A control method includes sending, by a controller, a created context-aware model to a context-aware engine. The context-aware model is used to define a preset control performed when target data meets a trigger condition and to instruct the context-aware engine to send indication information to the controller when the context-aware engine determines that the target data meets the trigger condition. The preset control is used to implement a context-aware function. The indication information is used to indicate that the target data meets the trigger condition. The method also includes receiving, by the controller, the indication information. The method further includes performing, by the controller, the preset control based on the indication information.

Identifying Internet of Things (IoT) devices with packet flow behavior including by using machine learning models is disclosed. Information associated with a network communication of an IoT device is received. A determination of whether the IoT device has previously been classified is made. In response to determining that the IoT device has not previously been classified, a determination is made that a probability match for the IoT device against a behavior signature exceeds a threshold. Based at least in part on the probability match, a classification of the IoT device is provided to a security appliance configured to apply a policy to the IoT device.

Techniques are described for sharing prepopulated container image caches among container execution environments to improve the performance of container launches. The container images used to prepopulate such a cache at a computing device supporting one or more container execution environments can include various container images that are used as the basis for a wide range of user-created containers such as, for example, container images representing popular operating system distributions, database servers, web-application frameworks, and so forth. Existing systems typically obtain these container images as needed at runtime when launching containers (for example, from a container registry or other external source), often incurring significant overhead in the container launch process. The use of a prepopulated container image cache can significantly improve the performance of container launches by making such commonly used container images available to container execution environments running at a computing device ahead of time.

Techniques are disclosed for efficient communications over a network path between an accelerator of a smart network interface card (smartNIC) and a remote programming data plane of a remote device. In one example, the accelerator receives an instruction to register a pairing between the accelerator and the remote programming data plane, and then stores registration data indicating the pairing. The accelerator then receives from the remote programming data plane a second instruction associated with processing one or more flows. The accelerator then stores instruction data corresponding to the second instruction based on confirming the registered pairing with the remote programming data plane. Subsequently, the accelerator receives a data packet and processes the data packet in accordance with the stored instruction data. In some embodiments, the accelerator may transmit packets to the pair remote programming data plane, for example, requesting further instructions associated with processing a packet.

Disclosed are a network control device and an operation method of the network control device for dynamically constructing an end-to-end virtual dedicated network slice based on a software-defined network (SDN) over the entire wired and wireless network section of a private network and a public network.

Disclosed are a network control device and an operation method of the network control device for dynamically constructing an end-to-end virtual dedicated network slice based on a software-defined network (SDN) over the entire wired and wireless network section of a private network and a public network.

Some embodiments provide method for implementing a logical router of a logical network. The method receives a configuration for a first logical router. The configuration includes a static route for the first logical router. The method defines several routing components with separate routing tables for the logical router. The method adds a first route, having a first static route type, for the static route to the routing tables of at least a first subset of the routing components. Based on the connection of a second logical router to the first logical router, adding a second route, having a second static route type, to the routing tables of at least a second subset of the routing components.

An endpoint computing device multi-network slice remediation/productivity system includes a core network system coupled to a RAN system and configured to allocate network slices and make them available for use in wireless communications via the RAN system. While operating in a pre-boot environment, an endpoint computing device determines that it is unable to transition to operating in a runtime environment and, in response, establishes a remediation network connection with a first network slice, and establishes a productivity network connection with a second network slice. While operating in a pre-boot environment and performing the remediation operations, the endpoint computing device then performs remediation operations via remediation wireless communications over the remediation network connection with the first network slice, and provides access to productivity application(s) that are configured to allow a user to perform productivity operations via productivity wireless communications over the productivity network connection with the second network slice.

Technology is disclosed for a Third Generation Partnership Project (3GPP) management system operable for peer-to-peer (P2P) edge computing in a fifth generation (5G) computing network. The 3GPP management system can be configured to: identify a user plane function (UPF) based on quality of service (QoS) requirements. The 3GPP management system can be configured to request, from an edge computing management system, deployment of an application server (AS). The 3GPP management system can be configured to request a network functions virtualization (NFV) orchestrator (NFVO) to connect the UPF and the AS based on the QoS requirements.

A cloud management server and method for performing automatic placement of clients in a distributed computer system uses a list of compatible clusters to select an affinity cluster to place the clients associated with an affinity constraint. As part of the placement method, a cluster that cannot satisfy any anti-affinity constraint associated with the clients and the affinity constrain is removed from the list of compatible clusters. After the affinity cluster has been selected, at least one cluster in the distributed computer system is also selected to place clients associated with an anti-affinity constraint.