302 results about "Shared resource" patented technology

The invention relates to the technical field of data analysis, and particularly provides a park enterprise space efficiency evaluation method and system based on a machine learning AI model, and the method comprises the steps: collecting space efficiency correlation parameters including a space utilization parameter, an economic energy efficiency parameter, an innovative output parameter, a shared resource consumption parameter and a collaborative correlation parameter; constructing a space efficiency evaluation model, extracting basic indexes and value-added indexes, training the model by taking industry characteristics as constraints, and outputting an evaluation result; generating spatial configuration schemes such as spatial layout optimization and resource allocation adaptation; and monitoring dynamic parameters in real time, and dynamically optimizing an evaluation result and a configuration scheme through a hierarchical correction strategy. According to the method, the problems of single index, static solidification, insufficient industry adaptation, closed-loop deficiency and the like in the prior art are solved, full-dimension accurate evaluation and dynamic optimization of space efficiency are realized, the feasibility of a configuration scheme and the refinement level of park operation are improved, and support is provided for intelligent park operation.

Apparatus and methods are provided for COT sharing in sidelink unlicensed communication systems. In novel aspect, an COT initiating UE shares one or more SL resources within a COT to one or more responding UEs. In one embodiment, the responding UE is a target receiver of the COT initiating UE. In one embodiment the responding UE uses the shared resources for transmission that the COT initiating UE is one of the target receivers. In one embodiment, COT sharing information comprises COT time and frequency location information, shared COT starting offset information, remaining COT duration information, one or more resource block (RB) set(s) in the COT, channel access type, channel access priority type (CAPC) level, and ID information. In one embodiment, the COT sharing information is carried in a 1st-stage SCI, a 2nd-stage SCI, a combination of a 1st-stage SCI and 2nd-stage SCI, or a MAC-CE. In one embodiment, the responding UE performs an channel access before using the shared COT resource. The channel access type is (pre-) configured based on a transmission gap or indicated by the COT initiating UE.

A group of wireless devices may use shared resources to communicate information to a base station. At least one configuration parameter (e.g., Quality of Service (Qos) parameter(s)) associated with over-the-air computation may be used for group uplink transmissions. Data associated with the group of wireless devices may be determined, based on an aggregation of the group uplink transmissions. The data associated with the group of wireless devices may be provided to a network node using the configuration parameter(s).

The invention relates to the technical field of task scheduling, and discloses a scheduling control method and device for a multi-core real-time processing system and a computer storage medium, and the method comprises the steps: when a target process has a high-bandwidth operation request, executing a first bandwidth preemption operation based on a bandwidth lock mechanism, scheduling a target processor core corresponding to the target process to preempt a first shared resource required by the high-bandwidth operation request; the first shared resource comprises a CPU shared resource; based on a dynamic bandwidth preemption priority mechanism, executing a second bandwidth preemption operation according to the process priority and the task information of the target process so as to schedule a task execution unit of the target process to preempt a second shared resource; the second shared resources at least comprise global shared resources. Visibly, the scheduling reliability and accuracy between the processor cores and the main devices of the multi-core CPU in the multi-core real-time processing system can be improved, the problems of inner competition and outer competition are solved at the same time, and therefore the real-time performance of the system is improved.

Estimated and actual processor runtimes improve computer functioning in fairly sharing computing resources. Today's computers and cloud-based services serve many users and many software applications sharing CPU resources. An operating system thus implements a scheduling policy that fairly allocates CPU time. A scheduler thread implements the scheduling policy based on estimated processor runtimes, and actual processor runtimes, associated with tasks. The operating system may maintain running tallies or totals for a user / group / organization based on credits (e.g., the estimated processor runtimes) and / or on penalties (e.g., the actual processor runtimes). The scheduler thread may select tasks for worker threads based on the credits and / or the penalties, thus ensuring that no user / group / organization unfairly consumes CPU time.

The invention provides a task processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method is applied to the electronic equipment, a first processor of the electronic equipment comprises a plurality of computing cores, and the method comprises the steps that under the condition that a shader task is received, shared resources among thread bundles contained in the shader task are determined, and the shared resources are written into a shared storage space of the first processor; distributing each of the thread bundles to one or more target computing cores in the plurality of computing cores; and obtaining the shared resource from the shared storage space through each target computing core when a computing task in the shader task is executed, and performing computing based on the shared resource. The scheme can save a lot of computing core resources and improve the hardware resource utilization rate of the first processor.

