Apps of the full list of application programming interfaces (APIs) from each of the multiple different ECTs. The edgeXapis GW also provides interoperable edge service consumption from the multiple different ECTs, including APIs exposed from each of the multiple different ECTs to make different alternative transport protocols available to each other ECT for edge service consumption. Other embodiments may be described and/or claimed.

The present disclosure relates to methods, systems, and storage media for updating confidence scores of labels based on subsequent electronic activities. Exemplary embodiments may maintain a plurality of node profiles corresponding to a plurality of unique entities; access a plurality of electronic activities transmitted or received via electronic accounts associated with one or more data source providers; identify a first electronic activity to process; assign a tag to the first electronic activity based on the data included in the electronic activity; determine a confidence score of the tag based on the data included in the first electronic activity; identify a second electronic activity to process; and update the confidence score of the tag assigned to the first electronic activity responsive to parsing the second electronic activity.

The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.

An apparatus for use by a mobile edge control element or function, the apparatus comprising at least one processing circuitry, and at least one memory for storing instructions to be executed by the processing circuitry, wherein the at least one memory and the instructions are configured to, with the at least one processing circuitry, cause the apparatus at least: to participate in a mobile edge computing based communication of at least one communication element in a communication network, to prepare and send a special data packet to a core network control element or function, wherein the special data packet includes, as a packet source indication, an address information of the at least one communication element and, as a packet destination indication, an address information of the mobile edge control element or function, to receive and process an enriched data packet being based on the special data packet, the enriched data packet including subscriber related identification data for the at least one communication element, to collect the subscriber related identification data from the enriched data packet, and to conduct a communication related processing related to the at least one communication element using the collected subscriber related identification data.

The present disclosure relates to systems and methods for generating new node profiles using information from electronic activities. The system is configured to maintain node profiles corresponding to unique entities; access electronic activities transmitted or received via electronic accounts associated with data source providers; identify a first email address of a sender and second email addresses of respective recipients of an electronic activity; identify that the first email address matches a value of a field of a first node profile; link the electronic activity to the first node profile; determine that a second email address of a respective recipient of the electronic activity cannot be matched to any node profile associated with the respective participant; and generate, responsive to determining that the electronic activity cannot be matched to any node profile of the plurality of node profiles, a new node profile including the second email address of the respective recipient.

A framework is provided for blockchain-based customer dispute management of wholesale telecommunications claims. A network device receives a telecommunication claim to dispute an invoice from a provider network. The provider network and a partner network that includes the network device are related through a wholesale telecommunications agreement. The network device validates the telecommunication claim based on information in a distributed ledger of the distributed consensus network. The distributed ledger includes transaction information generated by the provider network for the partner network under the wholesale telecommunications agreement. The network device adjudicates the telecommunication claim based on information in the distributed ledger and instructions in a contract and updates the distributed ledger with the adjudicated claim.

Methods, systems, and storage media for identifying a sequence of events and participants for record objects are disclosed. Exemplary implementations may: access record objects of a system of record; identify a subset of record objects associated with a group entity and having a first record object status; identify one or more electronic activities linked to the record objects; determine an event-participant pattern based on the electronic activities linked to the record object; identify electronic activities linked with a second record object; determine that a first event is performed by the a participant type and a second event is not yet performed by a second participant type; generate a content item identifying an action to trigger a performance of the second event; and transmit the content item to a device of a participant of at least one electronic activity linked with the second record object.

The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.

A system described herein may provide for the selection of a charging function (“CHF”) associated with a particular user equipment (“UE”). A particular CHF may be selected, from a group of candidate CHFs, based on CHF selection criteria respectively associated with the candidate CHFs and attribute information associated with the UE. The attribute information may describe attributes of the UE, profile information associated with the UE, and/or attributes of traffic and/or bearers associated with the UE.

Unsolicited electronic communications such as robocalls and person-initiated solicitation calls are reduced by imposing tolls for completion of the connections to the called parties, and refunding the tolls to the entities indicated by the electronic communications as the calling parties. In this way, a dishonest originator of a spoofed call bears the cost of the toll, and the toll is not refunded to the dishonest originator. On the other hand, the toll collected from an honest originator of a non-spoofed call is refunded to the honest originator, making the toll transparent to the honest originator and avoiding annoyance of the honest caller caused by the toll. Unsolicited calls may be subjected to filtering, particularly filtering based on the indications of the origins of the calls.