336 results about "Resource allocation (computer)" patented technology

A technique of allocating shared resources in a computer network-based storage system comprises taking periodic performance samples on a running storage system; evaluating an objective function that takes as input the performance samples to quantify how aligned a current state of the storage system is with organizational objectives; building and maintaining models of behavior and capabilities of the storage system by using the performance samples as input; determining how resources of the storage system should be allocated among client computers in the storage system by selecting one among many possible allocations based on predictions generated by the models in order to maximize a value of the objective function; calculating a confidence statistic value for a chosen resource allocation based on an accuracy of the models; and enforcing the chosen resource allocation on the running storage system when the confidence statistic value is at or above a predetermined threshold value.

Computer-implemented methods for allocating resources to items are provided. One or more assignment scores for each item/resource pair are determined by applying one or more application-specific strategies to each item/resource pair using game theory. A cost matrix is created by first summing the assignment scores for each item/resource pair and then multiplying each assignment score sum by an assignment cost associated with assignment a particular resource to a particular item. Finally, an assignment solution is found by applying a Hungarian method to the cost matrix.

The invention discloses a distributed parallel computing method and system for physical implementation of a large scale integrated circuit. According to the method, physical design problems of different stages are divided into sub-problems on a host, different division methods are applied to the different stages, then the sub-problems are sent to distributed servers by the host in a network communication mode to be computed, and computing results are sent back to the host. The host and a computing cluster are respectively provided with a servo management program, the program is an impotent component of a distributed computing frame and is in charge of management of distributed computing resources, and management of the distributed computing resources comprises resource allocation, resource recovery and the like. According to the distributed parallel computing method and system for physical implementation of the large scale integrated circuit, the physical design problems of a super-large scale integrated circuit can be solved rapidly and effectively, physical design efficiency of the integrated circuit can be improved greatly, and rapider and more-effective physical design of the large scale integrated circuit can be achieved compared with multithreading computing on a single computer.

An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

The present disclosure relates to a tool for increasing efficiency of development and upskilling of developers of software. The system may be configured to identify minimum. skills for development of a software tool, identify elements of the software tool to be provided, establish a maximum timeline for completion of the elements of the software tool, based on the elements identified, and determine a proficiency status level appropriate to complete the development of the software tool based on both the identified skills and the elements.

[Problem] To provide a parallel processing device for improving the operation rate of each core in a computation device having a plurality of processor cores in a process in which there are a large number of tasks that can be processed in parallel even though parallelism within the tasks is low.

[Solution] This invention is provided with: a divided task acquisition unit (101) for acquiring tasks into which an application has been divided; a simultaneous-execution task number setting unit (102) for setting the number of simultaneously executed tasks in each thread array; an in-array thread number setting unit (103) for setting the number of threads in each thread array; a total-number-of-arrays setting unit (104) for setting the total number of arrays; a thread array control unit (105) for generating the threads and thread arrays; a resource allocation unit (106) for securing a resource for the number of simultaneously executed tasks in each of the thread arrays; a processing task determination unit (107) for determining the task to be processed by each thread; and a task execution unit (108) for causing the task thus determined to be executed by each of the threads.

The invention relates to a task processing method and device, computer equipment and a storage medium. The method comprises the steps of obtaining at least one to-be-executed task and corresponding attribute information; inputting each to-be-executed task and corresponding attribute information to the trained resource prediction model, and outputting at least one piece of candidate resource information, the candidate resource information comprising a candidate resource type and a corresponding candidate occupation duration; acquiring current resource information of a plurality of data centers;and determining target resource information of each to-be-executed task according to the candidate resource information of each to-be-executed task and each current resource information. The resources of the to-be-executed task are predicted through the resource prediction model; the corresponding prediction information is obtained, the prediction information and the current resource informationare matched to obtain the target resource information, and the to-be-executed task is executed in the data center corresponding to the target resource information, so that the reasonability of resource allocation is ensured, and the data processing efficiency and the resource utilization rate are improved.

