21 results about "Resource Management System" patented technology

A request associated with accessing resources of the second party may be received at a first agent installed on a device for a first party, the being received from a second agent installed on the device for a second party. Based on the request, a signed access request that includes a refresh token previously obtained from a service of the resource management system (RMS) may be sent to the service of the RMS. The signed access request may be signed by a private key of the device. Also, a public key of the device corresponding to the private key may be registered with the service of the RMS. In response to sending the signed access request, a session token associated with accessing the resources of the second through the second agent may be received by the first agent from the service of the RMS.

This invention discloses a data processing method, a data processing system, an electronic device, and a readable storage medium. In this embodiment, after determining the resource query method corresponding to a resource query request, the terminal determines and sends a configuration acquisition request to the server based on the parameters carried in the resource query method. The server queries resource configuration information in the resource management system based on these parameters and returns the resource configuration information to the terminal, enabling the terminal to execute the received resource configuration information and obtain a first execution result, including the target resource. In this embodiment, the resource configuration information in the resource management system is obtained by decomposing interface documents. Therefore, the first execution result of the resource can be obtained based on the parameters carried in the resource query method, including the resource identifier and resource type. This improves the reusability of resource configuration information, reduces the growth rate of application programming interfaces, and thus limits the complexity of the data processing system.

This invention provides a human resource management system, human resource management method, and program that facilitate the management of output information generated by machine learning models. [Solution] In the generation step (S12-S13), the control unit generates first output information from one or more source information using a trained model. The trained model is a model that has been trained to take input information, which includes at least a portion of the source information, as input and output first output information, which includes at least a portion of the source information. In the determination step (S14), the control unit determines the attributes of the generated first output information based on the attributes of one or more source information.

A time series analysis technique for predicting computational workloads is disclosed. A resource management system monitors the computing system and acquires metric data from it. This metric data is stored as a historical data point set of the dataset. A first portion of this historical data point set includes outliers that do not correspond to seasonal patterns associated with a second portion of the historical data point set. The resource management system tests a first time series model incorporating a first exogenous variable corresponding to a first exogenous factor to determine if the first time series model fits both the first and second portions of the historical data point set within an error threshold. The resource management system then selects the first time series model to predict future data points in the dataset.

This invention provides a human resource management system, human resource management method, and program that facilitate the management of output information generated by machine learning models. [Solution] In the generation step (S12-S13), the control unit generates first output information from one or more source information using a trained model. The trained model is a model that has been trained to take input information, which includes at least a portion of the source information, as input and output first output information, which includes at least a portion of the source information. In the determination step (S14), the control unit determines the attributes of the generated first output information based on the attributes of one or more source information.

The application provides a construction method of a human resource management system, belongs to the technical field of intelligent management, and determines a person's explicit and implicit capability vector by calling third-party and self-assessment files; real-time monitoring of attendance information and operation behavior sets extracts a comprehensive fuzzy capability vector and a cross-domain coverage subset; based on the attendance authenticity correction capability vector, the fuzzy elements are corrected by clear coefficient grading; clustering analysis of the final vectors in each field and cross-domain integration realize the ordered management of human resources and the timed updating of capability. The method solves the problems of unbalanced capability evaluation, dynamic updating lag, insufficient cross-domain adaptation and other problems in traditional systems, improves the refinement of human resource management and operational efficiency, and guarantees the quality of medical services.

A resource management system is disclosed herein that quickly and dynamically tailors application resource provisioning to real-time application resource consumption. The resource management system may service application requests using resources selected from a pool of servers, the pool of servers including a mixture of virtual server resources and serverless instance resources. The serverless instance resource may comprise software objects programmed using a machine image reflecting one or more states of a virtual application server booted using application-specific program code. Supporting an application using serverless instances enables dynamic scaling of application resources to support real-time application servicing loads.