Techniques are described for ensuring end-to-end fair-share resource utilization during cross-region replication. In certain embodiments, a fair-share architecture is used for communication among pipeline stages performing a cross-region replication between different cloud infrastructure regions. Cross-region replication-related jobs are distributed evenly from a pipeline stage into a temporary buffer in the fair-share architecture, and then further distributed evenly form the fair-share architecture to parallel running threads of next pipeline stage for execute. Techniques for static and dynamic resource allocations are also disclosed.

The invention relates to a shared GPU resource fair scheduling method and system based on multi-dimensional priority, and belongs to the field of cloud computing and container orchestration.The method comprises the steps that pooling and virtualization segmentation are conducted on physical GPU resources in a cluster, and a unified GPU resource pool is formed; calculating the comprehensive priority weight of the task according to the user level, the task type and the service quality in combination with a multi-dimensional priority model; a scheduling decision is made based on a weighted dominant resource fair algorithm, task priority weights and dominant resource proportions are comprehensively considered, and fair scheduling and optimal distribution of GPU resources are achieved; through a resource monitoring and feedback mechanism, the GPU utilization rate, the task execution state and the resource allocation result are monitored in real time, priority parameters and scheduling weights are dynamically adjusted, and finally fair scheduling of shared GPU resources is achieved. According to the method, intelligent allocation, resource sharing and fair scheduling of tasks can be realized in a GPU virtualization environment, and the scheduling efficiency and the overall cluster utilization rate are improved.

The invention belongs to the technical field of automotive electronics AUTOSAR, and discloses an AUTOSAR multi-task-oriented nested lock management and real-time priority scheduling control system, a detection and prevention module establishes a dynamic resource allocation diagram by taking tasks and locks as nodes, real-time traversal is performed in combination with a depth-first search algorithm, and a task-lock-task circulation path is accurately identified; when a potential deadlock is detected, preferentially releasing a low optimal lock occupied by a low-priority task through priority arbitration, and triggering an overtime release mechanism when the priorities are the same; a scene of accessing multiple layers of shared resources by multi-task nesting under an AutoSar framework is adapted, so that the system is ensured to stably run in a complex concurrent scene, and function failure caused by deadlock is avoided; the priority scheduling module establishes a scheduling rule in combination with dual priorities of tasks and locks, optimizes a nested priority inheritance mechanism, temporarily improves the priority when a low-optimal task occupies a lock required by a high-optimal task, and configures a preemption right for the high-optimal lock.

The invention belongs to the field of load response and regulation, and particularly relates to an adjustable load aggregation and demand response control system of a virtual power plant, which is characterized in that dispersed adjustable load resources are aggregated into a load aggregation cluster containing shared resources through a clustering module; utilizing a screening module to construct an overlapping cluster hypergraph taking the shared resources as hyperedges, and screening a high-value candidate set; an iteration module is adopted to calculate a Shapley value revenue share of each load aggregation cluster through a cooperative game, a joint demand response strategy is generated by taking alliance total revenue maximization and Gini coefficient minimization as targets, and a system state is dynamically updated; and finally, integrating all strategies through a strategy generation module to generate an executable control instruction. According to the method, the problems of low resource integration efficiency, response delay and large execution deviation in the prior art are solved, optimal scheduling and cooperative control of load resources are realized, and the economical efficiency and the stability of the virtual power plant participating in the power grid demand response are remarkably improved.

The invention discloses a cluster computing power configuration management and automatic deployment system, which belongs to the technical field of computer cluster management, and comprises a resource state tracking module used for monitoring resource state information of each computing node in a cluster in real time and establishing a resource pool, an exclusive resource pool and a shared resource pool according to the resource state information, the resource pool comprises a first idle node; the resource allocation arbitration module is used for generating a second idle node and a third idle node according to the first idle node; the task resource matching module is used for screening a matched third idle node from the shared resource pool; and the resource recovery coordination module is used for recovering the low-utilization-rate computing node and the first idle node, the second idle node and the third idle node which have completed the computing task into a resource pool. The multi-level resource pool is established through the resource state tracking module, the problem of rigidity of resource allocation of a traditional system is effectively solved, and the computing resource allocation flexibility and utilization rate are remarkably improved.

