182 results about "Virtual computing" patented technology

The invention provides a resource unified management method and system based on heterogeneous computing power, and relates to the technical field of resource allocation of heterogeneous computing power. According to the method, operation instructions of different computing units are converted into bidirectional irreversible instruction sequences by constructing a heterogeneous presentation layer, and physical resources are abstracted to generate a virtual computing power unit. A multi-dimensional efficiency baseline is constructed based on parameters such as real-time load and network jitter tolerance, and a time-varying efficiency curve is dynamically generated in combination with a hardware aging rate. A user task is decomposed into sub-task chains, intelligent resource binding is realized by matching hardware sensitivity characteristics with an efficiency curve, and conflicts are solved by adopting reinforcement learning. And monitoring efficiency offset in real time during execution, performing reverse backtracking during abnormality, and generating a recombination strategy based on the alternative resource set. According to the system, efficient management and dynamic optimization of heterogeneous computing power resources are realized, and the computing efficiency and reliability are remarkably improved.

The invention provides an audio and video system data comprehensive analysis and processing method based on a virtual distributed architecture, and the method comprises the steps: collecting a heterogeneous audio and video data set of a target region through a multi-source audio and video collection assembly cluster deployed in a virtual resource pool, and carrying out the distributed task decomposition according to a preset time-space correlation constraint condition; the method comprises the following steps: generating a feature extraction task set, then dynamically allocating tasks to a processing unit group based on real-time resource availability parameters of virtual computing nodes, triggering a parallel feature extraction process, then carrying out fusion operation on an intermediate feature data set through a cross-node communication interface, generating a global state description vector of a target area, and finally, carrying out feature extraction on the global state description vector. And a resource regulation and control instruction set is generated according to a mapping relation between the global state description vector and a preset system configuration strategy, and is transmitted to a scheduling management node of the virtualized resource pool, so that efficient and accurate comprehensive analysis and processing of the audio and video data are realized, and the overall performance and stability of the system are improved.

The invention discloses a computer network experiment environment dynamic construction method based on virtual simulation, which belongs to the field of computer network experiment teaching and virtual simulation technology application, and comprises the following steps: analyzing experiment scene description to generate a modular construction instruction; creating and initializing a virtual machine instance and a basic network; generating a required virtual network device and constructing a corresponding virtual connection; configuration parameters, service scripts and security policies are comprehensively applied to the virtual machine and the network equipment; and integrally outputting the experimental environment to a user interaction interface. According to the method, the demand-driven instruction arrangement, virtual resource pooling scheduling and multi-layer automatic configuration technologies are adopted, so that a diversified and deeply interactive virtual computer network experiment environment can be quickly and flexibly constructed according to specific experiment demands of a user; and the resource utilization rate, the scene construction efficiency and the flexibility of the teaching mode of network experiment teaching are obviously improved.

The present invention provides a fuzz testing system and method based on a virtual computer model. Traditional fuzz testing approaches primarily modify external inputs to detect security vulnerabilities, making it difficult to monitor internal state changes in real-time. This invention constructs a test environment using a virtual computer model and incorporates automatic assertion generation and detection functions, enabling precise analysis of both internal and external signals of the system. After executing fuzz testing, assertion data is analyzed to assess test coverage and identify untested code regions, allowing for an optimized testing strategy. This improves the detection rate of security vulnerabilities, enhances test automation and reliability, and can be applied in various fields such as networks, automotive ECUs, IoT, finance, aerospace, and semiconductors.

Systems and methods are provided for managing computing services for an application comprising a plurality of virtual computing components executing on one or more host computing devices, wherein a service virtual computing component is to perform application functionality, and wherein a system computing component is to perform system functionality including management of the application virtual computing component; determining the service virtual computing component is to execute using a first access credential to provide a first computing service to the application virtual computing component, and the service virtual computing component is to execute using a second access credential to provide a second computing service to the system computing component, wherein the first access credential is assigned a different set of computing resource access permissions than the second access credential.

