Patent application number | Description | Published |
20120072259 | DETERMINING OPTIMAL ACTION IN CONSIDERATION OF RISK - A system and method for determining an optimal action in consideration of risk. The method includes the steps of: (a) selecting a state from possible states in a current term; (b) selecting an action from action candidates that can be executed in a selected state; (c) calculating a probability distribution of an evaluation value for a selected action; (d) calculating a risk measure using the probability distribution of the evaluation value; (e) determining a weighting function conforming to at least one preference by taking the risk measure into consideration; (f) calculating a value measure of the selected action; (g) repeating steps (b) through (f) for all other the action candidates that can be executed in the selected state; and (h) comparing the value measures of the selected actions in order to determine an optimal action for the selected state. | 03-22-2012 |
20120198447 | DETERMINING AN ALLOCATION CONFIGURATION FOR ALLOCATING VIRTUAL MACHINES TO PHYSICAL MACHINES - An information processing apparatus having a prediction section that determines the predicted peak usage amount of physical resources for each time interval for individual clusters each including a plurality of virtual machines having the same function; a setting section sets a constraint that ensures that, for individual combinations of a first physical machine, a second physical machine, and a time interval, the total predicted peak usage amount of a physical resource predicted for the first physical machine if the second physical machine stops during the time interval does not exceed a physical resource amount prepared for the first physical machine; and an allocation-configuration deriving section derives an allocation configuration by calculating, in accordance with the constraint, a solution to an optimization problem for minimizing, as an objective function, the sum total of the physical resource amounts of all of physical machines to which the virtual machines are allocated. | 08-02-2012 |
20120317573 | DETERMING AN ALLOCATION CONFIGURATION FOR ALLOCATING VIRTUAL MACHINES TO PHYSICAL MACHINES - A computer-executable method for determining an allocation configuration for allocating virtual machines to physical machines. The method includes the steps of determining a predicted peak usage amount of physical resources for each time interval for individual clusters wherein the clusters include a plurality of virtual machines; setting a constraint that ensures the total predicted peak usage amount of the physical resource predicted for the first physical machine does not exceed the physical resource amount for the first physical machine; and deriving an allocation configuration by calculating, in accordance with the constraint, a solution to an optimization problem for minimizing, as an objective function, the sum total of the physical resource amounts of the plurality of physical machines to which the virtual machines are allocated. | 12-13-2012 |
20130060463 | METHOD, APPARATUS AND COMPUTER PROGRAM FOR SELECTING AND DISPLAYING ROUTE FAVORABLE TO DRIVER - A method and apparatus for selecting and displaying a route preferable to a driver while reducing the frequency of changing the route. A dynamic strategy is computed which depends on time required to reach each intersection to be passed through between a departure place and a destination place. A probability distribution of the required time for each intersection and a driving direction to be selected is computed according to the computed dynamic strategy. A driving direction having the highest probability of the required time is sequentially selected to determine intersections to be passed through to the destination. At each intersection, the probability of the required time for each driving direction can be added and a driving direction that has the highest total probability among the results of the additions can be sequentially selected. | 03-07-2013 |
20130096858 | SYSTEM, METHOD, AND PROGRAM FOR PREDICTING STATE OF BATTERY - A method and system for predicting degradation of a battery. Modeling of a battery is made to be separated into an aging section and a current-carrying section. The modeling is established such that the amount of degradation of a capacity retention ratio is determined by the linear sum of stay at each temperature and each SOC. The separation into degradation components at each temperature and each SOC enables predicting degradation under various degradation environments. A model for a battery separated into an aging section and a current-carrying section and a calculation model of a root law are combined into an objective function, and a table of discharge coefficients a | 04-18-2013 |
20130275677 | Method, Device and Computer Program for Identifying Items Having High Frequency of Occurrence Among Items Included in a Text Data Stream - A method, device and computer program for efficiently identifying items having a high frequency of occurrence among items included in a large-volume text data stream. Identification information for identifying an item and a count of items are stored in a higher level of memory and only identification information is stored in a lower level. Text data stream input is received, the increment of the count of an item is increased in response to storage in the higher level memory of identification information for an item included in a bucket divided from the received text data stream input, identification information for the item is transferred with the initial count to the higher level of memory in response to storage in the lower level and the identification information for the item is newly stored with the initial count in the higher level in response to not being stored on any level. | 10-17-2013 |
20130304688 | APPARATUS, PROGRAM, AND METHOD FOR SOLVING MATHEMATICAL PROGRAMMING PROBLEM - An apparatus and method for solving mathematical programming problems. The apparatus includes a first-time-point-solution generating unit generating at least one solution to a mathematical programming problem, a second-time-point-problem generating unit generating a plurality of mathematical programming problems to be on the basis of the solution to the mathematical programming problem to be solved at the first time point, a second-time-point optimum value calculating unit calculating an optimum value of each of a plurality of mathematical programming problems to be solved at the second time point, a relational expression estimating unit estimating a relational expression between the solution to the mathematical programming problem to be solved at the first time point and an optimum value of a mathematical programming problem to be solved at the second time point, and a correcting unit correcting the mathematical programming problem at the first time point based on the relational expression. | 11-14-2013 |
20130345889 | CONTROLLING POWER GENERATORS AND CHILLERS - A method of meeting a power demand of a power consumption unit is disclosed. A forecasted power demand for a power demand scenario for the power consumption unit is determined and a probability of occurrence of the power demand scenario is determined. An objective function for operating at least one power supply device is created that includes the forecasted power demand of the power demand scenario and the determined probability of occurrence of the power demand scenario. A substantial minimum of the objective function is located to determine a schedule for operating the at least one power supply device to meet the forecasted power demand. The at least one power supply device may be operated according to the determined schedule to meet the power demand of the power consumption unit. | 12-26-2013 |
20130345890 | CONTROLLING POWER GENERATORS AND CHILLERS - A method of meeting a power demand of a power consumption unit is disclosed. A forecasted power demand for a power demand scenario for the power consumption unit is determined and a probability of occurrence of the power demand scenario is determined. An objective function for operating at least one power supply device is created that includes the forecasted power demand of the power demand scenario and the determined probability of occurrence of the power demand scenario. A substantial minimum of the objective function is located to determine a schedule for operating the at least one power supply device to meet the forecasted power demand. The at least one power supply device may be operated according to the determined schedule to meet the power demand of the power consumption unit. | 12-26-2013 |
20140196027 | LOW-RISK SERVER CONSOLIDATION - A method for virtual machine (VM) consolidation includes providing a plurality of resource usage levels for a set of VMs to be consolidated including a first resource usage level and a last resource usage level. An optimization problem is formulated to minimize an objective function such that any of one or more VMs of a set of VMs to be allocated to a target server may be assigned to the first resource level and remaining VMs of the set may be assigned to the last resource level while not exceeding a resource capacity of the target server. The set of VMs are allocated to a number of servers is accordance with the formulating to consolidate the set of VMs. | 07-10-2014 |