72 results about "Virtual computing" patented technology

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.

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.

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.

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.

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.

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.

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.

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 first satellite includes a first host-side bridge and a first host, connected with a network via the first host-side bridge, mounted thereon. A second satellite includes a first I / O-side bridge and a first I / O device, connected with the network via the first I / O-side bridge, mounted thereon. A management device selects the first host mounted on at least one of the first satellites and the first I / O device mounted on at least one of the second satellites, according to a configuration request, and forms an information processing device in which the first host-side bridge connected with the selected first host and the first I / O-side bridge connected with the selected first I / O device constitute a virtual computer internal bus.

The invention relates to the technical field of vehicle intelligent management, and discloses a vehicle thermal management method and device, and the method comprises the steps: obtaining first temperature data of a range extender unit and second temperature data of a heated unit; wherein the first temperature data refers to the temperature of cooling water at an outlet of a heat dissipation loop when the range extender unit works; the second temperature data is the temperature of a virtual convergence point in the heat exchange loop of the heated unit; the virtual convergence point is any point between the heat exchange outlet of the heated unit and the inlet of the flow control unit; and the target opening degree of the flow control unit is determined based on the first temperature data and the second temperature data, and the range extender unit is used for conducting heat management on the heated unit. By obtaining the direct measurement temperature of the range extender unit and the virtual calculation temperature of the heated unit, introduction of waste heat of the range extender is accurately controlled. And through closed-loop control logic, the control precision and responsiveness of the system are improved, so that the energy efficiency level of thermal management of the whole vehicle is improved.

The invention relates to the technical field of computers, in particular to a heterogeneous computing power perception scheduling system and method for large model services, and the method comprises the following steps: receiving an application of a working load Pod for a virtual computing power unit; sensing fragmented heterogeneous GPU resources in the cluster and a physical topological structure thereof; dynamically generating an optimal scheduling scheme for integrating a plurality of fragment GPUs into a virtual aggregation GPU based on communication cost evaluation; scheduling the Pod according to the scheduling scheme, and starting a communication optimization agent when needed to optimize cross-node communication; the method has the advantages that original idle leftover material resources are converted into effective computing power capable of being used by a large model through the virtual aggregation technology of converting zero into integer, the average GPU utilization rate of a cluster can be increased by dozens of percentage points, and idle waste of the computing power resources is greatly reduced.

A virtual computer management system is configured including an active system management server and a backup system management server each configured to receive an operation request for operating a virtual computer. The virtual computer management system includes: a request generation unit that, when the result of a first operation request to the active system management server is a normal termination, converts the first operation request into a second operation request to the backup system management server; and a queue management unit that enqueues the second operation request in a queue and, when the result of a third operation request to the backup management server, located at the head of the queue, is a normal termination, deletes the third operation request from the queue and transmits an operation request newly located at the head of the queue to the backup system management server.

The invention relates to the technical field of material life cycle management, and discloses a material life cycle management-oriented adaptive privacy protection federated learning method, which comprises a privacy protection federated learning system, and is characterized in that the privacy protection federated learning system comprises a data management module, a virtual computing layer, a privacy collaboration layer and an application service layer; by introducing a dynamic privacy budget allocation mechanism and based on an arithmetic progression dynamic allocation strategy, it is ensured that privacy budget allocation in each round of communication is scientific and reasonable, the privacy disclosure risk is effectively prevented, privacy budgets are allocated according to an arithmetic progression formula in each round of communication, and the corresponding Gaussian noise standard deviation is calculated, so that the privacy disclosure risk is effectively prevented. The method is used for noise injection in model training, maximizes the privacy protection effect while ensuring the model performance, then introduces a dynamic regularization mechanism, and adjusts the model training process according to the loss change trend of the last round of training by defining a total loss function including mean square error loss and a dynamic regularization item and adaptively updating a regularization coefficient.

This disclosure relates to the field of artificial intelligence chip technology, specifically to a method, architecture, and chip for dynamic collaborative resource scheduling of heterogeneous multi-core processors. The method includes: processing the computation graph using a trained graph convolutional network to obtain corresponding task feature vectors; acquiring resource status information of a heterogeneous resource pool; establishing a weighted multi-objective optimization function with maximizing performance indicators and minimizing power consumption indicators as optimization objectives; determining an iterative greedy strategy for approximating the optimization objectives; in each iteration, selecting the optimal candidate resource from the heterogeneous resource pool to add to a virtual computing cluster; and calculating whether the computing resources, storage capacity, and transmission bandwidth provided by the updated virtual computing cluster meet the corresponding requirements, until the target virtual computing cluster is obtained. This disclosure achieves precise matching between task characteristics and hardware resources, dynamically generates optimal resource configuration schemes, and improves system-level energy efficiency while ensuring smooth task execution.

