Systems may comprise a connectivity manager application operating on a User Equipment (UE) for optimal and secure performance of local applications and improving user experience by optimizing application performance (e.g., detecting data stall events). The systems may monitor incoming internet protocol (IP) packets for one or more applications operating on the UE. The connectivity manager application may detect a drop in a rate at which the IP packets are received over a period of time and determine to reregister and/or reattach to a different node within a network or at a new network.

Systems may comprise a connectivity manager application operating on a User Equipment (UE) for optimal and secure performance of local applications and improving user experience by optimizing application performance (e.g., detecting data stall events). The systems may monitor incoming internet protocol (IP) packets for one or more applications operating on the UE. The connectivity manager application may detect a drop in a rate at which the IP packets are received over a period of time and determine to reregister and/or reattach to a different node within a network or at a new network.

Embodiments of the invention are directed to a system, method, or computer program product for dynamic latency reduction through edge computation based on a multi-layered mechanism. In this regard, the invention is structured for proactive de-centralized monitoring and resolution of network issue events and cross-pollination of resolutions of network issue events between network components and dynamic reallocation of technology resources therebetween for load balancing. In some embodiments, the invention comprises an entity communication network comprising a plurality of network device groups, one or more edge nodes, and a central server system. The invention determines, via an edge node, a first resolution vector for a first network issue event. The invention is configured to implement, via a micro edge adaptor of a first component system, the first resolution vector at a component system.

Embodiments of the invention are directed to a system, method, or computer program product for dynamic latency reduction through edge computation based on a multi-layered mechanism. In this regard, the invention is structured for proactive de-centralized monitoring and resolution of network issue events and cross-pollination of resolutions of network issue events between network components and dynamic reallocation of technology resources therebetween for load balancing. In some embodiments, the invention comprises an entity communication network comprising a plurality of network device groups, one or more edge nodes, and a central server system. The invention determines, via an edge node, a first resolution vector for a first network issue event. The invention is configured to implement, via a micro edge adaptor of a first component system, the first resolution vector at a component system.

Improvement of data throughput via backhaul sharing is accomplished by accessing a cell site servicing data transmission at a first data rate and a connected backhaul network having a backhaul data rate. A determination of whether the first data rate exceeds the backhaul data rate is made and an excess data rate is determined. When the first data rate exceeds the backhaul data rate a neighboring cell site having a second backhaul networks is accessed. A determination is made of how much additional capacity the second backhaul network can handle. When the neighboring cell site can handle the excess data rate backhaul sharing using beamforming is initiated.

Improvement of data throughput via backhaul sharing is accomplished by accessing a cell site servicing data transmission at a first data rate and a connected backhaul network having a backhaul data rate. A determination of whether the first data rate exceeds the backhaul data rate is made and an excess data rate is determined. When the first data rate exceeds the backhaul data rate a neighboring cell site having a second backhaul networks is accessed. A determination is made of how much additional capacity the second backhaul network can handle. When the neighboring cell site can handle the excess data rate backhaul sharing using beamforming is initiated.

This disclosure provides systems, methods, and devices for network management. In a first aspect, a method of transmitting delay-sensitive data with multi-link operation includes receiving, at a first device, first data for transmission to a second device; packaging, by the first device, the first data for transmission to the second device in a first set of packets; packaging, by the first device, the first data for transmission to the second device in a second set of packets; transmitting, by the first device, at least a portion of the first set of packets on a first shared resource; and transmitting, by the second device, at least a portion of the second set of packets on a second shared resource. Other aspects and features are also claimed and described.

This disclosure provides systems, methods, and devices for network management. In a first aspect, a method of transmitting delay-sensitive data with multi-link operation includes receiving, at a first device, first data for transmission to a second device; packaging, by the first device, the first data for transmission to the second device in a first set of packets; packaging, by the first device, the first data for transmission to the second device in a second set of packets; transmitting, by the first device, at least a portion of the first set of packets on a first shared resource; and transmitting, by the second device, at least a portion of the second set of packets on a second shared resource. Other aspects and features are also claimed and described.

Embodiments of the present invention relate to a centralized network analytic device, the centralized network analytic device efficiently uses on-chip memory to flexibly perform counting, traffic rate monitoring and flow sampling. The device includes a pool of memory that is shared by all cores and packet processing stages of each core. The counting, the monitoring and the sampling are all defined through software allowing for greater flexibility and efficient analytics in the device. In some embodiments, the device is a network switch.

Embodiments of the present invention relate to a centralized network analytic device, the centralized network analytic device efficiently uses on-chip memory to flexibly perform counting, traffic rate monitoring and flow sampling. The device includes a pool of memory that is shared by all cores and packet processing stages of each core. The counting, the monitoring and the sampling are all defined through software allowing for greater flexibility and efficient analytics in the device. In some embodiments, the device is a network switch.