644 results about "Shared resource" patented technology

The invention relates to a multimodal transport end-to-end supply chain collaborative management method based on container logistics, and belongs to the technical field of supply chain management. The method comprises the following steps: virtually integrating scattered cargo owner demand, carrier transport capacity and transit point operation capability resources through a cloud computing platform to form a shared resource pool, and constructing a dynamic collaborative network; performing intelligent matching and scheduling on the shared resource pool through a contribution degree distribution mechanism to obtain a supply chain full-link state; dynamic routing optimization is carried out according to the full-link state of the supply chain, and optimal path selection is carried out on the transportation mode of container logistics based on the business process of multimodal transportation; a task is automatically decomposed through an intelligent contract and issued to a node, a carrier automatically uploads a voucher through an RFID gate after completing the node task, and the contract verifies the voucher and then triggers a next node task. Seamless connection and efficient collaboration among all nodes of the supply chain are achieved, and the transportation efficiency and reliability of container logistics are improved.

The invention provides a multi-transaction deadlock detection and processing method in resource-constrained equipment, which comprises the following steps of: in a transaction execution process, constructing a resource waiting graph which is used for recording a waiting relationship among transactions so as to reflect the occupation condition of shared resources by the transactions and a dependency relationship among the transactions; before a transaction is subjected to read-write operation each time, whether execution of the current transaction can cause a deadlock risk or not is judged in real time by detecting a dependency relationship between the current transaction and a target resource and combining a resource waiting graph; and when a deadlock risk is detected, deadlock avoidance strategies of priority processing, transaction rollback, transaction retry and exception processing are adopted to avoid deadlock. The deadlock problem occurring in the transaction parallel processing process can be effectively avoided or solved, and meanwhile the response efficiency of the application and the utilization rate of the storage space are guaranteed.

The invention relates to the technical field of shipbuilding production site management, in particular to a digital intelligent factory management method and system, and the method comprises the steps: building a configurable product structure model, a work decomposition structure model and a technological process model for each ship type, and carrying out the real-time sensing and automatic data collection of parameters of a production site; establishing a uniform resource pool, and marking attributes of resources; dynamically evaluating the requirements of different ship types on shared resources in combination with plans and real-time production states; carrying out resource allocation by using an optimization algorithm; the execution state of each process task is monitored in real time, and key production data is automatically collected; and visually displaying each ship type, the construction progress of each section, the critical path, the resource state and the risk early warning information in real time through a billboard, an instrument panel and a report form. According to the invention, through multi-ship-type unified modeling, real-time data perception and intelligent optimization scheduling, collaborative management, cost reduction and benefit increase in the ship building process are realized.

Methods, systems, and devices for wireless communications are described. A user equipment (UE) may operate in an unlicensed spectrum, and may operate in a frame based equipment (FBE) mode or a load based equipment (LBE) mode. The UE may communicate with other UEs using sidelink communication links (e.g., without base station control) during a channel occupancy time (COT) and according to a fixed frame period (FFP) configuration or structure. To avoid transmission conflicts during COTs, a UE may obtain (e.g., receive) other UE FFP configurations from the other UEs, from a base station, or both. Additionally or alternatively, the UE may indicate a set of resources to other UEs that may be shared for a sidelink transmission. For example, each UE may be able to transmit sidelink communications during different portions of the set of resources so that conflicts may be avoided.

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.

A computing node includes network interface circuitry and processing circuitry. The processing circuitry assigns available computing resources to a plurality of slice contexts. Each slice context of the plurality includes resource allocations of the available computing resources associated with multiple communication networks. A first portion of the resource allocations is designated as dedicated resources and a second, remaining portion is designated as shared resources. A FAFO event associated with a workload is detected. The workload executes on a network slice instance (NSI) associated with a slice context of a subset of slice contexts. The configuration of the NSI is restored to a pre-FAFO event state based on reconfiguring one or both of the dedicated resources or the shared resources of the slice context based on the resource allocations of at least a second slice context in the subset of slice contexts.

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.

The invention provides a production construction material data sharing method and system based on cloud computing, and the method comprises the steps: generating a multi-dimensional feature space of a production construction material, carrying out the cross-level feature association processing of the multi-dimensional feature space through a cloud computing platform, and generating a material construction sharing association map; establishing a sharing demand prediction model based on the material construction sharing association map, and outputting material data sharing demand sequences of different construction stages; generating a material data sharing task list containing priority ranking according to the material data sharing demand sequence; and mapping the material data sharing task list to a preset cloud sharing resource pool, and generating a material data sharing strategy containing the resource scheduling parameters. According to the invention, dynamic matching from demand prediction to resource scheduling is realized, a traditional static resource allocation mode is replaced, and the adaptability of demands and resources in a material data sharing implementation process is improved.

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.

