390 results about "Configuration optimization" patented technology

A method of building a computer system is provided. The method comprises determining an average memory storage per virtual machine, determining an average number of virtual machines per host computer, and determining an amount of memory storage per memory pool. The method also comprises determining a maximum number of host computers per memory pool based on the average memory storage per virtual machine, the average number of virtual machines per host computer, and the amount of memory storage per memory pool. The method also includes assembling the appropriate number of host computers and memory storage, organized around memory pools, to handle a specific number of virtual machines.

A process control configuration system is provided for use in creating or viewing an integrated optimization and control block that implements an optimization routine and a multiple-input/multiple-output control routine. The configuration system may enable a user to display or configure the optimizer or the control routine. A storage routine may store information pertaining to a plurality of control and auxiliary variables and to a plurality of manipulated variables to be used by the optimization routine and/or the control routine. A display routine may present a display to a user regarding the information pertaining to the plurality of control and auxiliary variables and to the plurality of manipulated variables.

The invention discloses a system and a method for optimizing overall planning of distributed energy. The system comprises a matrix laboratory (MATLAB) optimization analysis part, and a Microsoft EXCEL system input part and a Microsoft EXCEL system output part which are combined with the MATLAB optimization analysis part. The optimization method comprises the following steps of: (1) predicting andanalyzing; (2) modeling and outputting an optimization variable, a performance parameter and a system power flow network chart by using a combined cooling heating and power (CCHP) energy system; (3) starting a scheme optimization process by using a CCHP energy overall planning optimization module; (4) verifying and evaluating an optimization scheme by using a system constraint subsystem; and (5) outputting an optimization scheme. Modeling description is effectively performed on thermal equipment in combination with a mathematical modeling measure, an overall evolutionary algorithm with high performance is optimized and microscopic configuration optimization, and annual operating strategy optimization are performed on the entire system; the system and the method support optimization of a simple cyclic energy system and a more complicated combined cyclic energy system; and the efficiency and economic benefit of the entire energy system are improved.

The invention discloses a radio communication system and a method of resource configuration optimization during switching in a coordination set in the system, used for carrying out resource configuration optimization during switching in the coordination set. In the process of switching in a joint processing coordination set, when a target cell learns that a switched user is a coordinated user, the switched user is directly judged to be accessed and only a signalling radio bearer is established; after finishing the resource configuration, the target cell generates a radio resource control connection reconfiguration message comprising the signalling radio bearer and transmits the message to user equipment through a source cell; the user equipment carries out resource configuration, maintains a data radio bearer established in the coordinated process and establishes the signalling radio bearer. According to the invention, unnecessary steps are omitted, operations of repeated establishment and resource deletion are avoided and the efficiency of a terminal and a base station is improved.

The present invention facilitates the analysis of binaries, components, configurations, and their footprints for component design and optimization. Complete and meaningful binary, component, configuration, and footprint information allows formal methods for component analysis and configuration optimization. A binary dependency database persists and stores binary dependency information. The binary dependency database provides detailed dependency information among binaries.

The invention discloses methods and systems for acquiring mobility relevant information of machine type communication (MTC) equipment and optimizing the configuration of the MTC equipment. The method for acquiring the mobility relevant information of the MTC equipment comprises the following steps that: the MTC equipment reports the mobility relevant information of the MTC equipment to an access network, or the access network acquires the mobility relevant information of the MTC equipment from a core network in which the mobility relevant information of the MTC equipment is stored or an MTC server; and the access network configures a configuration parameter of the MTC equipment according to the mobility relevant information of the MTC equipment. By the method, the access network can acquire the mobility relevant information of the MTC equipment, so configuration optimization such as reduction in unnecessary measurement, mobility management and the like can be executed.

