A system and method for onboarding a virtual machine in a bridge host extension mode are provided. The method includes: creating a virtual machine on a host computing device, wherein the host computing device is associated with a first MAC address and a first IP address; assigning the virtual machine a second MAC address by the host computing device; receiving a first DHCP packet from the virtual machine by the host computing device, wherein the first DHCP packet comprises a first field that includes the second MAC address; replacing the second MAC address in the first field with the first MAC address by the host computing device; adding the second MAC address to a second field of the first DHCP packet by the host computing device; and providing the first DHCP packet to a DHCP server through a network by the host computing device.

A processing system of an edge exchange point including at least one processor may receive, from a cloud service provider a request to allocate a first tag to communications between the cloud service provider and a first telecommunication network, transmit an acceptance of the request to allocate the first tag to the communications between the cloud service provider and the first telecommunication network, obtaining a first packet containing the first tag from the cloud service provider, and transmit the first packet to the first telecommunication network in accordance with the first tag.

A processing system of an edge exchange point including at least one processor may receive, from a cloud service provider a request to allocate a first tag to communications between the cloud service provider and a first telecommunication network, transmit an acceptance of the request to allocate the first tag to the communications between the cloud service provider and the first telecommunication network, obtaining a first packet containing the first tag from the cloud service provider, and transmit the first packet to the first telecommunication network in accordance with the first tag.

A wireless emergency stop system includes a machine safety device connected to a machine stop circuit for stopping operation of a machine when the machine stop circuit is activated. The machine safety device includes a wireless communication interface. The system also includes a mobile device controller configured to control operation of the machine, and a safety stop device. The safety stop device includes a wireless communication interface for wireless communication with the machine safety device, and an emergency stop switch configured to, when activated, transmit an emergency stop signal to the machine safety device to trigger an emergency stop of the machine. The mobile device controller is configured to link with the safety stop device via short-range wireless communication.

A wireless emergency stop system includes a machine safety device connected to a machine stop circuit for stopping operation of a machine when the machine stop circuit is activated. The machine safety device includes a wireless communication interface. The system also includes a mobile device controller configured to control operation of the machine, and a safety stop device. The safety stop device includes a wireless communication interface for wireless communication with the machine safety device, and an emergency stop switch configured to, when activated, transmit an emergency stop signal to the machine safety device to trigger an emergency stop of the machine. The mobile device controller is configured to link with the safety stop device via short-range wireless communication.

An apparatus comprising: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: receive (1400) a request to create context for a migrating node and optionally at least one child node of the migrating node; allocate (1402) addresses to the migrating node and optionally the at least one child node of the migrating node; and send (1404) the addresses allocated to the migrating node and optionally the at least one child node of the migrating node, prior to the migrating node migrating from a source to a target.

An apparatus comprising: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: receive (1400) a request to create context for a migrating node and optionally at least one child node of the migrating node; allocate (1402) addresses to the migrating node and optionally the at least one child node of the migrating node; and send (1404) the addresses allocated to the migrating node and optionally the at least one child node of the migrating node, prior to the migrating node migrating from a source to a target.

The technologies described herein are generally directed to communicating with dual-provisioned user equipment in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include receiving a sent electronic message from originating equipment addressed to a first identifier. The method can further include determining that a user equipment of the subscriber is identified via the first identifier and a second identifier. Further, the method can include determining that, based on a condition, the first identifier is unable to route the sent electronic message to the user equipment. Also, embodiments facilitate communicating a response electronic message to the originating equipment corresponding to a notice comprising an indication that the user equipment is also identified via the second identifier.

Embodiments of the present invention provide techniques, systems, and methods for crowdsourcing device recognition to collect device information and identification data from a limited number of network devices and then leverage the collected information with machine learning techniques to expand the starting set in way that the prediction of device attributes like device type, device brand, family and model can be applied on billions of devices.

Embodiments of the present invention provide techniques, systems, and methods for crowdsourcing device recognition to collect device information and identification data from a limited number of network devices and then leverage the collected information with machine learning techniques to expand the starting set in way that the prediction of device attributes like device type, device brand, family and model can be applied on billions of devices.