484 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.

The disclosed computing device can include collection circuitry configured to collect current resource utilization per shared resource location. The computing device can also include formulation circuitry configured, using expected resource utilization information of a new workload and the current resource utilization, to provide a scheduler with one or more expected utilization metrics. Various other methods, systems, and computer-readable media are also disclosed.

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 a GTX Quad resource multiplexing method and system based on a Xilinx FPGA. The method comprises the steps that a public configuration module of a GTX transceiver in a protocol IP core is stripped into an independent shared resource module; constructing a standardized interface bus for connecting each protocol IP core with the independent shared resource module; dynamically allocating resource information of the quaternary phase locked loop and the channel phase locked loop according to a protocol rate demand; and deploying a priority arbitration state machine in each channel in the Quad, monitoring protocol bandwidth requirements of each channel, and performing configuration snapshot switching based on the protocol bandwidth requirements so as to realize time division multiplexing of GTX Quad resources. According to the method and the device, the common configuration module is decoupled into the independent shared resources, the standardized interface bus is constructed, the clock resources are dynamically allocated, and the snapshot is configured in a time division multiplexing manner, so that the problems of resource monopolization limitation and insufficient protocol compatibility in the prior art are solved, the GTX Quad resource multiplexing rate is improved, and multi-protocol dynamic switching can be supported.

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.

The invention relates to the technical field of computing resource scheduling, in particular to a GPU server resource dynamic allocation management method, device and equipment and a medium, the GPU server resource dynamic allocation management method comprises the steps of extracting a jump path to divide task migration segments, matching path repeated tasks in a thread, screening overlapped tasks in combination with scheduling and residence time, and performing dynamic allocation management on GPU server resources. And analyzing a resource access trend to identify scrambling stable combinations, and associating address frequencies to generate a dynamic allocation list. According to the method, the behavior similarity among multiple tasks is identified by extracting the jump path among the tasks and performing repetition analysis, the dense overlapping interval of task execution is accurately delimited by means of cross mapping of task scheduling time and path residence time, and the task performance of the multiple tasks is determined in combination with the derivative judgment mode of the change trend of the access frequency of the shared resources. And identifying a task combination with stable resource scrambling behavior distribution, and establishing a dynamic binding strategy between the task and the GPU address resource based on the joint sorting of the address access frequency and the residence duration.

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 provides a real-time monitoring and root cause positioning method and system for software defects. The method comprises the following steps: collecting real-time monitoring data of a software processing thread, and generating a thread competition thermodynamic diagram for identifying a shared resource contention point through time sequence association processing; triggering a server memory bus embedded hardware detection device based on a contention point to dynamically capture a locking state transition signal, and converting the locking state transition signal into a locking event sequence; constructing a locking contention track diagram according to timestamp sorting, and completely displaying a process path of a locking mechanism from obtaining to releasing; constructing a dependency topological structure of the thread and the lock based on the trajectory graph, and identifying a resource contention chain; and mapping the contention chain into an unsynchronized shared variable access path in the source code, and triggering a real-time alarm signal. According to the method, the access path of the unsynchronized shared variable is accurately positioned, the lock competition diagnosis efficiency is improved, and the system deadlock risk is zeroed.

Systems, methods, devices, and instrumentalities are described herein related to configured (e.g., pre-configured) uplink resource sharing in non-terrestrial networks (NTNs). A wireless transmit / receive unit (WTRU) may be configured to receive a first preconfigured uplink resource (PUR) configuration from a first NTN cell. The first PUR configuration may indicate whether at least one resource is available on the first NTN cell and / or a second NTN cell. The WTRU may select the second NTN cell. The WTRU may receive a second PUR configuration from the second NTN cell. The second PUR configuration may include at least one of a dedicated PUR resource or a shared PUR resource. Based on the first PUR configuration and the second PUR configuration, the WTRU may determine whether a dedicated PUR resource is available. Based on a determination, the WTRU may transmit an early data transmission (EDT) request using the dedicated PUR resource.

The invention provides a task scheduling method, a task scheduler, a processing device, electronic equipment and a medium, the method is applied to the task scheduler in the processing device, and the method comprises the following steps: comparing second task priorities of a first task queue and a second task queue, and determining a priority comparison result; according to the priority comparison result, a load timeout result of a target task queue is determined, and the target task queue is a task queue with a high priority or an equal priority in the first task queue and the second task queue; determining a task boundary judgment result of the first task queue according to the shared resource use information of the first task queue; according to the priority comparison result, the load timeout result and the task boundary judgment result, determining a scheduling result of a first task to be executed currently in the first task queue; and under the condition that the scheduling result is that issuing is allowed, issuing the first task to the back-end module. According to the embodiment of the invention, the task scheduling efficiency can be improved.