Methods of arbitrating between requestors and a shared resource wherein for each processing cycle a plurality of select signals are generated and then used by decision nodes in a binary decision tree to select a requestor. The select signals are generated using valid bits and priority bits. Each valid bit corresponds to one of the requestors and indicates whether, in the processing cycle, the requestor is requesting access to the shared resource. Each priority bit corresponds one of the requestors and indicates whether, in the processing cycle, the requestor has priority. Corresponding valid bit and priority bits are combined in an AND logic element to generate a valid_and_priority bit for each requestor. Pair-wise OR-reduction is then performed on both the valid bits and the valid_and_priority bits to generate additional valid bits and valid_and_priority bits for sets of requestors and these are then used to generate the select signal.

The embodiment of the invention discloses a network sharing method and device, equipment and a computer readable storage medium. A first operator is an operator providing shared resources, a second operator is an operator participating in sharing, in the embodiment of the application, a core network element of the first operator is connected with a core network element of the second operator, and a signing terminal of the second operator is connected with a core network of the first operator through an access network of the first operator. The core network of the second operator does not need to be directly connected with the access network of the first operator, so that the system complexity is reduced on the premise of realizing network sharing. Moreover, the network element of the core network of the first operator shares the network interaction information of the signed terminal of the second operator to the network element of the core network of the first operator, so that the first operator provides business service for the signed terminal of the first operator according to the network interaction information.

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.

The invention relates to an industrial wireless network deterministic scheduling method and device, equipment and a storage medium. The method for deterministic scheduling of the industrial wireless network is used for a first wireless device in the industrial wireless network. The method comprises the following steps: sending service data to a second wireless device in the industrial wireless network by using a transmission resource; under the condition that the service data needs to be retransmitted, determining shared resources of a user group corresponding to the service data; and sending retransmission data corresponding to the service data to the second wireless device by using the shared resource. By adopting the method, the transmission reliability and the resource utilization rate of the service data can be improved.

Methods and systems for a networked storage system are provided. One method includes predicting an IOPS limit for a plurality of storage pools based on a maximum allowed latency of each storage pool, the maximum allowed latency determined from a relationship between the retrieved latency and a total number of IOPS from a resource data structure; identifying a storage pool whose utilization has reached a threshold value, the utilization based on a total number of IOPS directed towards the storage pool and a predicted IOPS limit; detecting a bully workload based on a numerical value determined from a total number of IOPS issued by the bully workload for the storage pool and a rising step function; and implementing a corrective action to reduce an impact of the bully workload on a victim workload.

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.

An apparatus and system of providing a sidelink position reference signal (SL PRS) and Physical Sidelink Control Channel (PSCCH) transmission are described. The PSCCH, which carries sidelink control information (SCI), and SL PRS are time division multiplexed (TDMed) in a particular slot. The PSCCH is transmitted in a dedicated resource pool for SL PRS that includes a dedicated resource region allocated for the PSCCH transmission. The SL PRS is transmitted in a shared resource pool for SL communication and the SL PRS. A SL PRS resource index is indicated in a second stage SCI carried by a Physical Sidelink Shared Channel (PSSCH), which is TDMed with the PSCCH and the SL PRS. A starting symbol and / or length of the SL PRS is predefined in the 3 GPP specification or (pre-)configured by higher layer signaling.

There is provided an apparatus comprising at least one processor and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus, that is capable to perform sidelink, SL, transmissions according to a second radio access technology, RAT, over resources shared with SL transmissions according to a first RAT, at least to determine whether to perform SL sensing according to the first RAT over at least said shared resources prior to resource selection from said shared resources for SL transmissions according to the second RAT, the SL sensing according to the first RAT comprising decoding SL control information, SCI according to the first RAT.

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.

In multi-threaded or multi-processor computing systems, a deadlock may occur when two or more processes or threads are unable to proceed because they are each waiting for a resource that the other holds. As a result, progress is halted because conflicting entities are stuck in a circular dependency, and none can release the resources they hold to let the others continue. Systems and methods are provided wherein a resource reservation is carried out in two steps. The first step causes query nodes to add an identifier to a queue and, upon a request and the identifier being in a first position, a non-sharable resource is reserved. As a result, non-sharable resources are reserved in order and when needed, thereby preventing deadlocks.

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.

Techniques and apparatus for improved computing resource allocation are provided. In an example method, a first machine learning training (MLT) job awaiting assignment to computational resources is identified, the computational resources comprising a plurality of processor components. A first resource utilization of the first MLT job is determined, and a second resource utilization of a second MLT job being executed by one or more processor components of the plurality of processor components is determined. In response to determining that an aggregate of the first resource utilization and the second resource utilization is below a capacity of the one or more processor components, the first MLT job is assigned to the one or more processor components, where the first MLT job and the second MLT job share the one or more processor components, and the first MLT job is dispatched for execution using the one or more processor components.

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.