A non-transitory computer readable storage medium may have stored thereon instructions that, when executed by an endpoint device, cause the endpoint device to perform operations including: (i) establishing, by the endpoint device, a first communication channel with an intermediary proxy server; (ii) receiving, from a computational instance and via the intermediary proxy server, a registration payload comprising a list of available proxy servers; (iii) ranking, at the endpoint device, the list of available proxy servers; (iv) selecting, by the endpoint device, a particular proxy server from the list of available proxy servers as ranked; (v) establishing, by the endpoint device, a second communication channel with the particular proxy server; and (vi) communicating, by the endpoint device, with the computational instance via the particular proxy server by utilizing the second communication channel.

A middlebox system that maintains a load balancing configuration in a large scale IoT deployment is provided. The system performs reverse address translation for a first packet of a particular application from a first server to a first client according to a binding structure that couples a source address indicating the first client with (i) a destination addresses indicating the first server and (ii) an application client marker of the first client for the particular application. The system performs reverse address translation for a second packet of the particular application from a second server to the first client by using the application client marker in the binding structure to determine the source address indicating the first client.

Systems and methods are described for load balancing between a set of servers. Subsets of servers from the set of servers are assigned, via deterministic subsetting, to respective clients from a set of clients. Unlike conventional load balancing techniques using deterministic subsetting, the disclosed techniques enable configuring a client to distribute different amounts of load among the servers in its server subset. Techniques for constructing the subsets are also described.

A system and method for diameter agent load balancing. The method including: receiving a request from a sending diameter node; parsing at least one Attribute-Value Pair (AVP) from the request; determining a partition-id from the at least one AVP; determining a receiving diameter node, based on the partition-id; and sending the request to the receiving diameter node. The system including: a message module configured to receive a request from a sending diameter node; a parsing module configured to parse at least one Attribute-Value Pair (AVP) of the message from the request and determine a partition-id from the at least one AVP and a receiving diameter node, based on the partition-id; and a forwarding module configured to send the request to the receiving diameter node.

A system and method for restoring a session state of a client device has been provided. The system comprises a memory with instructions executable by a processor to receive a first request from the client device, where the first request is a first type of request and is associated with a new session of the client device; process the first request without persisting a session state of the new session in the database node; receive a second request from the client device, where the second request is a first instance of a second type of request and is associated with the new session; and in response to determining to restore a persisted session state, restore the persisted session state for the client device from the database node, and assign the persisted session state as the session state of the new session of the client device.

There is provided a solution for balancing application content processing in a mobile communication network. According to an aspect, a method comprises: determining to handover content processing of application data of a terminal device from a first network element to a second network element, wherein one of the first network element and the second network element is configured to perform multi-access edge computing and the other one of the first network element and the second network element is an application server in a core network or beyond the core network from a perspective of the multi-access edge computing; and transmitting at least one handover message to handover the content processing of the application data from the first network element to the second network element.

A first distributed processing node transmits distributed data to a second distributed processing node as intermediate consolidated data. A third distributed processing node generates intermediate consolidated data after update from received intermediate consolidated data and distributed data, and transmits the intermediate consolidated data to a fourth distributed processing node. The first distributed processing node transmits the received intermediate consolidated data to fifth distributed processing node as consolidated data. The third distributed processing node transmits the received consolidated data to a sixth distributed processing node. When an aggregation communication time period required by each distributed processing node to consolidate the distributed data or an aggregation dispatch communication time period being a total time period of the aggregation communication time period and a time period required by each distributed processing node to dispatch the consolidated data exceeds a predetermined time period, the first distributed processing node issues a warning.

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.

A method and a system for providing one or more services to one or more user devices [202] in an IoT network in a scalable M2M (Machine to Machine) framework. The method comprises receiving a connection request from the one or more user devices [202] at a load balance of the IoT network, the connection request comprises at least a username comprising a cluster identifier. The load balancer [204] determines a cluster identifier based on the connection request and identifies at least one target cluster from the one or more clusters [206], said target cluster being associated with the identifier cluster identifier. The load balancer [204] routes the connection request to the at least one target cluster to provide the one or more services to the one or more user devices [202].

Proxying Session Initiation Protocol (SIP) communications in a load balancing device. An outgoing SIP message is received from a session border controller device. The received outgoing SIP message comprises a routing control parameter in the form of a Uniform Resource Identifier (URI). The received outgoing message comprises one or more additional outgoing routing control parameters different to the URI. The one or more additional outgoing routing control parameters have been originated at the session border controller device to control one or more outgoing routing characteristics at the load balancing device. The one or more additional outgoing routing control parameters are extracted from the received outgoing SIP message. The outgoing SIP message is forwarded to a peer device using the one or more outgoing routing characteristics on the basis of the one or more extracted outgoing routing control parameters.