The invention provides a resource scheduling method, device and equipment. The method comprises the following steps: acquiring a plurality of historical resource scheduling data corresponding to a plurality of users; obtaining a predicted resource demand quantity of each user according to the historical resource scheduling data of each user, and pre-allocating buffer resources for each user according to the predicted resource demand quantity; when a service processing request of a target user is received, calling a target buffer resource from the buffer resources corresponding to the target user, responding to the service processing request based on the target buffer resource, and matching the service processing resource corresponding to the service processing request in a shared resource pool shared by multiple users; and when the initialization of the service processing resource is completed, taking over a service processing operation corresponding to the service processing request based on the service processing resource, and releasing the target buffer resource. According to the resource scheduling method and device, the user request response delay is reduced, resource scheduling with high real-time performance, high flexibility and high resource utilization rate can be realized, and the applicability is high.

Methods, apparatus and computer-readable medium are disclosed for collision avoidance supporting contention based direct Msg3 transmission. In an embodiment, there is provided a method performed by a terminal device. The method comprises receiving, from a network node, parameter information, rule information and shared resource information for a direct Msg3 transmission, wherein the rule information indicates a relationship between the parameter information and the shared resource information. The method further comprises determining shared resources to be used for a direct Msg3 transmission based on the parameter information, the rule information and the shared resource information; and in response to the determination that no shared resource is available for the terminal device, falling back to a legacy random access procedure.

The invention provides a system management method and device, a vehicle and a storage medium, relates to the technical field of computers, and is used for solving the problem of abnormal restart of a system. The system management method is applied to an operating system, a user space of the operating system comprises a first process, and a first thread lock and a second thread lock are arranged in the first process; the method comprises the steps that under the condition that a target event is monitored, the state of a first thread lock is obtained, under the condition that the state of the first thread lock is a non-locking state, a first shared resource is accessed to process the target event, and the target event is a storage event related to pluggable storage equipment; and acquiring the state of the second thread lock under the condition that the monitoring event of the first process is monitored, and restarting the operating system under the condition that the state of the second thread lock is determined to be a deadlock state.

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.

In a 802.11 be 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.

According to the distributed lock optimization method and device, the equipment and the storage medium provided by the invention, the locking request of the client thread is received at the target service node, the lock state is preferentially queried in the local thread variable, and if the lock state does not exist, locking is initiated to the shared Redis cluster, so that an invalid network request can be avoided, and the user experience is improved. Communication delay and resource overhead in a distributed environment are reduced; redis is used for centralized lock management, so that other service nodes can be effectively prevented from accessing a locked object, and cross-node mutual exclusion control is realized; after the lock is successfully locked, the lock renewal instruction is regularly sent in an asynchronous mode, so that service interruption caused by automatic release of the lock due to overtime can be prevented, the continuous effectiveness of the lock in a service processing period is ensured, and the security and the stability of access to shared resources in a distributed system are improved.

A cyber security system includes an importance node module to compute and use graphs to compute an importance of a node based on factors including a hierarchy and a job title of the user, aggregated account privileges from network domains and a level of shared resource access for the user. The graphs are supplied into an attack path modeling component to understand an importance of the network nodes and determine key pathways within the network that a cyber-attack would use, via a modeling the cyber-attack on a simulated and a virtual device version of the network. The cyber security system provides an intelligent prioritization of remediation action to a remediation suggester module to analyze results of the modeling the cyber-attack for each node and suggest how to perform intelligent prioritization of remediation action on a network node in one of a report and an autonomous remediation action.

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 application relates to the field of electronic technology and discloses a metadata caching method, system, device, equipment and medium in a database. The method comprises the following steps: obtaining first metadata of a first process and second metadata of a second process in a target database, wherein the first metadata comprises first system directory data, and the second metadata comprises second system directory data; storing at least one target tuple data existing in the first system directory data of the first process and the second system directory data of the second process into a first shared resource pool; and the first process and the second process only need to store address information of the target tuple data in the first shared resource pool in corresponding local caches, and do not need to store the target tuple data in respective local caches, so that the memory occupation of metadata caching in the database is effectively reduced, and the problem of excessive memory occupation caused by redundant metadata copies cached by each process in the prior art is solved.

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.

This application discloses a resource allocation method, apparatus, and non-volatile storage medium. The method includes: determining a primary carrier and a target slice number corresponding to the primary carrier; determining key indicators associated with the slice corresponding to the target slice number based on the primary carrier, wherein the key indicators include multiple quality indicators; determining an activation type for shared resource allocation based on the key indicators, wherein the shared resources are resource blocks shared by the primary carrier and secondary carriers under the slice corresponding to the target slice number; determining the secondary carrier corresponding to the activation type and a resource allocation strategy corresponding to the activation type; and allocating resource blocks to the primary carrier and secondary carriers under the slice corresponding to the target slice number based on the resource allocation strategy. This application solves the technical problem in related technologies where slice-level cross-carrier spectrum sharing resource allocation methods cannot be implemented.

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.