Abstract: A device may receive information identifying a set of tasks to be executed by a microservices application that includes a plurality of microservices. The device may determine an execution time of the set of tasks based on a set of parameters and a model. The set of parameters may include a first parameter that identifies a first number of instances of a first microservice of the plurality of microservices, and a second parameter that identifies a second number of instances of a second microservice of the plurality of microservices. The device may compare the execution time and a threshold. The threshold may be associated with a service level agreement. The device may selectively adjust the first number of instances or the second number of instances based on comparing the execution time and the threshold.

Abstract: The invention relates to a fault transient features optimization method and system of AC/DC system based on dissipated energy, which belongs to the HVDC transmission technology and is used to solve the problem that the DC pulsed current is too high and the generator power angle swing of the AC system on the rectifier side is too large during the process of the HVDC transmission system restart on fault.

Abstract: A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.

Abstract: An example data center system includes server devices hosting data of a first tenant and a second tenant of the data center, network devices of an interconnected topology coupling the server devices including respective service virtual routing and forwarding (VRF) tables, and one or more service devices that communicatively couple the network devices, wherein the service devices include respective service VRF tables for the first set of server devices and the second set of server devices, and wherein the service devices apply services to network traffic flowing between the first set of server devices and the second set of server devices using the first service VRF table and the second service VRF table.

Abstract: A device may receive information identifying a set of tasks to be executed by a microservices application that includes a plurality of microservices. The device may determine an execution time of the set of tasks based on a set of parameters and a model. The set of parameters may include a first parameter that identifies a first number of instances of a first microservice of the plurality of microservices, and a second parameter that identifies a second number of instances of a second microservice of the plurality of microservices. The device may compare the execution time and a threshold. The threshold may be associated with a service level agreement. The device may selectively adjust the first number of instances or the second number of instances based on comparing the execution time and the threshold.

Abstract: Techniques are disclosed for promulgating service information and topology information in a network in a high availability manner. An example device is configured to create a first service and topology exchange protocol (STEP) document. The first STEP document includes service information and topology information. The example device is configured to send the first STEP document to a first STEP repository for forwarding to at least one subscribing network device. The example device is also configured to send the first STEP document to a second STEP repository for forwarding to the at least one subscribing network device.

Abstract: A laser radar and an intelligent vehicle are provided, and may be specifically applied to the field of intelligent vehicles. The laser radar may include: a laser, configured to generate a laser signal; a beam shaping module, configured to perform collimation on the laser signal (step 300); a beam splitting module, configured to perform beam splitting on a laser signal to obtain a sounding signal and a local-frequency signal (step 301); a receiving module, configured to receive echo information and transmit the echo signal to an optical frequency mixing module (step 302); the optical frequency mixing module, configured to perform optical frequency mixing on the local-frequency signal and the echo information to obtain a first beat frequency signal and a second beat frequency signal (step 303); and a differential receiving unit, configured to differentially receive the first beat frequency signal and the second beat frequency signal.

Abstract: A radar detection method includes intercepting a plurality of measurement units (MUs) from a beat frequency signal of a radar based on a time domain sliding step, where a time domain length of each of the plurality of MUs is greater than a time domain length of a preset sliding step; determining frequency information of each MU; and obtaining a radar point cloud detection result based on the frequency information of each MU, where the detection result includes at least one of a speed of a target object or a distance of the target object.

Abstract: A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.

Abstract: A radar detection method includes transforming a beat frequency signal of a radar into a two-dimensional spectrogram; intercepting, based on a time domain sliding step, a plurality of measurement units (MUs) whose time domain lengths are equal to a frequency modulation period of the radar from the two-dimensional spectrogram, where a length of the time domain sliding step is less than the frequency modulation period of the radar; and determining a radar detection result based on each of the plurality of MUs.

Abstract: The present application provides a method and system for identifying extreme climate events. The method acquires climate index (CI) grid data of a to-be-identified region within an extreme climate time period, and gradually expands each of event centers in the to-be-identified region, until CI values of all grids adjacent to the event center are not greater than a CI threshold. The method can obtain extreme climate impacted areas of extreme climate events in the to-be-identified region, and can further obtain CI intensities of the extreme climate events by average calculation. The method can obtain three pieces of dimension information on each of the extreme climate events in the to-be-identified region, including an extreme climate impacted area, a CI intensity and a duration. Therefore, the method can identify the extreme climate events more comprehensively.

