H04L67/1036

Partitioning health monitoring in a global server load balancing system

Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

Partitioning health monitoring in a global server load balancing system

Some embodiments provide a novel method of performing health monitoring for resources associated with a global server load balancing (GSLB) system. This system is implemented by several domain name system (DNS) servers that perform DNS services for resources located at several geographically separate sites. The method identifies several different groupings of the resources. It then assigns the health monitoring of the different resource groups to different DNS servers. The method then configures each particular DNS server (1) to send health monitoring messages to the particular group of resources assigned to the particular DNS server, (2) to generate data by analyzing responses to the sent health monitoring messages, and (3) to distribute the generated data to the other DNS servers. The method in some embodiments is performed by a set of one or more controllers.

System and method of dynamic and scalable IoT framework

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].

Virtual communications assessment system in a multimedia environment

A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

Virtual communications assessment system in a multimedia environment

A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

ELASTIC OUTBOUND GATEWAY
20180007002 · 2018-01-04 ·

In general, in an aspect, a method for providing an outbound gateway protection includes provisioning one or more worker gateways located in a first gateway virtual private cloud, the one or more worker gateways sharing configuration data with the controller gateway, provisioning one or more load balancer gateways in one or more client virtual clouds, the one or more client virtual clouds each comprising one or more clients, the one or more load balancer gateways distributing client requests among the worker gateways, assigning groups of the one or more clients to one of the one or more load balancer gateways based on requests from a majority of the worker gateways, and communicating outbound network traffic from the clients via the assigned load balancer gateways.

Bootstrapping devices on a network

Methods for operating a device and for managing bootstrapping of devices are disclosed. The method (100) for operating a device comprises computing (102) a derivative of a secret shared between the device and a server entity of a network, generating (104) a temporary bootstrap URI by combining at least a part of the computed derivative with a static bootstrap URI for the network, and sending (106) a bootstrap request to the temporary bootstrap URI. The method for managing bootstrapping of devices comprises generating temporary bootstrap URIs corresponding to devices operable to connect to a network, and updating a network DNS registry to map the generated temporary bootstrap URIs to the IP address of at least one of a bootstrap server instance reachable via the network and/or a bootstrap load balancer. Also disclosed are a device, a bootstrap load balancer, a bootstrap server, and a computer program.

Bootstrapping devices on a network

Methods for operating a device and for managing bootstrapping of devices are disclosed. The method (100) for operating a device comprises computing (102) a derivative of a secret shared between the device and a server entity of a network, generating (104) a temporary bootstrap URI by combining at least a part of the computed derivative with a static bootstrap URI for the network, and sending (106) a bootstrap request to the temporary bootstrap URI. The method for managing bootstrapping of devices comprises generating temporary bootstrap URIs corresponding to devices operable to connect to a network, and updating a network DNS registry to map the generated temporary bootstrap URIs to the IP address of at least one of a bootstrap server instance reachable via the network and/or a bootstrap load balancer. Also disclosed are a device, a bootstrap load balancer, a bootstrap server, and a computer program.

SYSTEM AND METHOD OF DYNAMIC AND SCALABLE IoT FRAMEWORK

A method and a system for providing one or more services to one or more user devices

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].

Control of offloading of calculation tasks in multi-access edge computing

Method for offloading calculation tasks between a user terminal and an edge host device in a communication network according to a multi-access edge computing technique, including steps of: Offloading data necessary for the execution of the calculation from the user terminal to the edge host device, and Transmitting data resulting from the calculation carried out by the edge host device, from the edge host device to the user terminal, wherein the offloading of data is controlled on the basis of joint criteria of energy efficiency and of minimization of exposure of a user of the user terminal to electromagnetic fields.