Abstract: The present disclosure generally discloses an event handling capability configured to support handling of events. The event handling capability may be configured to support handling of events in a distributed event handling system, which may use distributed queuing of events, distributed processing of events, and so forth. The distributed event handling system may be serverless cloud system or other type of distributed event handling system. The event handling capability may be configured to support handling of events in a distributed event handling system based on use of a message bus for queuing of events and based on use of hosts for queuing and processing of events.

Abstract: The present disclosure generally discloses an event handling capability configured to support handling of events. The event handling capability may be configured to support handling of events in a distributed event handling system, which may use distributed queuing of events, distributed processing of events, and so forth. The distributed event handling system may be serverless cloud system or other type of distributed event handling system. The event handling capability may be configured to support handling of events in a distributed event handling system based on use of a message bus for queuing of events and based on use of hosts for queuing and processing of events.

Abstract: A method for migration of a virtual network function, VNF, from a source node to a destination node includes receiving by the destination node a snapshot of a state of the virtual network function implemented by the source node and receiving by the destination node state update elements encoding a change of the state of the virtual network function implemented by the source node caused by processing of one or more data packets received by the source node since the snapshot.

Abstract: The present disclosure generally discloses a host scaling capability for supporting scaling of hosts in a distributed event handling system. The host scaling capability may be configured to support scaling of hosts in a distributed event handling system which may use distributed queuing of events, distributed processing of events, and so forth. The distributed event handling system may be serverless cloud system or other type of distributed event handling system.

Abstract: A controller is provided for a Cloud based service handling multiple types of traffic in a telecommunications network, the controller comprising: a first stage configured to automatically model use of Cloud resources allocated to the service for specific workloads of each of a plurality of traffic types, so as provide a variety of models for each traffic type; a second stage configured to automatically reduce the number of and generalise the models so as to provide generalised models for each traffic type applicable to other workloads than the specific loadings; a third stage configured to automatically evaluate accuracy of the generalised models for various combinations of given workloads, in each combination each of the given workloads being of a corresponding traffic type, and to select one of the generalised models dependent upon evaluated accuracy; and a fourth stage configured to control operation of the Cloud resources according to the selected model.

Abstract: The present disclosure generally discloses improvements to computer performance in message handling based on a message handling capability for supporting handling of messages in a distributed message handling system. The message handling capability may be configured to support balanced distribution of messages in a distributed message handling system. The message handling capability may be configured to support, in a distributed message handling system including a set of producers and a set of consumers exchanging messages via a distributed message bus including a set of message queues, balanced distribution of messages by producers to message queues for making the messages available to consumers.

Abstract: A method for migration of a virtual network function, VNF, from a source node to a destination node includes receiving by the destination node a snapshot of a state of the virtual network function implemented by the source node and receiving by the destination node state update elements encoding a change of the state of the virtual network function implemented by the source node caused by processing of one or more data packets received by the source node since the snapshot.

Abstract: The present disclosure generally discloses an event handling capability configured to support handling of events. The event handling capability may be configured to support handling of events in a distributed event handling system, which may use distributed queuing of events, distributed processing of events, and so forth. The distributed event handling system may be serverless cloud system or other type of distributed event handling system. The event handling capability may be configured to support handling of events in a distributed event handling system based on use of a message bus for queuing of events and based on use of hosts for queuing and processing of events.

Abstract: The present disclosure generally discloses a host scaling capability for supporting scaling of hosts in a distributed event handling system. The host scaling capability may be configured to support scaling of hosts in a distributed event handling system which may use distributed queuing of events, distributed processing of events, and so forth. The distributed event handling system may be serverless cloud system or other type of distributed event handling system.

Abstract: A controller is provided for a Cloud based service handling multiple types of traffic in a telecommunications network, the controller comprising: a first stage configured to automatically model use of Cloud resources allocated to the service for specific workloads of each of a plurality of traffic types, so as provide a variety of models for each traffic type; a second stage configured to automatically reduce the number of and generalise the models so as to provide generalised models for each traffic type applicable to other workloads than the specific loadings; a third stage configured to automatically evaluate accuracy of the generalised models for various combinations of given workloads, in each combination each of the given workloads being of a corresponding traffic type, and to select one of the generalised models dependent upon evaluated accuracy; and a fourth stage configured to control operation of the Cloud resources according to the selected model.

Abstract: Load balancing and overload control techniques are disclosed for use in a SIP-based network or other type of network comprising a plurality of servers. In a load balancing technique, a first server receives feedback information from at least first and second downstream servers associated with respective first and second paths between the first server and a target server, the feedback information comprising congestion measures for the respective downstream servers. The first server dynamically adjusts a message routing process based on the received feedback information to compensate for imbalance among the congestion measures of the downstream servers. In an overload control technique, the first server utilizes feedback information received from at least one downstream server to generate a blocking message for delivery to a user agent.

