A trace network for debugging integrated circuits is disclosed. At least one functional network includes a plurality of components interconnected by a number of network switches, implemented on at least one integrated circuit. A trace network is also implemented on the at least one integrated circuit, and includes a plurality of trace circuits configured to generate trace data based on transactions between ones of the plurality of components. The plurality of trace circuits are coupled to one another by a plurality of trace network switches. The trace circuits are configured to convey the generated trace data to an interface, via the trace network, without using the at least one functional network.

According to one embodiment, there is provided a measuring apparatus including a measurement section and a control section. The measurement section is configured to acquire a response from a sample. The control section is configured to compare a loading obtained by performing principal component analysis in advance with a first evaluation-use loading obtained by performing principal component analysis onto the response acquired from the sample, and to generate a first reliability index for measurement using principal component analysis, in accordance with a comparison result.

An application monitoring infrastructure that enables application configuration changes on multiple machines across multiple OS types to be tracked by identifying data containers that are to be monitored for changes, detecting a change to a monitored data container, and storing data representative of a changed version of the monitored data container responsive to detecting that the monitored container was changed. The data containers that are to be monitored for changes are identified from templates, and a unique template is provisioned for each of the applications.

Systems, apparatuses, and methods for implementing telemetry push aggregation techniques are described. A computing system includes one or more input/output (I/O) agents interposed between functional units and a communication fabric. A given I/O agent receives a set of aggregation rules from a power management unit. The I/O agent monitors traffic from the functional units, and the I/O agent generates telemetry data from the traffic data based on the set of aggregation rules. The telemetry data is used by the power management unit to make adjustments to one or more power settings.

An event processing system for processing events in an event stream is disclosed. The system can execute instructions to receive a continuous query, apply a transformation to the continuous query to generate a query plan for the continuous query, transform the query plan using a transformation algorithm to generate a transformed query plan, receive a micro-batch stream of input events related to an application, process the input events of the micro-batch stream based at least in part on the transformed query plan to generate a set of output events related to the application, and store the set of output events related to the application in an output queue.

This application discloses a quantum gate optimization method performed by a computer device. The method includes: obtaining an initialized control external field corresponding to a quantum gate; applying the control external field to a quantum bit (qubit) corresponding to the quantum gate, and acquiring actual measurement data of the quantum gate, the actual measurement data being used for reflecting an actual characteristic of the quantum gate; calculating a gradient corresponding to the control external field based on the actual measurement data and ideal data, the ideal data being used for reflecting an ideal characteristic of the quantum gate; and updating the control external field according to the gradient to obtain an updated control external field, the updated control external field being applied to the qubit corresponding to the quantum gate to optimize precision of the quantum gate. The method is a closed-loop optimization solution driven and implemented by data feedback.

An application monitoring infrastructure that enables application configuration changes on multiple machines across multiple OS types to be tracked by identifying data containers that are to be monitored for changes, detecting a change to a monitored data container, and storing data representative of a changed version of the monitored data container responsive to detecting that the monitored container was changed. The data containers that are to be monitored for changes are identified from templates, and a unique template is provisioned for each of the applications.

A distributed maintainable real-time computer system is provided, wherein the real-time computer system includes at least two central computers and one, two or a plurality of peripheral computers. The central computers have access to a sparse global time, have identical hardware and identical software, but different startup data, wherein each functional central computer periodically sends time-triggered multi-cast life-sign messages to the other central computers according to a time plan a priori defined in its startup data, and wherein the peripheral computers (151, 152, 153, 154) can exchange messages (135) with the central computers (110, 120), and wherein at all times one central computer is in the active state and the other central computers are in the non-active state, and wherein after the apparent absence of a life-sign message of the active central computer expected at a planned reception time, that non-active functioning central computer which has the shortest start-up timeout takes over the function of the active central computer, and wherein each central computer (110, 120; 200) consists of three independent subsystems, an application computer (210), a storage medium having the startup data (230) characteristic of the central computer (200) and an internal monitor (220), wherein the internal monitor (220) periodically checks the correct functioning of the application computer (210), and wherein upon detection of an error the monitor (220) initiates a hardware reset and a restart of the application computer (210), and wherein preferably the active central computer initiates a maintenance action after an apparent absence of the life-sign messages expected at the planned reception times from a non-active central computer, which action can lead to the repair or replacement of a permanently failed central computer.

Techniques for automated application reliability management using adaptable machine learning models are disclosed. In one example, a computer-implemented method may include identifying cloud components of an application deployed in a cloud service platform, determining relationships between the cloud components of the application and between the cloud components and other applications to generate a plurality of sub-assemblies, determining dependencies among the plurality of sub-assemblies to generate a super-assembly, generating infrastructure as code for application cloud components of the super-assembly and the plurality of sub-assemblies using metadata of the application cloud components, and performing a management operation to create a cloud infrastructure of the application using the generated infrastructure as code and verifying reliability of the created application using an adaptable machine learning model.

In a relay device, a transmitting/receiving unit of an ECU relay receives data. A first counter value is incremented if an amount of data received by the transmitting/receiving unit per unit time exceeds a first threshold. A second counter value is incremented if the amount of data received by the transmitting/receiving unit per unit time exceeds a second threshold. The second threshold is greater than the first threshold. A control unit of a bus relay repeatedly monitors the first counter value. If the first counter value is incremented, the control unit shortens a cycle with which the second counter value is monitored.