211 results about "Resource analysis" patented technology

A computer system and method is disclosed for collecting resource rate information associated with a plurality of resource profiles and providing resource rate statistical data for a specific resource profile via a web-based interface. Each resource profile is defined from hierarchical profile selections to identify a job category, and each job category has one or more skills associated therewith. A database maintains the resource profiles and associated resource rate information. The resource rate information is collected from a variety of sources, including business entities that interface with the database to upload actual resource rate information (e.g., actual salaries, wage rates and other compensation information) for one or more resource profiles associated with the business entity.

An apparatus and method for the event-driven analysis of media contents derived from customer interactions is disclosed. Content analysis is executed exclusively on those segments of the interaction media that are relevant in a given context. The steps of the analysis are carried out either in a static or dynamic manner where less demanding on resources analysis type is performed prior to more demanding analysis type.

A system for gathering data for purposes of analyzing a network. The data is gathered based on values that are passed from node-to-node within processing devices, such as servers, in a network. The values are generated from characteristics obtained from measuring device performance and resource utilization. Values are passed peer-to-peer and successively combined with values at each receiving system so that, ultimately, a value is obtained that reflects the operation of a group of devices. A correlation matrix is maintained to indicate discrepancies in value meanings from different devices. The correlation matrix is used to more accurately combine values to achieve meaningful composite values.

A system and associated method for continuously optimizing data archive management scheduling. A job scheduler receives, from an archive management system, inputs of task information, replica placement data, infrastructure topology data, and resource performance data. The job scheduler models a flow network that represents data content, software programs, physical devices, and communication capacity of the archive management system in various levels of vertices according to the received inputs. An optimal path in the modeled flow network is computed as an initial schedule, and the archive management system performs tasks according to the initial schedule. The operations of scheduled tasks are monitored and the job scheduler produces a new schedule based on feedbacks of the monitored operations and predefined heuristics.

Methods and apparatus are provided for generating an access control policy data structure for a single-authorization-query access control system from a source policy data structure of an access control system in which primary authorizations can be subject to auxiliary constraints. Authorizations in the data structures are defined in terms of subject, resource and action elements. For each resource in a set of resources in the source policy data structure, the data structure is analyzed to identify primary authorizations relating to that resource. For each primary authorization, policy data which represents a policy defining an access rule expressing that authorization is generated and stored in system memory and analyzed to identify any auxiliary constraints associated with that primary authorization. For each auxiliary constraint so identified, policy data is generated and stored in system memory.

The present invention discloses a mine digitlization production management and control system and method. The present invention provides a mine digital management and control system and a digital management and control method applied to the system. The management and control system comprises a geological resource analysis subsystem, an ore blending subsystem and a management and control subsystem; the geological resource analysis subsystem generates a geological resource module according to acquired geological samples; the ore blending subsystem automatically generates an ore blending scheme; and the management and control subsystem monitors, adjusts and manages mine work in real time according to the geological module and the ore blending scheme. The method comprises the steps of generating the geological resource module after analysis, simulation and prediction according to the acquired geological samples; automatically generating the ore blending scheme according to the geological resource module; and monitoring, adjusting and managing the mine work in real time according to the geological module and the ore blending scheme. The system and method manage and control mining production on the basis of geological base data, so that the ore blending result is more accurate, mining work precision and efficiency are improved, mining loss dilution rate is reduced, and efficient work management is achieved.

The invention discloses a method and system for analyzing multiple-network relation. Firstly, a routing protocol is acquired through a virtual router so as to find a network device, real-time monitoring and diagnostic analysis of a protocol state of the network device is performed, and an alarm is given when anomalous change occurs. Interdisciplinary alarm correlation analysis of a bearing network, a signaling network and a transmission network is performed. When the network device shuts down, a network device associated with the network device in a network is subjected to resource analysis and positioning, impact level is judged, and impact result state information is shown in a topological interface. By adopting the technical scheme, powerful support is provided for quick fault position and repair, an impact range of the whole network can be comprehensively and accurately mastered, customer perception is effectively improved, and the network is ensured to operate in high-stability, high-quality and high-efficiency mode.