This invention provides, when optimizing a configuration of a storage system using a pool, an optimal configuration while ensuring a policy set by an administrator, the policy concerning a power saving performance, a response performance, or the like. The management computer sets, according to the set policy, priorities to volumes held by a storage subsystem, and reserves volumes satisfying the capacity of the pool, in descending order of the priority. Only some of the reserved volumes are registered for the pool in descending order of the priority. At this time, it can be guaranteed that a host computer makes no access to the volumes which have not been registered for the pool, and therefore the sleep state is set to physical drives forming the volumes or to a controller controlling the physical drives.

Systems and methods for providing a dynamically modular processing unit. A modular processing unit is provided as a platform that is lightweight, compact, and is configured to be selectively used alone or oriented with one or more additional processing units in an enterprise. In some implementations, a modular processing unit includes a non-peripheral based encasement, a cooling process (e.g., a thermodynamic convection cooling process, a forced air cooling process, and/or a liquid cooling process), an optimized circuit board configuration, optimized processing and memory ratios, and a dynamic back plane that provides increased flexibility and support to peripherals and applications. The modular processing unit is customizable and may be employed in association with all types of computer enterprises. The platform allows for a plethora of modifications that may be made with minimal impact to the dynamically modular unit, thereby enhancing the usefulness of the platform across all type of application.

The invention discloses a waste collection and transportation system based on big data processing. The waste collection and transportation system comprises a waste collecting vehicle and a remote monitoring server. The waste collecting vehicle comprises a waste bin grabbing mechanism, a satellite positioning module, an ECU and a first wireless communication module. The remote monitoring server comprises a second wireless communication module, an analysis and statistics module, a preprocessing module and a data mining module. The waste bin grabbing mechanism acquires load information of waste bins through a weighing sensor arranged on the waste bin grabbing mechanism. The satellite positioning module acquires position information of the waste bins. The data mining module predicts the load data of the waste bins in a period of time in the future based on the historical data of the load information of the waste bins. Number configuration of the waste bins is optimized and the optimal path for waste collection and transportation of the waste collecting vehicle is planned. Manufacturing cost and maintenance cost of the waste collection and transportation system can be reduced so that configuration optimization of the waste bins and collection and transportation path optimization of the waste collecting vehicle can be realized. The invention also discloses a waste collection and transportation method based on big data processing.

The invention discloses a multi-ship collaborative navigation formation configuration method based on underwater acoustic communication. The method comprises the steps as follows: a system state equation and a measurement equation are established according to a collaborative navigation system model; a nonlinear system Lee derivative observability theory is used for performing observability analysis on the equations; an underwater acoustic communication blind zone model is established according to wake flows generated by propellers at the tails of ships; a safety zone model is determined according to safety distances among the ships; and finally, an unmanned ship formation configuration design scheme is obtained on the basis that the observability, the wake flow communication blind zone and the safety distance zones among the ships are comprehensively considered. According to the method, collaborative navigation system formation configuration optimization design is realized, and the method is applicable to formation configuration designs under multi-ship collaborative navigation conditions. According to the method, the formation configuration layout obtained without consideration of wake flow influences has a high practical value on the collaborative navigation system formation configuration design.

The invention discloses a greenhouse three-layer wireless network measurement and control system and a layering and clustering method thereof, which comprehensively use wireless sensor network technology, wireless mobile network technology and the like. In the system and the method, a three-layer wireless network consists of a high-layer base station node, a greenhouse group control terminal, an intermediate-layer convergence cluster head node and a lower-layer nodes wireless sensor network node, the intermediate-layer convergence cluster head node is configured according to node cost, operation cost and the requirement on convenience information processing, and the configuration optimization of a lower-layer convergence cluster head node is realized by improving the selection method of aclassic LEACH clustering algorithm the cluster head nodes and applying a multi-objective optimization method. The method is favorable for reducing information transmission delay, cost and power consumption and improving information transmission efficiency. The system can be widely applied to agricultural facilities such as greenhouses, plastic tents and the like, and other indoor environments suchas hospital buildings, hotels or hotel buildings, halls, studio halls, superstores, supermarkets and the like to realize information wireless measurement and control.