The application discloses a method, device, terminal and storage medium for sending reconciliation information, the method comprising: determining reconciliation information corresponding to an internal bill according to the internal bill generated in a current reconciliation period and an external bill corresponding to the internal bill; determining whether the reconciliation information includes first information to obtain a determination result corresponding to the reconciliation information, wherein the first information is used to indicate that the internal bill and the corresponding external bill are inconsistent; selecting at least one resource management system of to-be-processed reconciliation information according to the determination result corresponding to the reconciliation information and the length of the reconciliation period; and sending the reconciliation information to the at least one resource management system of to-be-processed reconciliation information in parallel. The application can determine the resource management system that needs to be sent based on the reconciliation information, and does not need to send the reconciliation information to all resource reconciliation systems every time, thereby reducing the waste of communication resources.

We provide the system. [Solution] A time-series management system that obtains schedule information of household members and assigns appropriate household tasks to each member, A status monitoring system that monitors the progress of household tasks in real time and reassigns or proposes new tasks according to the progress, A resource management system that acquires information on items within a storage facility through image analysis and generates a purchase list for the necessary items, A proposal method that takes into account the preferences and nutritional needs of the members, A warning system that detects an emergency and notifies members, A collaborative control means by which a machine automatically performs tasks based on a household schedule, A system that includes this.

An LCS resource function utilization optimization system includes resource devices and a resource management system that composes a first LCS using the resource devices, with the first LCS composing a second LCS using the resource devices. A LCS resource function utilization subsystem coupled to the resource devices and the resource management system enables a resource function in software provided by the resource device(s) for the first LCS. If the LCS resource function utilization subsystem identifies a second LCS resource function request for the second LCS to use the resource function and determines it will cause the use of the resource function to exceed a resource function threshold, it enables the resource function in hardware provided by the plurality of resource device(s) for the first LCS to allow resource function instructions from the second LCS to be executed in the hardware to satisfy the second LCS resource function request.

The present application relates to the technical field of human resource management, and discloses an enterprise human resource management system based on artificial intelligence; an image construction module is used to construct a periodically updated digital twin image; a scene simulation module is used to simulate an enterprise virtual scene; a feature simulation module is used to simulate internal potential features; an employee screening module is used to screen potential employees from employees; a potential prediction module is used to identify training indicators and develop training management information; the present application can dynamically generate a virtual adjustable test simulation environment, ensure that employees can conveniently perform simulation tests in a virtual environment, avoid the subjectivity and one-sidedness of employee potential assessment in traditional human resource management, reduce the workload of the human resource department in employee assessment, potential screening and training planning, improve the work efficiency of human resource management, and achieve the effects of intelligentization, precision and high efficiency of human resource management.

This invention provides a human resource management system that can handle cases where the workers are foreign nationals with specified skills. [Solution] In the human resource management system 10, the processor 34 of the management computer 15 executes: a first process of acquiring job information from the company computer 11; a second process of acquiring job seeker information from the computer 12; a third process of determining whether a recruiting company and a job seeker are a match based on the number of matching items between the items included in the personnel conditions and the items included in the employment conditions; and a fourth process of managing employment information, including actions that are legally required of one or more of the recruiting company or the job seeker, when it is determined that a match is made between the recruiting company and the job seeker, an employment contract is concluded between the recruiting company and the job seeker, the recruiting company becomes the affiliated organization, and the job seeker becomes an employee.

This invention relates to the field of computing power management, specifically to a computing power resource management system and method based on multi-platform integration. The system includes a heterogeneous collaboration module, a computing power task module, a scheduling and processing module, a node selection module, and a quality sensing module. The heterogeneous collaboration module is used for computing power node adaptation and unifying computing power costs. The computing power task module is used for processing task requests. The scheduling and processing module is used for aggregating available resources and determining the task execution order. The node selection module is used for constructing data transmission paths. The quality sensing module is used for sensing resource status information and performing load balancing management. This invention can avoid overload and idleness of computing power equipment, improve the utilization rate of all computing power equipment, reduce operational complexity, enhance the flexibility of computing power networking, optimize computing power allocation performance, flexibly adapt to the task requirements of different users, improve the reliability and fault tolerance of computing power scheduling, and enhance the stability and reliability of computer systems.