Abstract: A method and apparatus for peer-to-peer file sharing is provided. In some embodiments, the method includes receiving a request for a list of neighbor peers, where the request is made by a requesting peer device, and where the requesting peer device has a local internet service provider (ISP). The method may also include employing a server device to rank each neighbor peer in a plurality of neighbor peers based on whether the respective neighbor peer is external to the local ISP, and if the respective neighbor peer is external to the ISP, further based on a cost metric associated with a next ISP hop from the requesting peer device to the respective neighbor peer. The method may also include generating the list of neighbor peers based on the ranking of the neighbor peers, and enabling transmission of the list of neighbor peers to the requesting peer device.

Abstract: Load balancing and overload control techniques are disclosed for use in a SIP-based network or other type of network comprising a plurality of servers. In a load balancing technique, a first server receives feedback information from at least first and second downstream servers associated with respective first and second paths between the first server and a target server, the feedback information comprising congestion measures for the respective downstream servers. The first server dynamically adjusts a message routing process based on the received feedback information to compensate for imbalance among the congestion measures of the downstream servers. In an overload control technique, the first server utilizes feedback information received from at least one downstream server to generate a blocking message for delivery to a user agent.

Abstract: A capability for supporting an elastic virtualized component that is stateful is provided by supporting state migration for the elastic virtualized component. The elastic virtualized component may support a virtualized network function or any other suitable virtualized function. The elastic virtualized component includes a component load balancer and a set of component instances configured to provide functions of the elastic virtualized component. The elastic virtualized component may be configured to support migration of state information of the component instances following elasticity events in which the capacity of the elastic virtualized component changes (e.g., in response to growth events in which the number of component instances of which the elastic virtualized component is composed increases, in response to degrowth events in which the number of component instances of which the elastic virtualized component is composed decreases, or the like).

Abstract: Load balancing and overload control techniques are disclosed for use in a SIP-based network or other type of network comprising a plurality of servers. In a load balancing technique, a first server receives feedback information from at least first and second downstream servers associated with respective first and second paths between the first server and a target server, the feedback information comprising congestion measures for the respective downstream servers. The first server dynamically adjusts a message routing process based on the received feedback information to compensate for imbalance among the congestion measures of the downstream servers. In an overload control technique, the first server utilizes feedback information received from at least one downstream server to generate a blocking message for delivery to a user agent.

Abstract: A capability is provided for improving service availability experienced by a user requesting access to a service via a user device, where the service has multiple service instances available from multiple data centers. A set of servicing data centers is selected for the user device. The set of servicing data centers is selected from a set of candidate data centers. The set of servicing data centers is selected from the set of candidate data centers in a manner for maximizing the independence/orthogonality of the network paths between the user device and the servicing data centers. The set of servicing data centers includes two or more of the candidate data centers from which the user device may access the service, thereby providing the user device with a primary service instance and one or more backup service instances which may be used to access the service.

Abstract: Various exemplary embodiments relate to a method for scaling out a cloud application, the method including: receiving a virtual private network (VPN) scale out request at a network management system (NMS), the scale out request including communication requirements from a cloud computing manager; determining the value of communication parameters corresponding to the communication requirements for a set of potential VPN endpoints; determining that only a portion of the set of potential VPN endpoints meet the communication requirements based upon the communication parameters; and sending an indication to the cloud manager that only a portion of the set of potential VPN endpoints meet the communication requirements.

Abstract: A capability is provided for improving service availability experienced by a user requesting access to a service via a user device, where the service has multiple service instances available from multiple data centers. A set of servicing data centers is selected for the user device. The set of servicing data centers is selected from a set of candidate data centers. The set of servicing data centers is selected from the set of candidate data centers in a manner for maximizing the independence/orthogonality of the network paths between the user device and the servicing data centers. The set of servicing data centers includes two or more of the candidate data centers from which the user device may access the service, thereby providing the user device with a primary service instance and one or more backup service instances which may be used to access the service.

Abstract: In one embodiment, the method includes receiving a content request from the end user at a proxy. A modified TCP connection request message is generated such that the modified TCP connection request message includes a content identifier. The content identifier identifies the requested content. The modified TCP connection request message is sent from the proxy towards an origin server associated with the requested content, and a response to the TCP connection request message is received from a network element. A TCP connection is established with the network element.

Abstract: A content distribution network (CDN) comprising a hierarchy of content storage nodes (CSNs) or caches having storage space that is allocated between local space for storing locally popular content objects and federated space for storing a portion of the less popular content objects. Local space and federated space based upon changes in content object popularity and/or other utility factors. Optionally, parent/child (upstream/downstream) communication paths are used to migrate content between CSNs or caches of the same or different hierarchical levels to avoid utilizing higher price top hierarchical level communications channels.