The invention discloses an adaptive configuration method for short-time variable big data job cluster scheduling. The method is a self-adaptive cluster scheduler configuration optimization method provided by aiming at the characteristics of cloud platform isomerism, cluster scheduler configuration optimization of dynamic load, isomerism of cloud platform load and short-time variability. Cloud platform loads can be divided into service applications and analysis applications, and different classifications are different in resource consumption and time requirements. According to the method, the configuration of the cluster scheduler is adjusted according to the state information of the job and the information of the cluster environment; the optimal scheduling configuration is always kept; therefore, the operation performance is improved, the operation delay is reduced, the heterogeneous load of the cloud platform can be better adapted, and the optimal configuration item corresponding to the current cluster state can be better found, so that the waiting time of the cluster operation is close to the minimum, the operation efficiency is improved, and the short-time variable big data operation is effectively scheduled.

The invention discloses an optimization and arrangement method for generation unit ahead generation scheduling and spinning reserve within frequency security constrains, and is applicable to configuration optimization of power generation system ahead generation scheduling and spinning reserve combining economy and reliability under large disturbance. According to the invention, the method herein, on the basis of current configuration optimization of power generation system ahead scheduling and spinning reserve, introduces frequency security to constraining conditions, so that the reliability of optimization is increased. The method also increases an evaluation index for spinning reserve which takes frequency security into consideration. Compared with prior art, according to the invention, the method can obtain a method for configuration optimization of the ahead generation scheduling and spinning reserve that combines economy and reliability.

The present invention discloses an optimization method of hybrid energy storage capacity configuration of a microgrid. The method comprises the following steps of: S1: obtaining historical data in previous years and real-time data of a microgrid to construct a microgrid data matrix; S2: performing normalization processing of random variable; S3: constructing a microgrid energy storage capacity configuration optimization model; and S4: performing microgrid energy storage capacity configuration optimization by employing the multi-target genetic algorithm improved by FCM. The method provided by the invention employs the fuzzy C clustering and Euclidean distance selection intersection parent methods to combine with an adaptive crossover and mutation operator to greatly improve the diversity ofthe genetic algorithm population and avoid falling into local optimum. The optimization method of hybrid energy storage capacity configuration of the microgrid facilitates obtaining of an optimal solution set of the hybrid energy storage capacity configuration to allow decision makers to conveniently make a reasonable final selection and provide technical supports for stable operation and the economical efficiency of the microgrid.

The present invention discloses a system for mining, analyzing and displaying wireless network performance parameters and an operating method thereof. The system includes a server located at the network side and a plurality of mobile terminals, wherein the mobile terminals preprocess wireless network performance parameters measured thereby and network configuration information and then store same in a terminal database, and report same to the server at the network side in proper time; and the server as a control center performs statistical processing on measured data, to obtain network performance conditions, and mines, analyzes and predicts the influence on network performance change caused by mobile terminal migration and movement and mobile terminal aggregation and migration laws, to reveal network performance defects and tidal effect consequences for smart networking, network optimization and resource configuration optimization. The method and system of the present invention do not need special equipment and measurement personnel, and the measured network performance parameters can truly reflect network performance change, thereby implementing the intelligent optimization control of the network. The method and system of the present invention can dynamically, directly and accurately monitor the network performance in real time, and have the advantages of low cost and good application prospect.

The invention provides a stored-energy capacity configuration method used for stabilizing city load growth. The stored-energy capacity is an electric-energy quantity stored by an energy-storage system installed in a power grid. The method includes the following steps: obtaining typical daily load data of an installation point of the energy-storage system; calculating an output power of the energy-storage system; calculating a energy-storage-cell configuration capacity and an energy-storage rated power; constructing an energy-storage capacity configuration optimization target function; and carrying out an iterative operation until an optimal solution is obtained. The method realizes functions of peak load shifting and load peak and valley difference reduction in a city power distribution network. The method reasonably selects an energy-storage capacity according to a typical daily load curve of an energy-storage access point so that the adaptability is great; electric energy consumption and energy storage investment cost are considered comprehensively and while the voltage distribution of the power distribution network is adjusted, the voltage deviation of the power distribution network is reduced and the loss of the power distribution network is reduced, the investment cost is reduced as much as possible so that waste of energy storage device capacity is prevented; and the method is capable of calculation through use of an iterative method, simple and easy to realize and high in convergence rate.