The invention discloses a bypass laser scanning path planning method for additive manufacturing, and relates to the technical field of additive manufacturing, a printing area and an initial position are determined, the whole printing path is divided into a straight line section and an arc section, an area assistant is distributed for each divided area, a communication link is established, and the communication link is connected with the straight line section and the arc section; the regional assistant is provided with an independent virtual computing resource space; self-adaptive segmentation is executed through each regional assistant, communication with adjacent regional assistants is carried out by using a communication link when local control is executed, and a segmentation state and a result are synchronized; generating a virtual adhesive to carry out smooth transition and error compensation on a splicing gap; and after splicing is completed, submitting the whole path after splicing to a printing control system to execute printing. According to the method, adaptive path planning, multi-region parallel path segmentation task processing and segmented region high-precision splicing according to the local features of the printing region are realized, and efficient and high-quality additive manufacturing printing is achieved.

Systems and methods that enable the efficient and adaptive allocation of resources dedicated to a virtualized resource-based computation (e.g., one or more information processing tasks) are provided. In one embodiment, a reward model is generated based on a set of statistical distributions, for example, in response to receiving a request to launch a set of VCRs. Thereafter, an expected reward is predicting for each configuration of a set of configurations based on the reward model and one or more parameters of the corresponding configuration. The expected reward indicates an efficiency in distribution or allocation of physical computation resources to the set of VCRs. A configuration of the set of configurations is selected based on the predicted expected reward for the configuration. The set of VCRs are then configured with the selected configuration.

The invention discloses a six-degree-of-freedom multi-spacecraft control experiment platform and method based on semi-physics-virtuality, belongs to the technical field of spacecraft system and control system simulation, and constructs a multi-spacecraft system composed of semi-physics spacecrafts and pure virtual spacecrafts. The attitude of the semi-physical spacecraft is simulated by a simulator mounted on a three-dimensional attitude air floating table, is acquired by a sensor and is converted into a rotation matrix form, and a translation part of the semi-physical spacecraft is virtually calculated through a simulation integrator; the pose of the virtual spacecraft is virtually simulated by an SE (3) integrator with high-guarantee geometric characteristics; the system takes the ROS as a communication framework, and realizes state and instruction release by adopting a custom message; and ensuring that the time system of each spacecraft is consistent with the real time through a time synchronization mechanism. The platform supports cooperative operation of a semi-physical spacecraft and a pure virtual spacecraft, and has the characteristics of flexible structure, high simulation precision and good expandability.

Techniques for executing multiple large language models (LLMs) on a single physical computing device, including receiving a task to be performed by at least a first LLM and a second LLM, creating a plurality of virtual compute nodes on the single physical computing device for processing at least some of first set of sub-tasks to be performed by the first LLM and second set of sub-tasks to be performed by the second LLM, wherein each one of the plurality of virtual compute nodes includes one or more graphics processing unit (GPU) cores allocated for performing a sub-task of the first set of sub-tasks or the second set of sub-tasks, and executing at least some of the first set of sub-tasks and the second set of sub-tasks substantially in parallel across the plurality of virtual compute nodes using shared memory. Inferences between the first and second LLMs may be shared.

The invention discloses a PCIe-based CPU, NPU and GPU interconnection cluster management method, and belongs to the technical field of interconnection cluster management. According to the method, an interconnection link is established through a PCIe switch, and bandwidth is dynamically allocated by means of the link to adapt to task requirements; multi-priority data transmission is supported, and bandwidth resources are distributed in order according to priorities; a multi-element operation mode is configured in advance, and physical and virtual computing power resources are distributed according to needs; and an equipment state monitoring mechanism is established, idle equipment enters a sleep mode, and meanwhile, all transmission links are combed and an optimal path is selected. According to the method, fine scheduling of cluster resources is realized, the bandwidth and computing power resource utilization rate is improved, the adaptation capability to different tasks is enhanced, the orderliness and stability of data transmission are guaranteed, the cluster operation energy consumption is reduced, and efficient and stable operation of the interconnected cluster is facilitated.

In one embodiment, a computer-implemented method comprises using a script automation processor that is hosted using a virtual compute instance and a virtual storage instance associated with one or more second non-transitory computer-readable storage media storing one or more second sequences of instructions defining an API implementation of the API, a graph server, and one or more programming language runtime interpreters, receiving a user pipeline automation script comprising one or more first sequences of instructions specifying one or more API calls to an application programming interface (API), and a user application; using the script automation processor, creating and storing one or more programmatic containers in memory of the script automation processor, the containers corresponding to functions that user pipeline automation script and user application invoke; using the script automation processor, creating and storing a directed acyclic graph (DAG) in the memory of the script processor, the DAG comprising nodes and edges corresponding to dependencies of the containers; using the script automation processor, interpreting the user pipeline automation script using a particular programming language runtime interpreter among the one or more programming language runtime interpreters; using the script automation processor, running the user pipeline automation script to automatically build, test, or deploy the user application in a cloud computing service.

