Abstract: A pod deployment method is provided, to increase container deployment flexibility, and meet an access requirement of a user, including: A scheduler obtains requirement information and a pod annotation from an application management cluster. The requirement information includes a time period and a user quantity corresponding to the time period, and the pod annotation indicates a user quantity supported by a single pod. The scheduler determines, based on the user quantity corresponding to the time period and the user quantity supported by the single pod, a quantity M of pods that need to be deployed in the time period, and determines a target node used to deploy the M pods. The scheduler generates a deployment plan based on the quantity M of pods that need to be deployed in the time period and the target node used to deploy the M pods.

Abstract: A holographic 3D display system based on virtual array splicing of a spatial light modulator includes a laser configured to generate a coherent light beam, first, second and third beam splitters, first and second reflectors, a shutter array, a spatial filter array, a solid lens, first and second light beam deflection elements and a spatial light modulator. The first and second beam splitters and the first reflector are configured to split the light beam generated by the laser into three parallel light beams to irradiate the shutter array. The shutter array is configured to control the three parallel light beams to sequentially pass therethrough according to a set time sequence. The three parallel light beams passing through the shutter array are expanded and collimated by the spatial filter array and the solid lens to form three parallel light beams with the same size and uniform intensity.

Abstract: The present disclosure relates to instance deployment methods, apparatuses, cloud systems, computing devices, and storage mediums. One example method includes obtaining a resource requirement of a service, and deploying instances of the service across a central cloud and an edge cloud based on the resource requirement of the service. In the example method, global resources of the central cloud and the edge cloud are scheduled in combination.

Abstract: A resource scheduling apparatus receives a first resource reservation request and a second resource reservation request, and reserves a first elastic resource for a first tenant and a second resource for a second tenant in a cloud infrastructure. The resource scheduling apparatus receives a resource allocation request requesting to allocate a resource to the first tenant, and when determining that a quantity of resources requested by the resource allocation request is greater than a quantity of first elastic resources reserved by the resource scheduling apparatus for the first tenant in advance, allocates a resource to the first tenant from the second elastic resource.

Abstract: In a streaming media transmission method, a streaming media server receives a first message sent by a terminal device. The first message includes a streaming media identifier, and the first message is used to request streaming media corresponding to the streaming media identifier. The streaming media server processes the streaming media based on scalable video coding SVC to obtain at least one data stream. The streaming media server determines quality of service QoS for each data stream. The streaming media server sends a second message to a first edge streaming media server. The second message includes the QoS of each of the at least one data stream, and the second message indicates the first edge streaming media server to transmit the at least one data stream to the terminal device by using a resource corresponding to the QoS of each data stream.

Abstract: A method may include obtaining an image of a scene from a first perspective, the image including an object, and detecting the object in the image using a machine learning process, where the object may be representative of a known shape with at least four vertices at a first set of points. The method may also include automatically predicting a second set of points corresponding to the at least four vertices of the object in a second perspective of the scene based on the known shape of the object. The method may additionally include constructing, without user input, a transformation matrix to transform a given image from the first perspective to the second perspective based on the first set of points and the second set of points.

Abstract: A method for processing a cloud service in a cloud system, wherein the cloud system includes a hosted cloud, an allied cloud, and an alliance management apparatus, wherein the hosted cloud includes a first region, the allied cloud includes a second region, the hosted cloud further provides a virtual region for a user, and the virtual region is mapped by the second region on the hosted cloud. The alliance management apparatus enables a user of the hosted cloud to obtain unified experience when the user accesses the first region and the virtual region in the cloud system, for example, unified experience in control interface access, and unified experience in application programming interface (API) access.

Abstract: A method may include obtaining a first image of a first view. The first illustrated by the first image may be defined by one or more viewing parameters. The method may also include acquiring, from a machine learning system, a location of an object within the first image, calculating a relative position of the object within the first image using the location of the object within the first image, and determining whether the relative position of the object satisfies a condition. In response to the relative position of the object not satisfying the condition, at least one of the viewing parameters may be adjusted based on the relative position of the object and the condition. The method may further include obtaining a second image of a second view. The second view illustrated by the second image may be defined by the adjusted at least one of the viewing parameters.

Abstract: A client obtains resource requirement information of an application APP running on a terminal device, where the resource requirement information is used to indicate a resource requirement of the APP; the client sends the resource requirement information to a cloud resource scheduling system; the client receives resource allocation information from the cloud resource scheduling system, where the resource allocation information includes information about at least one compute instance allocated by the cloud resource scheduling system based on the resource requirement information, and the at least one compute instance is deployed on at least one far-side site managed by the cloud resource scheduling system; and during running of the APP, the client sends some processing tasks of the APP to the at least one compute instance, and receives results of processing the some processing tasks of the APP by the at least one compute instance.

Abstract: Systems and methods including identifying a physical intelligent moving object (IMO), the physical IMO associated with a current location and a service request; creating, from a digital representation template that is based on the service request, a digital representation instance of the physical IMO in a particular edge cloud of a distributed cloud computing environment that is closest to the current location of the physical IMO; in response to creating the digital representation instance, establishing a network connection between the digital representation and the physical IMO using the particular edge cloud; detecting a movement of the physical IMO from coverage of the particular edge cloud; in response to detecting the movement of the physical IMO: identifying a target edge cloud of the distributed cloud computing environment for coverage of the physical IMO; and establishing a network connection between the digital representation and the physical IMO using the target edge cloud.

