Presented herein are embodiments of a power-over-Ethernet (PoE) breakout system that may be used to breakout a PoE port from a PoE information handling system into a number of breakout ports. In one or more embodiments, a PoE breakout system comprises: a PoE port for connecting to a PoE information handling system, such as a PoE switch; a plurality of breakout ports for connecting to powered devices, wherein each breakout port is configured to supply power to a powered device; and a power management module electrically coupled to the PoE port and configured to supply power to each breakout port according to a configuration that sets a power level for that breakout port. In one or more embodiments. the PoE breakout system comprises a data communications module that switches data traffic to a correct PoE breakout port according to its intended powered device.

Described herein are systems, methods, and software to enhance the implementation of communication rules in a computing network. In one example, a method of operating a communication settings system maintains communication rules for a plurality of networks, wherein the communication rules define forwarding actions for ingress and egress packets to and from applications in the plurality of computing networks. The service further identifies a configuration request from a computing network with applications executing in the computing network, identifies a subset of the communication rules based on the plurality of applications, and provides the subset of the communication rules to the computing network.

Described herein are systems, methods, and software to enhance the implementation of communication rules in a computing network. In one example, a method of operating a communication settings system maintains communication rules for a plurality of networks, wherein the communication rules define forwarding actions for ingress and egress packets to and from applications in the plurality of computing networks. The service further identifies a configuration request from a computing network with applications executing in the computing network, identifies a subset of the communication rules based on the plurality of applications, and provides the subset of the communication rules to the computing network.

A system provisions global logical entities that facilitate the operation of logical networks that span two or more datacenters. These global logical entities include global logical switches that provide L2 switching as well as global routers that provide L3 routing among network nodes in multiple datacenters. The global logical entities operate along side local logical entities that are for operating logical networks that are local within a datacenter.

A system provisions global logical entities that facilitate the operation of logical networks that span two or more datacenters. These global logical entities include global logical switches that provide L2 switching as well as global routers that provide L3 routing among network nodes in multiple datacenters. The global logical entities operate along side local logical entities that are for operating logical networks that are local within a datacenter.

Technologies for switching network traffic include a network switch. The network switch includes one or more processors and communication circuitry coupled to the one or more processors. The communication circuity is capable of switching network traffic of multiple link layer protocols. Additionally, the network switch includes one or more memory devices storing instructions that, when executed, cause the network switch to receive, with the communication circuitry through an optical connection, network traffic to be forwarded, and determine a link layer protocol of the received network traffic. The instructions additionally cause the network switch to forward the network traffic as a function of the determined link layer protocol. Other embodiments are also described and claimed.

In one embodiment, a networking device in a network detects an traffic flow conveyed in the network via the networking device. The networking device generates flow data for the traffic flow. The networking device performs a classification of the traffic flow using the flow data as input to a machine learning-based classifier. The networking device performs a mediation action based on the classification of the traffic flow.

The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.

The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.

The concepts and technologies disclosed herein are directed to a network-assisted Raft consensus protocol, referred to herein as “NetRaft.” According to one aspect of the concepts and technologies disclosed herein, a system can include a plurality of servers operating in a server cluster, and a plurality of P4 switches corresponding to the plurality of servers. Each server of the plurality of servers can include a back-end that executes a complete Raft algorithm to perform leader election, log replication, and log commitment of a Raft consensus algorithm. Each P4 switch of the plurality of P4 switches can include a front-end that executes a partial Raft algorithm to perform the log replication and the log commitment of the Raft consensus algorithm. The back-end can maintain a complete state for responding to requests that cannot be fulfilled by the front-end. The requests can include read requests and/or write requests.