Methods and apparatuses for provisioning a database management platform in a cloud computing environment include a server that reserves virtual computing resources in the cloud environment. The server provisions a database management platform using the reserved virtual computing resources. The database management platform includes primary and secondary database instances, a database observer instance, and a platform monitor agent. The server configures a database observer instance to monitor availability of database instances and to route traffic to other database instances. The server integrates the database management platform with an identity authentication service, monitors operational status of the database management platform using a monitoring service, and refreshes the reserved virtual computing resources in the database management platform using a rehydration service.

Techniques are disclosed for processing data packets and implementing policies in a software defined network (SDN) of a virtual computing environment. At least one network device is configured to disaggregate enforcement of policies of the SDN from hosts of the virtual computing environment. Tier-0 devices are communicatively coupled to network interfaces of the network device. The network device comprises a plurality of data processing units that are configured to implement functionality of the network device.

In some examples, a system receives, from a requester, a request to perform a first workload in a virtual computing environment, and determines a type of the requester, the determined type being one of a plurality of different requester types. The system receives metrics relating to resource usage in the virtual computing environment, and determines, using a machine learning model, an allocation of resources to the first workload based on the determined type of the requester and the metrics. The machine learning model adjusts the allocation of resources to the first workload based on further collected metrics relating to resource usage by the workload and based on a detected behavior of the requester while the first workload is performed in the virtual computing environment.

The invention discloses a heterogeneous AI computing power resource segmentation and scheduling method and system, and the method comprises the steps: recognizing the type of a heterogeneous AI computing power card accessed to a current server and hardware resource parameters of the heterogeneous AI computing power card, and carrying out the abstract modeling to generate a logic resource model; dividing a computing core and a video memory of a single heterogeneous AI computing power card into at least one independent virtual computing power instance through a resource virtualization technology on the basis of the constraint of a logic resource model; and in response to a computing task request, mounting the virtual computing power instance to a computing task in a containerization form, and dynamically scheduling the virtual computing power instance based on the demand of the computing task. Standardized logic resource units are generated through the minimum segmentation unit, and the utilization rate and scheduling flexibility of heterogeneous AI computing power resources are remarkably improved.

Described are techniques for data integrity monitoring of point-in-time backups. The techniques include obtaining a point-in-time backup of a virtual computing resource that executes in a computing environment which is monitored by a controller component of a disaster recovery system. The techniques further include starting a temporary virtual computing resource in a virtual private network from the point-in-time backup of the virtual computing resource. The techniques further include establishing communication between the controller component and the temporary virtual computing resource to enable the controller component to initiate an integrity check of data included in the point-in-time backup. The techniques further include, in response to an indication that the point-in-time backup passed the integrity check, preserving the point-in-time backup as a validated safe backup of the virtual computing resource.

The embodiment of the invention provides a physical machine, a resource scheduling method, equipment and a storage medium. In the embodiment of the invention, a physical computing resource object of a physical machine bears a virtual computing resource object required for running a virtualization instance, and different resource scheduling strategies are adopted to perform time-sharing scheduling on the virtual computing resource object; in the process of scheduling the virtual computing resources according to the currently used resource scheduling strategy, the running state data of the physical computing resource object and / or the currently borne virtual resource object is monitored, and the currently used resource scheduling strategy is dynamically adjusted according to the change condition of the running state data. Therefore, the resource scheduling strategy matched with the running state of the physical computing resource object and / or the virtual computing resource object is adopted, reasonable scheduling of the virtual computing resource object can be achieved, and the running performance of the virtual computing resource object and the resource utilization rate of the physical computing resource object are improved.