Abstract: A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.

Abstract: A method for flood disaster monitoring and disaster analysis based on vision transformer is provided. It includes: step (1), constructing a bi-temporal image change detection model based on vision transformer; step (2), selecting bi-temporal remote sensing images to make flood disaster labels; and step (3), performing flood monitoring and disaster analysis according to the bi-temporal image change detection model constructed in the step (1). In combination with the bi-temporal image change detection model based on an advanced vision transformer in deep learning and radar data which is not affected by time and weather and has strong penetration ability, data when floods occur can be obtained and recognition accuracy is improved.

Abstract: A device may receive information identifying a set of tasks to be executed by a microservices application that includes a plurality of microservices. The device may determine an execution time of the set of tasks based on a set of parameters and a model. The set of parameters may include a first parameter that identifies a first number of instances of a first microservice of the plurality of microservices, and a second parameter that identifies a second number of instances of a second microservice of the plurality of microservices. The device may compare the execution time and a threshold. The threshold may be associated with a service level agreement. The device may selectively adjust the first number of instances or the second number of instances based on comparing the execution time and the threshold.

Abstract: A device may receive information identifying a set of tasks to be executed by a microservices application that includes a plurality of microservices. The device may determine an execution time of the set of tasks based on a set of parameters and a model. The set of parameters may include a first parameter that identifies a first number of instances of a first microservice of the plurality of microservices, and a second parameter that identifies a second number of instances of a second microservice of the plurality of microservices. The device may compare the execution time and a threshold. The threshold may be associated with a service level agreement. The device may selectively adjust the first number of instances or the second number of instances based on comparing the execution time and the threshold.

Abstract: Methods, devices, and systems for full-duplex transmission are provided. In one aspect, a method can include: sending, by a first node, access request information to a second node in a first access timeslot, receiving, by the first node, full-duplex feedback information sent by the second node, receiving, by the first node, a target identifier sent by the second node, the full-duplex feedback information indicating that the first access timeslot is in a successful state, and determining, by the first node, a target queue location of the first node associated with a conflict resolution queue in response to at least one of: determining that the target identifier is different from an identifier of the first node, or determining that the full-duplex feedback information indicates that the first access timeslot is in an idle state.

Abstract: In general, techniques are described for defining and executing device-independent commands on a network having a plurality of network devices. In some examples, a controller includes a graphical user interface. The controller displays, via the graphical user interface, network devices that support a device-independent command selected from one or more device-independent commands, wherein each device-independent command performs one or more operations on supported network devices. The controller receives, via the graphical user interface, user input selecting two or more of the displayed network devices and performs the one or more operations of the selected device-independent command on the selected network devices. In some examples, performing includes executing tasks associated with each network device, wherein the tasks, when executed, perform the one or more operations on each respective network device.

Abstract: Techniques are disclosed for providing a Software Defined Networking (SDN) controller with real-time or near-real time visibility of the operation of data center fabrics to determine whether the DCI was properly configured. For example, an SDN controller receives high-level configuration data that describes a desired state of a network managed by the SDN controller at a high level of abstraction. The SDN controller applies a transformation function to the high-level configuration data to generate a low-level configuration data for network devices configured to implement the desired state of the network. SDN controller configures the SDN controller as a peer to the network devices to obtain one or more routes exchanged between the network devices. The SDN controller sends the low-level configuration data to the network devices to cause the network devices to implement the desired state of the network.

Abstract: A method includes: determining, a first pixel in a receiving field of view of a radar and N sampling point sets in an echo signal corresponding to the first pixel; estimating an estimated distance between the radar and a target object based on each first sampling point set of the N sampling point sets, and determining, based on each estimated distance, M cumulative receiving fields of view in a one-to-one correspondence with M data frames; determining a second sampling point set in echo signals corresponding to Q neighboring pixels, and superposing each first sampling point set and the corresponding second sampling point set to obtain an echo signal that corresponds to the first pixel and that is obtained; and calculating an actual distance between the radar and the target object based on the echo signal obtained after superposition processing.

Abstract: A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.