The invention provides a method for optimizing arrangement and distribution of multi-target emergency rescue resources and relates to the field of emergency rescue resource distribution decision. The method comprises the following steps that: obtaining related information, such as emergency rescue resource requiring places within a planned area, required resource variety, required scale, estimated survival rate of affected people in the requiring places under various disaster conditions, disaster probability, spare resource place positions, and the like; establishing a multi-target emergency rescue resource address-scale optimizing model according to the obtained related information, and solving the model by adopting a unit cost utility method; establishing a multi-goods emergency rescue resource combined dynamic distribution optimizing model according to the obtained related information, and solving the model by adopting an algorithm combined with an ideal point method and a unit cost method; and outputting an optimal scheme for the arrangement and distribution of the emergency rescue resources. According to the method, a practical reference scheme for the arrangement and distribution of the emergency rescue resources can be supplied to an emergency decider.

The invention belongs to the technical field of pneumatic configuration optimization of air vehicles and particularly relates to an automatic generation method of a parameterized pneumatic configuration mathematical model and a structured mesh. The automatic generation method comprises the following steps: acquiring theoretical configuration description of an air vehicle needing to be optimized and defining configuration parameters; writing a configuration generation program; recording operation to software by adopting a script recording method; only running a script in subsequent repeated work, so as to finish mesh generation work; adopting a digital-analog file which is consistent to a topological structure in a macro recording process and comprises a point-line-surface sequence in digital-analog; and integrating configuration automatic generation with mesh automatic generation procedures through the script of an operating system. According to the invention, theoretical configuration is calculated through reading all the parameters for defining the configuration through writing a script program, and a COM interface supplied to the Windows system through three-dimensional modeling software is obtained; and furthermore, functions of various configurations are obtained, and the functions are called to generate the digital-analog and the digital-analog is preserved.

The invention relates to a firefox starting acceleration method. Before a step of starting a firefox program or after the step (21) of starting the firefox program and before a step (22) of initializing, the method comprises a step (20) of moving files, except system files, required by starting into a memory, so that the firefox can be started in the memory. In the firefox starting acceleration method, four aspects, such as compiling optimization, configuration optimization, starting cache file storage and moving of the files required by starting, of the firefox are started in the memory to optimize a starting process of the firefox on a linux platform, so that input/output (I/O) reading and writing operations during starting of the firefox can be reduced greatly, thus the firefox starting speed can be increased effectively.

The invention discloses a method and system for optimizing neighbor cell configuration. The method comprises the following steps: based on the existing neighbor cell configuration, trying neighbor cells in larger range in time intervals and batches, adding the tried neighbor cells and calling the tried neighbor cells candidate neighbor cells; when a candidate neighbor cell becomes effective, the candidate neighbor cells and the existing configured neighbor cells jointly forming configured neighbor cells, acquiring received signal code power (RSCP) measured value of measurable neighbor cells by user equipment (UE) in a cell A during cell handover and recording the target neighbor cell handed over each time in a period of time T; after processing all the batches of candidate neighbor cells,computing the RSCP mean value and handover frequency of each neighbor cell relative to the cell A according to all the obtained RSCP measured values and the information of the handed over target neighbor cells, comprehensively evaluating each neighbor cell according to the computation results and giving the neighbor cell configuration optimization suggestions based on the comprehensive evaluationresults. The reliability of the configured neighbor cell optimization scheme can be improved by using the invention.