The invention relates to the technical field of power grid operation monitoring, and discloses a computer for monitoring operation of a power distribution network, and a method which can be executed by the computer comprises the following steps: processing a virtual computing resource topological graph and a monitoring task demand matrix through a virtual network slicing algorithm to obtain a special monitoring network set; processing the special monitoring network set and the operator scheduling strategy through a distributed collaborative learning system to obtain a resource scheduling scheme; processing the resource scheduling scheme and monitoring the task state data in real time through a self-adaptive task migration system to obtain a task migration execution scheme; processing the task migration execution scheme and the regional monitoring data through a regional adaptive resource regulation and control system to obtain a key regional resource configuration scheme; according to the method, a plurality of logically isolated and collaborative special monitoring networks are constructed on existing computing resources in a software definition mode, so that the running state of the power distribution network is comprehensively monitored.

Methods and apparatuses are described for automatically provisioning and managing secure database resources in a cloud computing environment. A server provisions virtual computing resources in the cloud computing environment using resource templates and creates a database instance in each of the virtual computing resources. The server integrates the database instances and the virtual computing resources in the cloud computing environment with an identity authentication service. The server configures the database instances in two or more of the virtual computing resources to synchronize data. The server monitors each of the plurality of virtual computing resources using a monitoring service. The server updates the database instances by detaching a physical disk drive from the database instance, deleting the virtual computing resource that contains the database instance, provisioning a new virtual computing resource, creating a new database instance in the new virtual computing resource, and re-attaching the physical disk drive.

The technology provides for allocating an available resource in a computing system by bidirectional communication between a hypervisor and a container scheduler in the computing system. The computing system for allocating resources includes one or more processors configured to receive a first scheduling request to initiate a first container on a first virtual machine having a set of resources. A first amount of resources is allocated from the set of resources to the first container on the first virtual machine in response to the first scheduling request. A hypervisor is notified in a host of the first amount of resources allocated to the first container. A second amount of resources from the set of resources is allocated to a second virtual machine in the host. A reduced amount of resources available in the set of resources is determined. A container scheduler is notified by the hypervisor for the reduced amount of resources of the set of resources available on the first virtual machine.

The invention discloses a parallel computing and distributed network access risk management and control device and a management and control method, and relates to the technical field of risk management and control. The system comprises three layers, namely network element equipment, a network controller and a security management and control platform, the security management and control platform integrates a PKI-based password infrastructure, a tool engine and an AI engine and uniformly distributes security management and control related strategies, and the network controller is used as an edge execution component and is connected with various network element equipment of a managed network, so that the security management and control related strategies can be uniformly distributed. The risk management and control device is constructed on a full-switching parallel computing architecture which provides a virtual computing power pool. Under the support of high-performance computing power provided by full-switching parallel computing, a safety management and control platform based on a distributed safety management and control system is constructed, unified state monitoring, risk analysis and strategy issuing are carried out on network access risks, and the safety of network access is improved through distributed network event and performance management and control. And network access risk real-time management and control are carried out.

Methods and apparatuses for provisioning a database management platform in a cloud computing environment include a server that reserves virtual computing resources in the cloud environment. The server provisions a database management platform using the reserved virtual computing resources. The database management platform includes primary and secondary database instances, a database observer instance, and a platform monitor agent. The server configures a database observer instance to monitor availability of database instances and to route traffic to other database instances. The server integrates the database management platform with an identity authentication service, monitors operational status of the database management platform using a monitoring service, and refreshes the reserved virtual computing resources in the database management platform using a rehydration service.

Example methods and systems for virtual tunnel endpoint (VTEP) mapping for overlay networking are described. One example may involve a computer system monitoring multiple VTEPs that are configured for overlay networking. In response to detecting a state transition associated with a first VTEP from a healthy state to an unhealthy state, the computer system may identify mapping information that associates a virtualized computing instance with the first VTEP in the unhealthy state; and update the mapping information to associate the virtualized computing instance with a second VTEP in the healthy state. In response to detecting an egress packet from the virtualized computing instance to a destination, an encapsulated packet may be generated and sent towards the destination based on the updated mapping information. The encapsulated packet may include the egress packet and an outer header identifying the second VTEP to be a source VTEP.

Systems and methods are provided for managing computing services for an application, the application comprising a plurality of virtual computing components executing on one or more host computing devices, wherein service virtual computing components are for performing application functions, and wherein system computing components are for performing system functions, the system functions comprising management of the application virtual computing components; determining that a service virtual computing component is for performing using a first access credential to provide a first computing service to an application virtual computing component, and that the service virtual computing component is for performing using a second access credential to provide a second computing service to a system computing component, wherein the first access credential is assigned a different set of computing resource access permissions than the second access credential.