Abstract: Systems and methods for identifying physical intelligent moving objects (IMOs); creating, for a first subset of the physical IMOs, digital representations in edge clouds of a distributed cloud computing environment, each digital representation representative of a physical IMO of the first subset of the physical IMOs; generating a cooperative network computing (CNC) platform that includes the digital representations of the first subset of the physical IMOs, each digital representation functioning as a CNC entity in the CNC platform for the corresponding physical IMO; identifying a CNC task of a first physical IMO of the plurality of physical IMOs; and performing, by a first digital representation of the representations that corresponds to the first physical IMO, the CNC task in the CNC platform, including accessing data associated with a second digital representation of the digital representations in the CNC platform to perform the CNC task at the first digital representation.

Abstract: A method may include obtaining an image of a scene from a first perspective, the image including an object, and detecting the object in the image using a machine learning process, where the object may be representative of a known shape with at least four vertices at a first set of points. The method may also include automatically predicting a second set of points corresponding to the at least four vertices of the object in a second perspective of the scene based on the known shape of the object. The method may additionally include constructing, without user input, a transformation matrix to transform a given image from the first perspective to the second perspective based on the first set of points and the second set of points.

Abstract: A method for processing a cloud service in a cloud system, wherein the cloud system includes a hosted cloud, an allied cloud, and an alliance management apparatus, wherein the hosted cloud includes a first region, the allied cloud includes a second region, the hosted cloud further provides a virtual region for a user, and the virtual region is mapped by the second region on the hosted cloud. The alliance management apparatus enables a user of the hosted cloud to obtain unified experience when the user accesses the first region and the virtual region in the cloud system, for example, unified experience in control interface access, and unified experience in application programming interface (API) access.

Abstract: In an example application instance deployment method, a global management platform receives quality of service (QoS) requirement information from a first client. The QoS requirement information includes a first delay requirement, a second delay requirement, and a first quantity of connections. The second delay requirement is better than the first delay requirement, and the QoS requirement information is entered by a first user to the first client. The global management platform selects a first available site that meets the first delay requirement from managed sites. The global management platform deploys one or more first application instances on the first available site. A quantity of connections that can be established to the first application instance is less than the first quantity of connections.

Abstract: Systems and methods for provisioning real-time three-dimensional maps, including: at a first processing stage: updating a three-dimensional map of an environment based on received point cloud data; extracting three-dimensional proposals of objects of the environment; projecting the three-dimensional proposals onto a two-dimensional image of the environment; generating two-dimensional proposals of the objects of the environment; at a second processing stage: detecting the objects of the environment from the two-dimensional image of the environment; generating two-dimensional bounding boxes of the objects of the environment; matching the two-dimensional bounding box with a particular two-dimensional proposal of the two-dimensional proposals; and labeling, for each two-dimensional proposal that is matched to a two-dimensional bounding box, the three-dimensional proposal corresponding to the two-dimensional proposal with semantic information associated with the two-dimensional bounding box that is matched to the

Abstract: Disclosed methods for network modernization include obtaining a list of end-to-end circuits carried in a circuit-switched network, calculating, for each circuit, an early retirement credit (ERC) score and a circuit load factor (CLF) score, selecting, dependent on the ERC and CLF scores, a circuit to migrate to a new network, adding the selected circuit to a circuit migration sequence, and removing the circuit from the list. The ERC score represents the number of circuit-switching units on which no circuits would be carried and that would remain in the network following its removal. The CLF score represents an average number of circuits that would be carried on each circuit-switching unit currently traversed by the circuit following its removal. When two circuits have the highest ERC score, the circuit with the lowest CLF score is selected for migration. The method is repeated until the list is empty.

Abstract: A method for processing a cloud service in a cloud system, wherein the cloud system includes a hosted cloud, an allied cloud, and an alliance management apparatus, wherein the hosted cloud includes a first region, the allied cloud includes a second region, the hosted cloud further provides a virtual region for a user, and the virtual region is mapped by the second region on the hosted cloud. The alliance management apparatus enables a user of the hosted cloud to obtain unified experience when the user accesses the first region and the virtual region in the cloud system, for example, unified experience in control interface access, and unified experience in application programming interface (API) access.

Abstract: The invention relates to an island converter overload limit method and device for a bipolar flexible DC transmission system, and belongs to the field of DC transmission. During stable island operation, both bipolar converters adopt a voltage-frequency droop control strategy; and once it is detected that one converter is overloaded, the control mode of the overloaded converter is automatically switched to active-wattless power control from voltage-frequency droop control to fulfill an overload limit function. The method effectively avoids an overload of the bipolar flexible DC transmission system under island operation, effectively maintains the AC voltage and frequency stable, and has important guiding significance for applying island systems to DC power grids.

Abstract: Disclosed are a control method and system for a parallel converter system, including a common AC voltage controller and a separate current controller for each converter; the AC voltage controller generates an active current, a wattless current, and a system voltage phase reference value and, by means of communication, sends same to the current controller of each converter in island control mode to be a converter control signal; the active and wattless current outputted by each converter, along with the corresponding current reference value, accomplish the objective of the parallel converter system collectively controlling the amplitude and frequency of an AC bus voltage. The method and system are highly reliable and effectively ensure the synchronization of a plurality of converters.