The invention discloses a dynamic global traffic limiting method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining request processing data of each server in a server cluster in a current time window; according to the request processing data of each server in the current time window, determining a total traffic limitingthreshold of the server cluster in the next time window and a resource allocation proportion of each server; determining a traffic limiting threshold of each server in the next time window accordingto the total traffic limiting threshold and the resource allocation proportion of each server; and executing a traffic limiting operation on each server according to the traffic limiting threshold ofeach server in the next time window. According to the embodiment, the total traffic limiting threshold of the server cluster and the traffic limiting threshold of each server can be automatically adjusted according to the request processing data of each server in the server cluster, so that the traffic limiting effect is greatly improved.

The invention provides a method and a device for allocating and acquiring sidelink resources, and a computer readable medium. The allocation method comprises: first UE receives a sidelink resource allocation request message multicast by second UE; selecting sidelink resources corresponding to the sidelink resource allocation request message; and multicast or broadcast of a sidelink resource allocation response message is carried out, the sidelink resource allocation response message indicating the selected sidelink resources. The acquiring method comprises the steps that the second UE judges whether data to be sent exist or not; if so, multicast of the sidelink resource allocation request message is carried out to request transmission of the sidelink resources required by the to-be-sent data; and receiving the sidelink resource allocation response message from the first UE, wherein the sidelink resource allocation response message comprises sidelink resources selected by the first UE for the second UE. By adoption of the scheme of the invention, the UE in the NR-V2X technology can realize selection, allocation and acquisition of the sidelink resources.

The invention provides an interaction system, method and device, computer equipment and a storage medium. The interaction method comprises the steps of acquiring and displaying game data of a target game in a target live streaming room; wherein the target live streaming room is used for live streaming the game match of the target game; in response to triggering of the resource allocation event bythe user, generating resource allocation information; wherein the resource allocation information is used for allocating virtual resources to a virtual role associated with a live streamer in the game; sending the resource allocation information to a game server through a live streaming server to enable the game server to allocate the virtual resources. According to the embodiment of the invention, a user can allocate virtual resources to the live streamer in a game at the live streaming end, and the method is higher in interactivity.

The embodiment of the invention provides a disk read-write resource allocation method, device and equipment and a computer readable storage medium, and relates to the technical field of cloud. The method comprises the steps of determining a partition identifier of a target disk partition corresponding to a host according to a host identifier, a first mapping relationship between the host and a virtual device, a second mapping relationship between the virtual device and a preset namespace and a third mapping relationship between the preset namespace and a disk partition of a disk in sequence; and allocating a target disk partition corresponding to the partition identifier to the host, and responding to the read-write request in the read-write request queue through the target disk partition.Through the method and the device, dynamic division of the resources allocated to the read-write request queue can be realized, so that read-write load balance of each preset namespace is realized.

The embodiments of the invention provide a method and apparatus for generating a flow for allocating resources, and relates to the technical field of computers. The method herein includes the following steps: receiving request information of resource examination and approval submitted by a user; acquiring a user marker of the user; based on the acquired user marker, matching a credit grade corresponding to the user marker in a preset database, wherein the database records the corresponding relationship between the user marker and the credit grade, and the credit grade is obtained by acquiring historical information of resource examination and approval of the user; based on the matched credit grade, matching a corresponding office automation office examination and approval template; and based on the nodes of an office automation flow contained in the matched office automation examination and approval template and the relations among the nodes, generating an office automation examination and approval flow corresponding to the request information. According to the embodiments of the invention, the method herein can increase the efficiency of resource allocation.

The embodiment of the invention discloses a method and device for allocating server resources, electronic equipment and a computer readable storage medium, and relates to the technical field of cloudplatforms, cloud environments, containerization and resource allocation. A specific embodiment of the method comprises the steps of obtaining a container group creation request initiated by a user forcreating a target container group; determining the demand quantity of server resources and the residual quantity of the server resources of the user according to the container group creation request,wherein the remaining amount comprises at least one of exclusive server resources and shared server resources; performing quality rating on each server resource in the surplus, and selecting a targetserver resource corresponding to the demand quantity according to the obtained actual rating; and allocating the target server resources to the user for creating the target container group. Accordingto the embodiment, the requirements of different tenants can be flexibly met under a complete large cluster through the simple classification setting, the utilization rate of server resources is improved, and the cost is reduced.