A control device (10) is provided with a scaling determination unit (142), an image selection unit (143), and a reconfiguration unit (144). When a time constraint corresponding to each of at least one of one or more manufacturing facilities (40) has been changed, the scaling determination unit (142) determines, on the basis of the time constraint corresponding to each of the one or more manufacturing facilities (40) after the change, whether to execute scaling processing for changing a calculation resource to be allocated to a virtual calculation environment. When it is determined that the scaling processing is to be executed, the image selection unit (143) selects, as the selection image, an image of the virtual calculation environment that satisfies the time constraint corresponding to each of the one or more manufacturing facilities (40) after the change, said selection being made on the basis of the amount of the calculation resources allocated to the virtual calculation environment. The reconfiguration unit (144) reconfigures the virtual calculation environment on the basis of the selection image.

The invention provides a kidney needle biopsy quantitative teaching evaluation system and method based on mixed reality, and the system comprises a virtual-real space registration unit which is used for building the space mapping between a virtual kidney model containing a renal cortex layered anatomical structure and a simulation entity training model body, and completing the space registration of the virtual model and the entity model body; the operation data acquisition module is used for acquiring three-dimensional motion trail data of the puncture needle in the puncture operation process; according to the quantitative scoring module, the multi-dimensional weighted scoring model takes the cortical ratio as a core evaluation index, and the scoring dimension corresponding to the cortical ratio has the highest weight in the model; the quantitative scoring module calculates a cortical ratio based on the acquired three-dimensional motion trail data, and outputs an operation quantitative score through a multi-dimensional weighted scoring model; and the closed-loop verification unit is used for acquiring a real puncture result on the simulation entity training die body and comparing the real puncture result with the puncture track subjected to virtual calculation so as to calibrate the operation quantitative score.

A seat test system is disclosed, the seat test system comprising: at least one of an interface and a control module configured to receive an input; a dummy positioning module configured to: i) position an anthropomorphic test device (ATD) in a seat system to be tested in a virtual computer-aided engineering environment, ii) access a target parameter comprising the input, and iii) determine a parameter indicative of the positioning of the ATD in the seat system based on the target parameter; and a simulation evaluation module configured to i) operate the ATD and the seating system by simulation of a collision in a virtual computer-aided engineering environment based on the parameters, and ii) generate a rating of the seating system based on a result of the simulation.

Systems, computer program products, and methods are described herein for generating an interactive 3D environment using spatial computing to generate historical digital components. The present invention is configured to identify a user account(s), wherein the user account(s) is associated with a resource account(s); identify a resource transmission(s) associated with the resource account(s), wherein the resource transmission(s) is associated with a geolocation coordinate(s) or an entity identifier(s); generate a virtual computing environment based on the at least one resource transmission and geolocation coordinate(s) or the entity identifier(s); generate a virtual computing environment avatar based on the user account, the resource transmission(s) and the geolocation coordinate(s) or the entity identifier(s); and generate a resource transmission movie in the virtual computing environment, wherein the resource transmission movie comprises at least one virtual computing environment component based on the resource transmission(s).

Resources may be isolated for potentially fraudulent virtual compute instances. Resource utilization of virtual compute instances at a host system may be monitored. A virtual compute instance may be identified for fraud mitigation based on the monitored resource utilization. Availability of hardware resources to the identified virtual compute instance may be modified, whereas the availability of the hardware resources may remain for other virtual compute instances not identified for fraud mitigation.

The invention relates to the technical field of computers, and discloses a heterogeneous computing power management method and device, a readable medium and electronic equipment. The method can respond to a request of a work queue for a virtual computing power resource, convert the virtual computing power resource into a heterogeneous computing power resource based on a standardization proportion, and further determine scheduling information corresponding to the heterogeneous computing power resource; corresponding heterogeneous computing power resources can be allocated to the work queue based on the scheduling information; wherein the standardization proportion is obtained by performing standardization performance testing on the at least one heterogeneous computing power resource by adopting the performance index. According to the method, requests of different heterogeneous computing power resources can be uniformly converted into requests for virtual computing power resources, computing requirements are reasonably met in computing power resource allocation, especially for large-scale and multi-type computing task computing power requirements, and diversified heterogeneous computing power resources can be automatically and effectively allocated.