In a 802.11be multi-AP collaboration, collaborated devices obtaining shared resources announced by a collaborator AP re-announce the shared resource for the stations out of the transmission range of the collaborator AP. Given the short time available, the re-announcing frame binary repeats most of the initial announcement by the collaborator AP, in particular substantially the whole MAC payload thereof. In order to facilitate the identification of the re-announcing, the latter comprises an empty TA field or no TA field in its header. This additionally allows any AP to act as the coordinator AP.

The present application relates to a kind of hierarchical concurrent state migration net methods for digital twin virtual debugging, the main principle and structure of mechanism that the method has and main construction process are listed;The method is realized by composite state and subnet mechanism hierarchical abstract management of macroscopic process and microscopic execution details, utilizes global event publishing-response and cross-subnet state dependence mechanism to realize the dynamic linkage and synchronous interlocking between concurrent components, and the mutual exclusion access and release of shared resources are completed in combination with global resource token mechanism.Based on this, visual and verifiable concurrent process model can be generated in virtual debugging environment, and deadlock detection and resource bottleneck analysis are supported, thereby significantly improving the accuracy, reliability and maintainability of complex production unit or software system digital twin virtual debugging.

The present disclosure provides a resource sharing method and device, electronic equipment and computer readable storage medium, which can be applied to the fields of computer technology, cloud computing technology, big data technology and finance. The resource sharing method comprises: in response to detecting a change operation of a first terminal on any resource information in at least one resource information, determining to-be-shared resource information, a resource sharing type and a terminal type of the first terminal, the to-be-shared resource information comprising at least one target resource information; sending the to-be-shared resource information to a second terminal, so that the second terminal respectively verifies the at least one target resource information to obtain a verification result corresponding to each of the at least one target resource information; and in response to the verification result representing that the target resource information corresponding to the verification result passes the verification, performing resource sharing on the to-be-shared resource corresponding to the target resource information according to the resource sharing type and the terminal type.

The invention discloses an SL PRS retransmission method and device, equipment and a storage medium, and relates to the technical field of communication. The method is executed by a first terminal device. The method comprises: performing retransmission of the SL PRS based on a shared resource pool, transmission resources in the shared resource pool being used for transmitting the SL PRS and / or data (210). The invention provides the method for retransmitting the SL PRS based on the shared resource pool, so that the terminal equipment can retransmit the SL PRS based on the shared resource pool.

The invention discloses a production scheduling method and system based on multiple process branches. The method comprises the following steps of: analyzing a process route containing parallel or conditional branches, enumerating all complete process routes, respectively performing pre-scheduling simulation, allocating resources for a process and calculating time; evaluating and scoring each scheme by using a multi-target evaluation model; and finally, selecting and outputting an optimal scheduling scheme according to the score. According to the invention, by enumerating all complete process paths and simulation, the plan robustness is improved, conflict coordination of shared resources is realized, and idle equipment is reduced; the resource utilization rate, the order delivery time and the load balance are optimized through multi-target evaluation, so that the production cycle is shortened, the cost is reduced, and the scheduling automation level is enhanced.

An apparatus serves a plurality of user equipments in a wireless communication system. For transmitting / receiving data of a plurality of user equipments, which include at least a first user equipment and a second user equipment, on resources shared by the plurality of user equipments, the apparatus transmits / receives a first data signal of the first user equipment and second data signal of the second user equipment using a non-orthogonal multiple access, NOMA, scheme. The first data signal and the second data signal are modulated using different waveforms prior to superposition of the first and second data signals.

The application discloses a kind of based on local area network's shared resource management method and computer readable storage medium, method includes: one offline server according to the resource download request sent by offline equipment, obtains the resource number and abstract value of resource;Judge whether there is the offline server that stores resource in same local area network;If not, select the state optimal offline server from each offline server in same local area network to request downloading resource to cloud server, the state data of resource is recorded to the resource state table of itself;And generate the download link of resource, return to offline equipment by the one offline server;If there is, the offline server that stores resource generates the download link of resource, and return to the offline equipment by the one offline server.The application can realize load balancing of each offline server in same local area network, and can realize effective management of shared resource.