A computer, control device and data processing method; the computer comprises a processing unit and a control device; the processing unit is used to add a label to an application request and to transmit to the control device the application request with the label added; and the control device is used to receive the application request with the label added, to determine, according to the label and a pre-stored resource allocation policy, the quantity of resources to be allocated for the application request, and to instruct the components of the computer to process the application request according to the quantity of resources allocated for the application request, the above resource allocation policy comprising a corresponding relationship between the label and the quantity of resources allocated for the application request. The computer, the control device and the data processing method are used to improve the service quality of an application request.

The invention discloses a lightweight BIM prefabricated part full life cycle comprehensive information management system. The system comprises a lightweight BIM management module, a lightweight BIM processing module, a lightweight BIM data management module, a lightweight BIM construction progress dynamic management module and a lightweight BIM monitoring measurement module. Based on the advantages of visualization, digitization, multi-dimension, coordination, whole-process simulation and the like of the BIM technology, geometric information, functional attributes and process information of engineering objects are completely expressed, reproduced, transmitted and shared, co-governance, co-management and coordination of all participants of a construction project on the same target object and a single engineering data source can be supported. A sharing platform is provided for design construction, resource allocation, construction simulation and monitoring measurement; according to the system, the running speed of a processing computer can be increased, memory consumption is reduced, the response speed is high, and the error and rework probability caused by participation of multiple units can be reduced.

Provided is a resource allocation determination method for a VM/container, volume, and the like created as a new VM/container or volume without exceeding an upper limit of a computer resource of a node in an HCI environment. In order to determine allocation of at least one of a virtual machine, a container, and a volume in a system of the HCI environment, a use state of a computer resource shared by a virtual machine and a storage controller operating on each node is managed, and an allocation destination node of the new virtual machine, container, or volume is determined based on the use state without exceeding an upper limit of a computer resource of the allocation destination node.

The invention relates to a computer technology field and a data security access method in a cloud computing environment. The method is characterized in that the method includes the following steps that: step1 cloud users send cloud server data resource query requests to a cloud platform; step2 a cloud platform preposed module identifies the query requests, and a resource manager determines whether an accessible congener cloud server data resource exists or not, if there is the accessible congener cloud server data resource, forming a congener cloud server resource allocation information list; if not, automatically configurating the cloud server data resource for the cloud users, and authorizing the cloud users to access the resource; and step3 the cloud users select a target cloud server which the cloud users need access to according to the congener cloud server resource allocation information list , and the cloud users get access to the target cloud server data resource through authorizing the target cloud server to read and write local data. The cloud users access the target cloud server data resource.

The invention relates to the technical field of computers, and provides a Target end selection method, a distributed cluster system and a computer readable medium. The Target end selection method is used for selecting a Target end running a Target process in a node responding to an access request initiated by a client in the distributed cluster system. The selection method comprises the following steps: monitoring and storing the use state of a node, receiving a configuration strategy issued by an Initiator process from a client, calling the use state of the node, and determining and matching a Target end adapted to an access request initiated from the client according to a node selection strategy. According to the invention, when each node in the distributed cluster system is disconnected from the client, the available Target end can be automatically selected from the distributed cluster system, so that the problem of unbalanced resource allocation among the nodes of the whole distributed cluster system after the available Target end is selected is avoided.

The invention discloses a resource allocation method of a virtual machine, a server and a computer readable storage medium, the virtual machine runs on the server, the resource allocation method of the virtual machine comprises the following steps: obtaining identification information of each virtual machine, the identification information being used for distinguishing a first type of virtual machine and a second type of virtual machine, the first type of virtual machine being a virtual machine of which the performance needs to be improved during resource allocation, and the second type of virtual machine being a virtual machine of which the performance needs to be reduced during resource allocation; and allocating resources of each virtual machine according to the identification information, so that the performance of the first type of virtual machine is higher than that of the second type of virtual machine. Therefore, the performance of the virtual machine of the specific type can be improved during resource allocation.