Methods, apparatus, systems and articles of manufacture are disclosed to control processing of telemetry data at an edge platform. An example apparatus includes an orchestrator interface to, responsive to an amount of resources allocated to an orchestrator to orchestrate a workload at the edge platform meeting a first threshold, transmit telemetry data associated with the orchestrator to a computer to obtain a first orchestration result at a first granularity; a resource management controller to determine a second orchestration result at a second granularity to orchestrate the workload at the edge platform, the second granularity finer than the first granularity; and a scheduler to schedule a workload assigned to the edge platform based on the second orchestration result.

The invention relates to method and devices of enabling determination of overall Quality of Service (QoS) of at least one Internet of Things (IoT) device. In an aspect of the invention, a method of a network node (10a) is provided of enabling determining of an overall QoS of at least one IoT device. The method comprises transmitting (S101), to a device connectivity middleware (DCM) node (14), an identifier of said at least one IoT device (11a) for which a QoS measure is to be acquired, receiving (S102), from the DCM node (14), a network profile of the IoT device (11a) associated with said identifier, transmitting (S103), to a Service Capability Exposure Function (SCEF, 15), a request for the QoS measure of the IoT device (11a) for the received network profile, the SCEF (15) acquiring the QoS measure from a Policy and Charging Control (PCC) function (16), receiving (S106), from the SCEF, the requested QoS measure of the IoT device (11a), transmitting (S107), to a Lightweight Machine-to-Machine (LWM2M) device (13), a request for availability information for said at least one IoT device (10a), and receiving (S108), from the LWM2M device (13), the requested availability information, wherein the received QoS measure and the availability information is taken into account for determining the overall QoS of said at least one IoT device (11a).

A defense suite for an industrial control system (ICS) network is disclosed. The defense suite is installed and executed on a network server hosting the human-machine interface (HMI) function of the network, thereby gaining communication privileges of the HMI server to query and perform other operations with programmable logic controllers (PLCs) and other assets of the network. The defense suite further comprises a network protection engine (NWPE) that alerts a defense suite user of suspicious activity in the network. Normal behavior of the network is obtained by a learning engine, during a learning period. The learning engine can be reactivated after a configuration change in the network. The data suite also comprises an operating system protection engine (OSPE), for preventing removable devices from accessing the HMI server and a preventing execution of unauthorized executables. The OSPE is also trained for which programs are authorized through its own program discovery module.

A computer system includes a BMC and a host of the BMC. The BMC receives a first message from a first remote device on a management network. The BMC determines whether the first message is directed to a storage service or fabric service executed on a main processor of a storage controller of the host. The host is a storage device. The storage controller includes an RDMA controller in communication with the main processor through an internal communication channel of the storage controller. The RDMA controller is managed by the storage service. The BMC extracts a service management command from the first message, when the first message is directed to the storage service or fabric service. The BMC sends, through a BMC communication channel established for communicating baseboard management commands between the BMC and the host, a second message containing the service management command to the host.

Various approaches for deployment and use of configurable edge computing platforms are described. In an edge computing system, an edge computing device includes hardware resources that can be composed from a configuration of chiplets, as the chiplets are disaggregated for selective use and deployment (for compute, acceleration, memory, storage, or other resources). In an example, configuration operations are performed to: identify a condition for use of the hardware resource, based on an edge computing workload received at the edge computing device; obtain, determine, or identify properties of a configuration for the hardware resource that are available to be implemented with the chiplets, with the configuration enabling the hardware resource to satisfy the condition for use of the hardware resource; and compose the chiplets into the configuration, according to the properties of the configuration, to enable the use of the hardware resource for the edge computing workload.

A computer system includes a BMC and a host of the BMC. The BMC redirect, through a BMC communication channel, a local media including a disk management tool to a host of the BMC as a particular drive. The host is a storage device connected to one or more storage drives. The disk management tool is configured to prepare a storage area of the one or more storage drives for installation of storage service on the host. The storage service managing a RDMA controller at the host. The BMC configures the host to boot from the particular drive. The BMC sends a first instruction to the host instructing the BMC to reboot. The BMC receives from the host a command for reading the disk management tool. The BMC sends the disk management tool to the host.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

A device in an evolved packet core (EPC) which includes a processor and a memory. The processor effectuates operations including receiving, from one or more devices residing within a customer premise equipment (CPE) portion of a telecommunications network, sensor data associated with one or more customers and in response to receiving the sensor data, generating a data request for an ecosystem status for the CPE portion of the telecommunications network. The processor further effectuates operations including obtaining customer information for the one or more customers and creating an analytics environment, using the customer information, for the one or more customers. The processor further effectuates operations including performing, within the analytics environment, analytics on the sensor data to determine a state of the CPE portion of the telecommunications network for the one or more customers and in response to performing analytics on the sensor data, optimizing the telecommunications network.

A network communication system may include intelligent electronic devices (IEDs) in a ring communication network. A software-defined networking device may be programmed by a removable or disconnectable software-defined network (SDN) controller to control the flow path of data packets to the IEDs in the ring network. The software-defined networking device may inspect a data packet intended for a first IED to determine that the inspected data packet requests a responsive data packet from the first IED. A flow path failure may be identified based on a failure to detect a responsive data packet from the first IED within an expected response time.