Abstract: Particular embodiments may detect, by a core network, a change in network traffic types from a first network traffic type to a second network traffic type. The core network includes one or more network functionality components. Each of the one or more network functionality components is decomposed into multiple service types. The core network may determine several service instances for deployment in response to the change in the network traffic types. Each of the service instances may belong to one of the multiple decomposed service types. The core network may deploy several service instances to one or more server machines of the core network according to a decomposed service type of a respective service instance.

Abstract: Particular embodiments may detect, by a core network, a change in network traffic types from a first network traffic type to a second network traffic type. The core network includes one or more network functionality components. Each of the one or more network functionality components is decomposed into multiple service types. The core network may determine several service instances for deployment in response to the change in the network traffic types. Each of the service instances may belong to one of the multiple decomposed service types. The core network may deploy several service instances to one or more server machines of the core network according to a decomposed service type of a respective service instance.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify service instances for deployment based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The service instances may be deployed to one or more server machines to accomplish the task by the core network based on resource requirements of the service instances and current resource availability of the one or more server machines.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify service instances for deployment based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The service instances may be deployed to one or more server machines to accomplish the task by the core network based on resource requirements of the service instances and current resource availability of the one or more server machines.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify a sequence of a service instances based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The sequence of service instances may be scheduled for deployment to accomplish the task by the core network. The core network may deploy the sequence of the service instances to one or more server machines of the core network.

Abstract: Particular embodiments may receive a request to perform a task to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may identify a sequence of a service instances based on the task. Each of the service instances may belong to one of the multiple decomposed service types. The sequence of service instances may be scheduled for deployment to accomplish the task by the core network. The core network may deploy the sequence of the service instances to one or more server machines of the core network.

Abstract: Particular embodiments may communicate to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may receive a user task associating with service instances. Each of the service instances may belong to one of the multiple decomposed service types and be configured by a service chaining orchestration entity. The service instances may be deployed to one or more of server machines of the core network with respect to the configurations of the service instances, by a service chaining orchestration entity. The capacity of the core network may be scaled up or down by network dimensioning.

Abstract: Example implementations may relate to an occupancy sensing system. For example, the occupancy sensing system may collect connection data and traffic data related to electronic devices that connect to the networking device. The occupancy sensing system may determine a number of resident devices and a number of high-traffic devices, based on the connection data or the traffic data. The occupancy sensing system may determine a number of the electronic devices that are coactive within an analysis time window, and may constrain the number of coactive electronic devices to a range from the number of high-traffic devices to the number of resident devices to generate an occupancy value.

Abstract: Particular embodiments may communicate to a core network by a user device via an access point. The user device may be authenticated by the core network which comprises one or more network functionality components, and each of the one or more network functionality components may be decomposed into multiple service types. The core network may receive a user task associating with service instances. Each of the service instances may belong to one of the multiple decomposed service types and be configured by a service chaining orchestration entity. The service instances may be deployed to one or more of server machines of the core network with respect to the configurations of the service instances, by a service chaining orchestration entity. The capacity of the core network may be scaled up or down by network dimensioning.

Abstract: In one example, a system for device throughput determination includes a monitor engine to monitor an average packet size at a node of a cellular network designated for a device and a channel quality between the device and the node of the cellular network, a classification engine to classify the device based on the monitored average packet size at the node designated for the device and the channel quality, a prediction engine to predict a throughput for the device over a quantity of future transmission time intervals (TTI) based on the classification of the device and a number of resources requested by the device over a period of time.

Abstract: In some examples, a non-transitory machine-readable storage medium having stored thereon machine-readable instructions to cause a processing resource to determine a intra coded bitrate of a captured video, determine a stutter ratio of the captured video, and estimate a video quality of experience based on the intra coded bitrate and the stutter ratio of the captured video.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: Example implementations may relate to an occupancy sensing system. For example, the occupancy sensing system may collect connection data and traffic data related to electronic devices that connect to the networking device. The occupancy sensing system may determine a number of resident devices and a number of high-traffic devices, based on the connection data or the traffic data. The occupancy sensing system may determine a number of the electronic devices that are coactive within an analysis time window, and may constrain the number of coactive electronic devices to a range from the number of high-traffic devices to the number of resident devices to generate an occupancy value.

Abstract: In one example, a system for device throughput determination includes a monitor engine to monitor an average packet size at a node of a cellular network designated for a device and a channel quality between the device and the node of the cellular network, a classification engine to classify the device based on the monitored average packet size at the node designated for the device and the channel quality, a prediction engine to predict a throughput for the device over a quantity of future transmission time intervals (TTI) based on the classification of the device and a number of resources requested by the device over a period of time.

Abstract: Examples include deterrence of user equipment (UE) device location tracking. Some examples include a core network device of a telecommunication network having a processing resource and a machine-readable storage medium with instructions executable by the processing resource to receive a first service request message from the UE device that includes a pseudo-Globally Unique Temporary Identifier (p-GUTI), to send a paging message that includes the p-GUTI, and to receive a second service request message from the UE device that includes a new p-GUTI based on the p-GUTI of the first service request message matching the p-GUTI of the paging message.

Abstract: Examples include deterrence of user equipment (UE) device location tracking. Some examples include a core network device of a telecommunication network having a processing resource and a machine-readable storage medium with instructions executable by the processing resource to receive a first service request message from the UE device that includes a pseudo-Globally Unique Temporary Identifier (p-GUTI), to send a paging message that includes the p-GUTI, and to receive a second service request message from the UE device that includes a new p-GUTI based on the p-GUTI of the first service request message matching the p-GUTI of the paging message.

Abstract: An example device in accordance with an aspect of the present disclosure includes a launch engine and an offload engine. The launch engine is to request a resource predictor based on analysis of collected resource usage information. The offload engine is to compare resource availability at the device to predicted resource usage indicated in the resource predictor, and offload at least a portion of resource usage.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.