The invention relates to the technical field of local memories, and provides an efficient access method and device supporting a plurality of gate or scatter requests. The method comprises the following steps: carrying out shared resource arbitration on a plurality of original requests, so that the original requests enter corresponding request caches; performing multi-level memory bank arbitration on the original request in the request cache to obtain at least one to-be-processed request; and routing the to-be-processed request to a corresponding memory bank, so that the memory bank processes the to-be-processed request. According to the method and the device, the problem that aggregation or dispersion operation of a plurality of memory banks cannot be efficiently supported in the prior art is solved.

Example embodiments of the present disclosure are directed to handling transmission on shared resource A method comprises transmitting a first transmission on a first resource occupied by the third apparatus through a contention-based procedure; during the first transmission, monitor a reservation signal transmitted by a first apparatus, the reservation signal used for requesting to occupy the first resource; and based at least in part on monitoring the reservation signal, stop the first transmission.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an identifier (ID) for the UE and a resource pool configuration associated with a resource allocation for downlink control information (DCI) associated with a retransmission grant within a resource pool shared by the UE and one or more other UEs. The UE may transmit a physical uplink shared channel (PUSCH) message based at least in part on the ID and the resource pool configuration. The UE may monitor for and receive the DCI in the resource allocation. The UE may transmit a retransmission of the PUSCH message in a resource associated with the retransmission grant. Numerous other aspects are described.

Embodiments of the present application provide a service switching method, an electronic device, a storage medium and a program product. The method comprises: marking a first logical service as an exit state, and intercepting a new task request; initializing a second logical service; performing type division processing on resources corresponding to the first logical service through the second logical service to obtain no-overwrite resources and overwrite resources; and performing differentiated resource consistency processing on the no-overwrite resources and the overwrite resources through the second logical service, and receiving the new task request, which can shorten the logical service instance switching waiting time, reduce the resource occupation of the old node in the exit phase, improve the overall resource utilization of the system, and maintain resource state consistency and business continuity in the high-concurrency write, complex metadata adjustment and shared resource concurrent access scenarios.

The invention relates to the technical field of chip testing, and discloses a chip testing system, method and device, and the system comprises a testing machine which is provided with an IO channel, and the IO channel is used for outputting IO resources; the test needle card is provided with an IO input interface, a plurality of IO output interfaces and a plurality of series resistors, the first ends of all the series resistors are connected in parallel to the IO input interface, and the second end of each series resistor is connected with one IO output interface; the test needle card can allocate IO resources for each IO output interface; a plurality of chips to be tested, each chip to be tested is provided with an IO pin, and each IO pin is connected with one IO output interface; wherein under the condition of electric leakage of the IO pin, current-limiting protection can be realized through the series resistor. In a test scene that multiple chips share IO resources, the over-killing phenomenon caused by electric leakage of the IO pins of the chips in the chip test process can be effectively reduced through current-limiting protection of the series resistors.

Aspects of the presently disclosed technology may be implemented to provide systems and methods which integrate electric vehicles (EVs) into vehicular micro clouds (VMCs) by reducing the impact of VMC participation on the state-of-charge of integrated EVs. For example, an EV of the presently disclosed technology may join a first VMC comprising a group of connected vehicles that share resources to complete a task. The EV may predict that performance of one or more sub-tasks assigned to the EV by the first VMC will deplete a state-of-charge of the battery over a threshold amount. Based on the prediction, the EV may withhold performance of the one or more sub-tasks. The EV may then become leader of a second VMC, and as leader of the second VMC, assign the one or more sub-tasks to one or more vehicles of the second VMC.

Apparatuses, methods, and systems for dynamic resource allocation based on quality-of-service prediction are disclosed. In embodiments, an apparatus includes quality-of-service prediction circuitry and a resource controller. The quality-of-service prediction circuitry is to make quality-of-service predictions using a model based at least in part on at least one performance counter measurements and at least one quality-of-service measurement. The resource controller is to allocate one or more shared resources based on the quality-of-service predictions and architectural performance counter measurements.

