Patent classifications
G06F15/177
Mechanized modify/add/create/delete for network configuration
Techniques for mechanized modify/add/create/delete (MACD) for network configuration are provided. A method can include creating a data object from input data relating to a requested change to a target network configuration, the data object comprising a first parameter indicating a type of the requested change and a second parameter identifying the target network configuration; retrieving, from a repository according to a group of logical rules, executable instructions associated with the type of the requested change, as given by the first parameter of the data object, and the target network configuration, as given by the second parameter of the data object; and performing, further according to the group of logical rules, the requested change to the target network configuration, the performing of the requested change comprising executing the executable instructions retrieved from the repository.
Seamless multi-cloud routing and policy interconnectivity
Technologies for multi-cloud routing and policy interconnectivity are provided. An example method can include assigning different sets of data plane routers to data plane traffic associated with different address spaces in a cloud site of a multi-cloud fabric to yield a distributed mapping of data plane traffic and data plane routers. The method can further include providing, to an on-premises site in the multi-cloud fabric, routing entries from a control plane router on the cloud site, the routing entries reflecting the distributed mapping and identifying, for each address space, which data plane router handles data plane traffic for that address space; and when a data plane router is deployed at the cloud site, providing, to the on-premises site, updated routing information from the control plane router, the updated routing information identifying the data plane router as a next hop for data plane traffic associated with a respective address space.
Acceleration management node, acceleration node, client, and method
Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an algorithm type, an acceleration bandwidth or non-uniform memory access architecture (NUMA). The acceleration management node obtains an invocation request from a client. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.
Subsystem for configuration, security, and management of an adaptive system
An integrated circuit (IC) can include a processor system configured to execute program code, a programmable logic, and a platform management controller coupled to the processor system and the programmable logic. The platform management controller is adapted to configure and control the processor system and the programmable logic independently.
Predictive pipeline analytics for a network management system
A controller device includes a memory and one or more processors coupled to the memory. The memory stores instructions that, when executed, cause the one or more processors to receive a query indicating a first time and a network service, determine a first set of configuration elements using telemetry data associated with the first time and the network service, and determine a second set of configuration elements using an intent model. The instructions further cause the one or more processors to determine one or more first metrics that occur at the first time using the first set of configuration elements and the second set of configuration elements, determine one or more second metrics at a second time using telemetry data received from the plurality of network devices, and generate data representing a user interface presenting the one or more first metrics and the one or more second metrics.
Scalable runtime validation for on-device design rule checks
An apparatus to facilitate scalable runtime validation for on-device design rule checks is disclosed. The apparatus includes a memory to store a contention set, one or more multiplexors, and a validator communicably coupled to the memory. In one implementation, the validator is to: receive design rule information for the one or more multiplexers, the design rule information referencing the contention set; analyze, using the design rule information, a user bitstream against the contention set at a programming time of the apparatus, the user bitstream for programming the one or more multiplexors; and provide an error indication responsive to identifying a match between the user bitstream and the contention set.
Scalable runtime validation for on-device design rule checks
An apparatus to facilitate scalable runtime validation for on-device design rule checks is disclosed. The apparatus includes a memory to store a contention set, one or more multiplexors, and a validator communicably coupled to the memory. In one implementation, the validator is to: receive design rule information for the one or more multiplexers, the design rule information referencing the contention set; analyze, using the design rule information, a user bitstream against the contention set at a programming time of the apparatus, the user bitstream for programming the one or more multiplexors; and provide an error indication responsive to identifying a match between the user bitstream and the contention set.
Method and system for automatic configuration of a communications interface for a specialized data network of an aircraft
A method of automatic configuration of a communications interface of an unknown data network, the method comprising connecting an Electronic Flight Bag (EFB) to the unknown data network, attempting to open communication ports, in response to attempting to open communication ports, receiving data from the unknown data network, determining, by a controller module, if the selected communications interface can interpret the received data, and operating the communications interface of the EFB in accordance with the selected communications interface.
LOCATION-INDEPENDENT PROGRAMMING DATA PLANE FOR PACKET PROCESSING
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.
Server-side operations for edge analytics
Disclosed is a technique that can be performed by a server computer system. The technique can include obtaining data from each of multiple endpoint devices to form global data. The global data can be generated by the endpoint devices in accordance with local instructions in each of the endpoint devices. The technique further includes generating global instructions based on the global data and sending the global instructions to a particular endpoint device. The global instructions configure the particular endpoint device to perform a data analytic operation that analyzes events. The events can include raw data generated by a sensor of the particular endpoint device.