This invention discloses an AI computing resource management system and method supporting fine-grained cross-domain scheduling, relating to the field of artificial intelligence technology. It addresses the background issues of propagation latency and jitter in the process of resource status collection, aggregation, and propagation to usage by the scheduler. This leads to inconsistencies across fields in the global view and time asynchrony across nodes, resulting in a sharp increase in communication and performance crashes. It also lacks engineering guarantees for atomic start / stop and parameter consistency of cross-node container groups. The proposed solution includes constructing a global topology resource view: a multi-regional coordinator cluster based on a distributed consensus protocol synchronizes and maintains a global resource view in real time. This invention reduces erroneous scheduling caused by cross-domain status lag, avoids misjudgments caused by cross-field inconsistencies, improves the robustness of cross-domain scheduling, reduces the risk of a sharp increase in communication, and avoids catastrophic communication degradation in cross-domain multi-GPU tasks.

The present invention relates to a circular resource management system. According to the circular resource management system of the present invention, groups requiring social support can be classified and supported. In addition, the weight of recyclables can be measured after the recyclables are stably transferred.

The present disclosure provides a storage volume management method and device, a resource management system and a storage medium, and relates to the technical field of computers. The storage volume management method comprises the following steps: in the case that a mounting request for mounting a storage volume for a target container is received from a resource management component, the root path of the target container is queried; in a resource pool comprising the storage volume, a storage instance of the storage volume is initialized; and the storage instance is mounted into the target container according to the root path of the target container.

Embodiments of this specification disclose methods, apparatuses, and computer systems for performing request conversion between resource management systems. The method includes: A first resource management system generates a first request packet in a first communication format. A first field in a packet header of the first request packet indicates that the first request packet is used to request an authorized freeze on a resource, and a packet body of the first request packet includes a number ID of a to-be-executed resource transfer operation and a first token. The first resource management system sends the first request packet to an interchange system in response to determining that the first token belongs to a predetermined type. The interchange system parses the first request packet, extracts the number ID and the first token from the first request packet, determines, by querying a first data record, a first account in a second resource management system corresponding to the first token, generates a second request packet in a second communication format based on an API specification of the second resource management system, and sends the second request packet to the second resource management system. The second request packet is used to call a target API, and a call parameter field of the second request packet includes the number ID and the first account. The second resource management system parses the second request packet based on the API specification, extracts the number ID and the first account from the call parameter field, and executes a target operation of a function corresponding to the target API on the first account.

A graph-modeling-based LCS component policy monitoring system includes resource devices coupled to a resource management system that uses the resource devices to compose an LCS that includes LCS components. The resource management system then generates an LCS component monitoring graph model that includes respective LCS component graph model nodes identifying each LCS component, and a respective LCS component policy graph model node connected to each respective LCS component graph model node via a respective graph model edge and identifying a policy for the LCS component identified by its connected respective LCS component graph model node. The resource management system then provides, for each of the LCS components, a respective agent that monitors that LCS component and determine whether the policy identified by the LCS component policy graph model node connected to the LCS component graph model node identifying that LCS component in the LCS component monitoring graph model is violated.

The application relates to the field of map resource management and discloses a map resource management system and method. The map resource management system comprises a driving environment acquisition module, a safety prediction module and a driving map generation module. The driving environment acquisition module acquires the driving environment of a driving section, wherein the driving environment comprises traffic participants and road conditions, the traffic participants comprise driving vehicles, riding vehicles and pedestrians, and the road conditions comprise building structures, road surface conditions and traffic signal lamp conditions. The safety prediction module creates a safety prediction model according to the driving environment and obtains a real-time safety prediction value. The driving map generation module generates a driving strategy with the highest safety according to the real-time safety prediction value, wherein the driving strategy comprises a driving state, a driving position and a driving speed, and generates a driving map based on the driving strategy. The application can improve the safety of vehicle driving.