An apparatus comprises a processing device configured to receive, from one of two or more storage nodes of a software-defined storage system comprising a write cache and persistent storage, a request to read a given portion of data. One or more portions of data in the persistent storage are also stored as read-only data in local storage of virtual computing instances implementing the storage nodes. The processing device is configured to read the given portion of data from the local storage of the virtual computing instances responsive to determining that the given portion of data is part of the read-only data in the local storage of the virtual computing instances, and to read the given portion of data from the write cache or persistent storage responsive to determining that the given portion of data is not part of the read-only data in the local storage of the virtual computing instances.

An apparatus comprises at least one processing device configured to receive a request, from an application running on a virtual computing instance, to consume data from an external device coupled to a physical hardware port of a host device, the external device having a first interface with a physical driver running on a host operating system of the host device, the first interface having a first interface type. The processing device is also configured to instantiate a second interface on the host operating system of the host device, the second interface having a second interface type different than the first interface type. The processing device is further configured to establish a service mesh for the application by linking the instantiated second interface with (i) a virtual driver running on the virtual computing instance and (ii) the physical driver running on the host operating system of the host device.

The embodiment of the invention discloses an interface interaction control method, a computer system, equipment and a computer storage medium. According to an interface type of a target virtual interface indicated by the creation request, creating a target virtual computing power device corresponding to the interface type in a target virtual environment, responding to a deep learning request of the target virtual environment through the target virtual computing power device, and forwarding the request to a host machine, and scheduling a physical computing power device corresponding to the interface type to respond to the request, and returning a processing result of the request to the target virtual environment through a target virtual computing power device. According to the method, virtualization is carried out from a software interaction level instead of virtualization of computing power hardware, the scheme is completely realized based on software, and a physical GPU is not required to have any special virtualization hardware function, so that almost all mainstream and even old models of GPUs on the market and accelerators such as NPUs with different architectures can be managed. And the user does not need to pay for expensive virtualization dedicated hardware and software license, so that the virtualization deployment cost is reduced.

The invention provides a computing power aggregation method and device of a common computing power intelligent computing cloud platform, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructure, the intelligent computing cloud platform comprises a logic computing power cluster and a plurality of physical computing power clusters, each physical computing power cluster comprises a plurality of computing power nodes, and each physical computing power cluster comprises a plurality of computing power nodes. The method comprises the steps that a logic computing power cluster synchronizes information of each computing power node in a physical computing power cluster in real time, the computing power nodes are mapped into virtual computing power resources, and the virtual computing power resources are put into a computing power resource pool; receiving a container creation request or a calculation task creation request of a user, and creating a container based on the request; based on the information of each virtual computing power resource in the computing power resource pool, screening out a target virtual computing power resource matched with the container from the computing power resource pool; and determining a target computing power node corresponding to the target virtual computing power resource, and scheduling the target computing power node operation container through a physical computing power cluster where the target computing power node is located.

A system and method include receiving, by a database engine of a database system associated with a virtual computing system, a user request via a dashboard for provisioning a source database with the database system, receiving, by the database engine via the dashboard, selection of a database engine type, and receiving, by the database engine via the dashboard, selection of a Service Level Agreement (“SLA”) and a protection schedule. The system and method also include provisioning, by the database engine, the source database based upon the database engine type, creating, by the database engine, an instance of a database protection system based upon the SLA and the protection schedule, including associating the instance of the database protection system with the source database, and displaying, by the database engine, the source database within the dashboard.

Fine-grained selectively privileged container virtual computing environments provide a vehicle by which processes involving modification of particular aspects of a host computing environment can be passed to and executed on the host computing environment while maintaining advantageous and desirable protections and isolation between the remaining aspects and portions of the host computing environment and the selectively privileged container computing environment. Such selective privilege is provided based on directly or indirectly described actions that are allowed and disallowed by processes executing in the selectively privileged container virtual computing environment on the host computing environment. Aspects of the host computing environment operating system, such as the kernel, are extended to interface to a container-centric mechanism to receive information as to which actions the kernel can allow or deny even if the process attempting such actions would otherwise have sufficient privilege.

Methods, systems, apparatuses, devices, and computer program products are described. A user may transmit a request to a computing resource management service for use of one of a set of resources managed by the computing resource management service. The user or the computing resource management service may select a computing resource from a set of available resources, which may be a subset of the set of resource. The computing management service may transmit a lease request to the selected computing resource to modify the access control parameters to allow the user access to the selected computing resource during a lease period and restrict access to other users during the lease period. Further, the computing resource management service may transmit an indication of the selected computing resource and the lease period to the user.

An example computer includes: a hardware platform having a central processing unit (CPU), a memory, and a hardware clock; a hypervisor executing on the CPU and managing the hardware platform; a first virtual machine (VM) supported by the hypervisor and having a passthrough connection to the hardware clock; first guest software executing in the first VM, the first guest software including a first system clock synchronized by communication with the hardware clock via the passthrough connection; a second VM supported by the hypervisor; and second guest software executing in the second VM, the second guest software including a second system clock synchronized with the first system clock via a first portion of the memory shared between the first VM and the second VM, the first portion of the memory coordinated by the hypervisor.