The invention discloses an edge computing service resource configuration method and device and electronic equipment. The edge computing service resource configuration method comprises the following steps: constructing a user demand model according to a user service demand in a network environment; according to the user demand model, respectively determining a cloud node resource limiting condition, an edge node resource limiting condition, an overall resource limiting condition, a service delay limiting condition and an edge computing service cost model; establishing a configuration optimization model according to the limiting conditions and the edge computing service cost model; and solving the configuration optimization model and carrying out resource configuration according to a solvingresult. The edge computing service resource configuration device comprises a user demand module, a constraint condition module, a service cost module and a configuration optimization module. The electronic equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor implements the edge computing service resourceconfiguration method when executing the program.

The invention provides a standby configuration optimization method adopting a wind power system unit. The standby configuration optimization method provides a method for computing two risk costs including outage cost and wind curtailment cost under certain forward-reverse rotation spare capacity by utilizing an integral of a wind power and load joint probability density function, an optimum allocation method for allocating the total system forward-reverse rotation spare capacity to different coal consumption units, and a decision-making method comprehensively considering the risk costs and power generating cost, the total system forward-reverse rotation spare capacity when the power system performs most economical operation and power generating plans and spare allocation capacities of the units. The standby configuration optimization method is suitable for the power system accessed to a wind power plant, can make a decision on the total system forward-reverse rotation spare capacity giving consideration to the economical efficiency and safety and contribution plans and optimum forward-reverse rotation spare capacities of the units, meanwhile unit climbing constraint and network security constraint are considered for spare capacity allocation of the units, and completely available standby application provided by the units is ensured.

The invention relates to a service process execution cost minimization-oriented integrated resource quantity configuration and task distribution optimization method. The method comprises the following steps of: 1, establishing a service process model, namely defining the service process model as a six-tuple PM=(phi, A, C, L, R, U); and 2, establishing a service process execution cost minimization-oriented resource configuration optimization mathematical model, wherein a target function (8a) is service process unit time execution cost, a decision variable in the mathematical model is a resource configuration scheme and comprises a resource configuration quantity r.qnt and a task distribution rate xi a, r of distributing a task to a resource r, and the optimal solution of the mathematical model is a resource quantity configuration and task distribution optimization scheme which can ensure that the execution cost is minimum when the service process is stably executed. The invention provides the service process execution cost minimization-oriented integrated resource quantity configuration and task distribution optimization method under a resource and activity many-to-many support relationship.

The invention relates to a multi-objective power configuration optimization method for a multi-energy ship microgrid, which is characterized in that in allusion to a ship microgrid system containing diesel generators, wind power generation, photovoltaic power generation and battery energy storage, a critical output point of an energy storage system under a dynamic load is studied, the critical output point is enabled to act as judgment for performing preferential output by diesel storage, and an energy storage system scheduling strategy for preferentially selecting diesel storage based on the dynamic critical point is built. The method can realize power supply configuration optimization for a dynamic multi-objective microgrid in a real sense.

The invention discloses a configuration optimization system and method for a Sybase ASE database, pertaining to the field of database configuration. The method comprises following steps: expressing expert knowledge configured by the Sybase ASE database through a configuration library, a rule base, a case library for benchmark tests; starting, stopping and dynamically adjusting parameters by configuring a loading and executing module to directly drive the Sybase ASE database; utilizing the case library for benchmark tests to test performance of the case library under specific workload; obtaining a group of configuration parameter combination in accord with the user requirement by continuously adjusting input of the configuration library and the rule base for performance analyses; and eliminating the explosion of number for parameter combinations caused by simple permutation and combination by generating combinations of configuration parameters via guidance of rules in order to greatly decrease workload for configuration of the Sybase ASE database, reduce configuration difficulty and provide guiding effect of optimizing performance of the ASE database.

A method and a novel estimator program are provided for Server Metafarm optimization for a given particular large number of the Metafarm users/clients “L” by balancing a number of separate Server Farms and their availability requirements. By the optimization of the Metafarm is herein meant the process of finding the optimum values of the selected optimization parameters (such as a number of Server Farms and/or a Redundancy Factor value) that deliver the optimum value for the selected optimization criterion (such as Server Metafarm availability) and a given set of input data.