The present application relates to the technical field of charging scheduling, in particular to a dynamic scheduling method, device and medium for a body charging robot, which is used to solve the problem that the existing technology cannot realize strong consistency state management, resource conflict coordination and abnormal closed loop processing under multi-machine cooperation. The method comprises: an edge scheduling server constructs a double state mapping relationship and obtains spatiotemporal characteristic data of each body charging robot reaching a task point; according to the spatiotemporal characteristic data and the double state mapping relationship, the occupation conflict of shared resources is determined, and a set of available body charging robots is screened according to the real-time running state of each body charging robot; a scheduling strategy is generated by taking the conflict determination result and the available robot set as constraints, an atomized change operation is executed to lock the shared resources and an execution instruction is issued; stage data reported by the robot is obtained, state rollback is triggered when an abnormality is determined based on the double state mapping relationship, the locked shared resources are released, and a scheduling update corresponding to the abnormal event is executed.

The invention discloses an intelligent computer data processing system and method based on deep learning, and the system comprises a data preprocessing module, a multi-modal feature extraction module, a self-adaptive matching module and a result output module, and relates to the technical field of computer data processing. According to the intelligent computer data processing system and method based on deep learning, reasonable allocation and efficient utilization of resources are realized by adopting a level-to-level management mechanism of an exclusive resource container and a shared resource container according to task priorities and system load conditions through the adaptive matching module, the throughput and response speed of the system are improved, and the system reliability is improved. Through containerized resource management and a dynamic scheduling mechanism, the system can flexibly meet the processing requirements of different scales and data types, and has good expansibility and environmental adaptability.

The invention relates to the technical field of production line management, and provides a full-automatic production line management method and system for phosphorus flame retardant pretreatment, and the method comprises the steps: building a resource demand model of a multi-medium pollution sample treatment task, and according to the type of a multi-medium pollution sample, a target treatment flow and preset technological parameters, obtaining a resource demand model of the multi-medium pollution sample treatment task; calculating an expected demand of each multi-medium pollution sample processing task on the shared key resource in a future preset duration; aggregating the expected demands of the multi-medium pollution sample processing tasks, and generating a whole production line future resource demand prediction map; obtaining shared resource availability data in real time, and comparing the shared resource availability data with a whole production line future resource demand prediction map and a preset resource supply period to identify a resource shortage risk; when a resource shortage risk is identified, making a resource allocation decision; and executing a resource allocation decision, and controlling the full-automatic production line. The full-automatic production line has the effect of improving the operation efficiency and stability of the full-automatic production line.

The invention discloses a multi-task priority determination method, a resource allocation method and a resource arbiter, and relates to the technical field of computers. In the method, the initial priorities of the multiple tasks are adjusted based on the initial priorities of the multiple tasks and the access information when the multiple tasks access the shared resources, that is, fixed priorities are not set for the tasks, so that the fairness when the tasks access the shared resources is improved; the priority of the task is adjusted, so that the priority of the previous task with low priority may become higher, namely, the delay of the previous task with low priority is reduced; due to the fact that the tasks are sorted according to the priorities, when the tasks access the shared resources according to the priority sequence, low delay of the tasks with the high priorities is guaranteed, and the efficiency of accessing the shared resources by the tasks is improved; and thirdly, the weights of the tasks are determined based on various factors such as the classification levels of the tasks, the membership degrees when the tasks belong to the corresponding classification levels and the rule weights, so that the accuracy of the target priorities of the multiple tasks is improved.

This invention discloses a method for displaying Linux container applications on the HarmonyOS platform based on virtual compositing nodes. Using HarmonyOS as the host and Linux as the container, the host-side Vulkan resource management hub pre-checks GPU characteristics, allocates shared Vulkan resources, creates rendering channels, and initializes global timeline semaphores to build a unified resource pool. After the container starts, it requests resources from the host to import shared video memory objects, and the container compositor registers virtual nodes. During the rendering phase, the application uses shared resources to complete parallel rendering and sends notifications to the container compositor. The container compositor, based on the global display state, uses Vulkan instructions to perform window blending, transformation, and other processing, encapsulates global compositing units, and submits them to the HarmonyOS global compositing scheduler. The scheduler reads the global compositing units and, when the timeline semaphore meets the on-screen conditions, completes the global compositing of the container application window and the host's native window, driving the display service to output the screen.