The embodiments of the invention disclose a cloud platform resource self-adaptive early warning method and system. The method comprises: a node management unit, according to a first preset period, acquiring various resource consumption data of a physical machine and each virtual machine and reporting to a resource analysis early warning server; the resource analysis early warning server, according to a second preset period, analyzing the various resource consumption data and predicting the various resource consumption data of the physical machine and each virtual machine at each acquisition point in the future; monitoring the operation load of the physical machine in real time, and if the operation load exceeds an early warning threshold, acquiring the various resource consumption data of each virtual machine at current time and analyzing whether a change rate is greater than one compared to previously predicted various resource consumption data; if the change rate is greater than one, repredicting the various resource consumption data of each acquisition point in the future; and when predicted various resource consumption data exceeds a preset alarm threshold, carrying out event notification. According to the embodiments of the invention, the various resource consumption data of the virtual machines in the future can be predicted and analyzed, thus support is provided for regular adjustment of resource distribution.

The invention provides a method for analyzing and designing a green building. In the method, a series of preliminary design conditions are provided for the design of the green building by computer-assisted design and multi-physical model analysis, and the optimal design conditions of the green building are obtained by weight calculation and analysis; based on the exterior environment of the building, weather conditions and various local renewable energy source conditions, the sorts and rules of available renewable resources can be obtained by establishing a sunlight analysis model, a wind field mathematic model, a noise physical model, a thermal conductivity effect analysis model, an interior daylight physical analysis model, a resource analysis model and the like, and inputting the basic data of rainfall, solar radiation intensity, wind speed, wind direction, geological exploration and the like; the feasibility of the utilization of geothermal resources and the renewable resources is obtained according to the calculation results of the resource analysis model; and on the basis of the feasibility, the final design of the shape of the green building is performed so as to provide boundary condition guide for the design of the green building.

The invention provides equipment, a method and a system for dispatching of computer operation. The equipment comprises an operation dispatching module and a resource analysis module. The operation dispatching module is used for confirming required quantity of operated physical machines and/or virtual machines according to operation requests submitted by users and transmitting the required quantity to the resource analysis module. The resource analysis module is used for dispatching the physical machines and/or the virtual machines in the system to execute operations according to the required quantity and computer resource using conditions in the system. The equipment, the method and the system can provide uniform dispatching operation for the physical machines and the virtual machines in the system, and sufficiently utilize resources of the system.

The invention provides a service monitoring method based on a cloud resource monitoring platform, a service monitoring subsystem based on the cloud resource monitoring platform, a service dependence resource analysis unit and a service related monitoring parameter analysis and processing unit. The service monitoring subsystem based on the cloud resource monitoring platform is in charge of coordinating all unit modules. The service dependence resource analysis unit is mainly in charge of analyzing the type and characteristic of a service and determining all resources which the service depends on, the usage amount of all the resources and the like. The service related monitoring parameter analysis and processing unit is in charge of conducting comprehensive analysis of monitoring parameters of all the resources related to the service and determining the priority sequence of dependence on all the monitoring parameters, reasonable monitoring data acquisition frequency, an alarm threshold value, a notification strategy and the like. Compared with the prior art, the service monitoring method based on the cloud resource monitoring platform realizes high reliable and accurate monitoring of the application of a certain service, indeed thereby being strong in practicability and easy to popularize.

The invention discloses a long-term evolution (LTE) cell switching method based on a multi-factor decision. From cell signal level measurement and cell resource analysis, influences of a user terminal rate change and a service quality competiveness index (QCI) level are considered, and a brand-new cell switching rule is provided. By the LTE cell switching method based on the multi-factor decision, a signal level value and the resource availability of a target cell as well as a migration rate of users and the priority level of developed services are comprehensively considered; proper weights can be selected, so that cells with the minimum loads or the best signal level values are selected to be switched, so that the service continuity is guaranteed; and therefore, the customer satisfaction is improved to the maximum extent, and the aim of balancing a network is fulfilled.

The invention discloses a method and system for discovering and deploying available resources in a power cloud data center. The method comprises the following steps: step one, carrying out available resource discovery; to be specific, initiatively discovering new available resources in a power cloud data center; step two, carrying out device resource agent communication; to be specific, establishing a communication mechanism with newly discovered available resources; step three, carrying out modeling configuration management; to be specific, analyzing the newly discovered available resource situation, providing a piece of deployment model advice, allowing confirmation and adjustment by a user, and then generating a resource configuration template; and step four, carrying out configurationdeployment; to be specific, carrying out modeling configuration on a resource configuration template and deploying the newly discovered available resources. In a cloud computing data center environment, when a new resource device is connected to a cloud computing data center management network, automatic discovery of a newly added physical device, information collection, communication establishment, resource analysis, modeling configuration, automatic mounting and deployment, and final new resource online realization are carried out.