Systems and methods for determining a target virtual compute resource configuration for provisioning a virtual compute resource. A provisioning system and method are described that abstract various provisioning requirements into different provisioning strategies. The provisioning strategies include logic that, when executed, determine target provisioning options (e.g., a region and subscription configuration) for provisioning a virtual compute resource. Combinations of strategies are organized into various provisioning strategy groups using modifiable metadata in a configuration table. In some examples, the provisioning system receives a request for a target configuration for provisioning a virtual compute resource. In response, the provisioning system determines a provisioning strategy group that best satisfies the request and executes the provisioning strategies included in the group to determine target provisioning options for provisioning the requested virtual compute resource.

The invention discloses a finite element fatigue damage calculation information encryption system for a rotary folding deployable system, and particularly relates to the field of end-cloud cooperative calculation and structural security information encryption processing, and the finite element calculation initialization operation is executed in an edge node of the rotary folding deployable system; and recording the formed response difference matrix delta R, calling a mapping function to calculate a mapping key phi (delta R), and registering the phi (delta R) as an encryption control parameter of the current calculation period. Disturbance mapping, virtual calculation space and a layered encryption transmission mechanism are introduced under an end-cloud collaborative architecture, so that encryption solution and credible verification are completed in a finite element fatigue damage calculation process on the premise of not exposing real node coordinates and geometric topology, and therefore, safe sharing of structural calculation information and side channel anti-inference are realized.

Examples described herein relate to a centralized workflow management system (CWMS) and a method for managing the deployment and migration of virtual computing instances along a manufacturing line. The manufacturing line hosts a plurality of computing devices such as a first computing device and a second computing device to control operations performed by respective machines. To manufacture a first product, a first orchestration manager hosted in the CWMS deploys a first virtualized computing instance on the first computing device associated with a first stage of a first product manufacturing workflow. Further, upon the first product completing the first stage of the first product manufacturing workflow, the first orchestration manager migrates the first virtualized computing instance from the first computing device to a second computing device associated with a second stage of the first product manufacturing workflow.

The invention relates to the technical field of bioengineering and provides a method for improving the specificity and affinity of an aptamer. The method includes: S1, screening a target of an aptamer from a compound information database by virtual computing; S2, verifying the screening result in Step S1 through experiments; S3, performing virtual saturation mutation on a site of the aptamer, and screening out a mutation site of the aptamer; S4, performing base substitution to the mutation site of the aptamer; and S5, detecting the binding parameter of the aptamer after base substitution with the target screened in Step S1, and selecting an aptamer with improved specificity and affinity after base substitution. An efficient molecular design-guided method is developed by computer rational calculation, to improve the specificity and binding affinity of the aptamer by directional modification. The present invention is of great significance for the practical application of aptamers.

The application relates to a running environment construction method and system of a simulation machine system, and the method comprises the following steps: receiving a configuration requirement of the simulation machine system input by a user; creating at least one virtual network switch and multiple virtual computers with different specifications by using a computing virtualization technology according to the configuration requirement; connecting the corresponding virtual computers by using the virtual network switch to establish a virtual network according to the configuration requirement, and connecting the virtual network with a physical network; performing function verification and performance test on the software of the simulation machine system in the virtual network, and optimizing the created virtual network switch and virtual computer according to the function verification result and the performance test result. The technical scheme of the application greatly saves the number of devices required for installation of a test platform and installation space, saves system operation cost, and improves installation and maintenance efficiency.

The application provides a mobile device computing power expansion method and system based on a computing power contribution protocol. The method is applied to at least one mobile device computing power expansion base configured with a computing power contribution protocol: after the base accesses a host device, the base sends a base resource contribution declaration message, so that the host device obtains hardware original computing power parameters of a built-in computing unit of the base and synchronously activates an internal task scheduler of the host device; the host device generates a virtual computing power mapping table based on the parameters, forms a virtual resource node by taking the base as a heterogeneous computing power, and constructs an aggregated computing power resource pool; in response to a triggered target computing task, the host device matches a base meeting the demand from the aggregated computing power resource pool by using the task scheduler and issues a task data packet, so that the base performs operation processing to generate task computing result data, and real-time task states are maintained in real time. The application realizes deep aggregation and elastic expansion of heterogeneous computing power, significantly improves the computing performance of the mobile device while guaranteeing data sovereignty.

The invention relates to persistence of virtual secure processor states. In some examples, a security service module that provides a security service for a virtual computing entity requests a key from a processor. A system encrypts a state of a virtual secure processor using a key to produce an encrypted virtual secure processor state, and the system stores the encrypted virtual secure processor state in a persistent storage.