SecureFusion is a knowledge management system that integrates asset and risk management of Information technology resources for enterprises and provides metrics for the holistic representation of voluminous technical data. Integration of risk management, security operations and asset management creates an efficient and effective synergistic solution. SecureFusion is a solution that enables enterprises to perform real-time high speed operations research of Information Technology assets and security risks in a process-driven methodology. SecureFusion is comprised of modular, scalable components, utilizing web services to communicate with a centralized SecureFusion Portal. The myriad of data elements discovered and analyzed are converted into a knowledge-based information system. The knowledge-based system and portal provide real-time, dynamic reporting and graphic portrayal of management information for the enterprise. Metrics are used to provide a graphical global security status and scorecard. The security and asset data is summed up to provide key metrics for business leaders to understand and act on the data without having to understand the nuance of every bit and byte. The knowledge-based information system facilitates a hierarchical view of the enterprise assets and risk management data. Management is provided a score card on business unit vulnerabilities and can assign resources for corrective action as appropriate to the priority.

The invention discloses a short and multimedia message sending method based on a middleware platform. The short and multimedia message sending method comprises the following steps that: a user submits tasks for sending short messages and/or multimedia messages through the middleware platform; the middleware platform receives the tasks and then performs quantity audit and information audit and decomposition on the tasks; the tasks subjected to the information decomposition are delivered to an exchange matrix; the exchange matrix computes the priorities of the tasks and analyzes channel resources so as to match the tasks with corresponding channels; and the sending tasks are submitted into the sending channels of corresponding operators according to the matching results. By virtue of the short and multimedia message sending method, the user can rapidly and conveniently send a large number of short and multimedia messages in a mass manner to terminals with numbers belonging to the different operators.

The invention relates to a centralized operation and maintenance-based hardware resource analysis and assessment method. The method comprises the following steps of: 1) defining types of system hardware resource monitoring indexes; 2) periodically acquiring system hardware resource indexes; 3) establishing an analysis and assessment model for the system hardware resource monitoring indexes; and 4)analyzing and assessing system hardware resources. Aiming at automatic equipment resource data of multistage systems in a centralized operation and maintenance mode, multiple effective analysis and assessment methods are provided to predict system resource development trend, mine rules of system operation process and potential safety hazards, assist and schedule automatic operation and maintenance personnel to comprehensively grasp possible problems of the systems, enhance risk prevention levels of multistage intelligent power grid scheduling control systems, and satisfy requirements, for operation and maintenance work of scheduling control systems, of rapid development of power grids.

The invention relates to the technical field of intelligent management systems, in particular to an assembled data adjustment and control system for building construction. The system comprises an import module, an analysis module, a production module, an input module, a project module and an adjustment module. According to the system, imported data of a BIM model can be subjected to space, time, technology and resource analysis, and then a construction scheme, a progress plan, a resource plan and a cost plan are formed; a real-time input function is provided, the actual construction conditioncan be compared with a construction plan process, reference is provided for item managers, and the construction plan can be adjusted in time.

The present invention discloses a solar energy resource analysis and assessment method for photovoltaic power station design. A self-built light resource database based on a solar energy resource area is used for assessment, automatically completes all calculation work required by the solar energy resource analysis and assessment and automatically generates finished products; and based on the solar energy resource area accomplishment construction, an object area is subjected to partition according to the condition of an insolation station, each partition takes an internal insolation station as a reference weather station, all the areas except the insolation station employ the uniform reckoning formula, and the solar energy resource data of the insolation station is employed to automatically calculate the total radiant quantity of the sun. The solar energy resource analysis and assessment method for photovoltaic power station design is suitable for development of the photovoltaic power station design at an object area, collects and arranges the light recourse data through the light resource database built based on the solar energy resource accomplishment construction, completes the solar energy resource analysis and assessment and outputs the accomplishment so as to improve the work efficiency, reduce the error probability and improve the quality of the finished products.