Abstract:
A computer storage system includes a controller, a first storage device and a second storage device including at least one fast storage device. The controller is configured to perform data operations. The first storage device stores data, and the second storage device stores data redundant to the data stored in the first storage device.
Abstract:
A technique for programmatically obtaining experimental measurements for model construction. A user provides criteria for the model, such as computational algorithms which characterize behavior of the real system, specifications of experiments to be performed on the real system for collecting experimental data from the real system, an identification of sought parameters which are to be derived from results of the experiments and desired tolerance constraints on the sought parameters. From experimental data collected from the real system and from the provided criteria, the inventive method and apparatus programmatically determines in an iterative loop which additional experiments are to be performed in order to achieve the desired tolerance constraints. After one or more iterations of the loop, the values for the sought parameters are determined within the desired tolerance constraints.
Abstract:
A method of and apparatus for determining whether a multi-component target system meets a given multi-part performability requirement is provided. A description of the target system, failure probabilities for components of the target system and a multi-part performability requirement for the target system are obtained. The multi-part performability requirement indicates desired performance levels and corresponding fractions of time. One or more failure-scenarios are successively computed that represent one or more states of the target system having zero or more components failed and a corresponding probability of occurrence of the one or more of the states of the target system. Performance of the target system is modeled under the failure scenarios using a performance predictor module for generating a multi-part performability function. The multi-part performability function is compared with said multi-part performability requirement to determine whether the target system meets the multi-part performability requirement.
Abstract:
A computer storage system includes a controller and a storage device array. The storage device array may include a first sub-array and a fast storage device sub-array. The first sub-array includes one or more first storage devices storing data. The fast storage device sub-array includes one or more fast storage devices storing a copy of the data stored in the first sub-array.
Abstract:
An exemplary embodiment of the present invention provides an improved yardage book holder for storing a yardage book as well as a variety of other golf accessories. The yardage book holder comprises a substantially slender thickness and a rectangular profile with rounded corners that allows a golfer to conveniently store the yardage book holder within a pocket in an article of clothing when folded in its fully closed position. The yardage book holder further comprises at least two layers of materials, a plurality of sections, a plurality of compartments, and a strap affixed to one of the sides of the yardage book holder. The strap allows for quick access to the item which it secures and is able to pivot such that it may quickly attach to or detach from the interior or exterior surfaces of the yardage book.
Abstract:
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.
Abstract:
A technique for emulation of a data storage system. The invention allows the level of services to be provided by a data storage system to be specified in terms of the level of services provided by another storage system. In one aspect, a performance characterization of a data storage device to be emulated is obtained (e.g., by experimental techniques). A specification of a workload is also obtained that includes a specification of a plurality of data stores for the workload. The data stores are assigned to an emulation data storage device according to the performance characterization and according to the specification of the workload such that sufficient resources of the emulation data storage device are allocated to the workload to meet the performance characterization of the data storage device to be emulated. The emulation data storage device is then operated under the workload. Quality-of-service (QoS) control may be performed so as to provide a degree of performance isolation among the workloads.
Abstract:
A method predicts performance of a system that includes a plurality of interconnected components defining at least one data flow path. The method references a workload specification for the system. The method models the system using one or more component models. Each component model represents selected one or more of the components. Each component model is arranged in like relationship to the data flow path as the selected one or more of the components represented by the component model. Each component model is (a) a constraint upon the workload specification input to that component model or (b) a transformer of the workload specification input to that component model so as to result in one or more output workload specifications that are input workload specifications to subsequent component models along the data flow path or (c) both a constraint and a transformer. At least one of the component models is a constraint. At least some of the component models along the data flow path operate on the workload specification. In one preferred form, operating on the workload specification involves arranging the component models in a hierarchy corresponding to the data flow path; using the specified workload specification as input to the topmost component model in the hierarchy; and applying one or more of the component models to its input workload specification, starting with the topmost component model and then component models at progressively lower levels in the hierarchy. Output workload specification at one level is input workload specification at the next lower level. If the component model comprises a constraint, the method evaluates whether the input workload specification satisfies or violates the constraint. If the component model comprises a workload specification transform, the method modifies the input workload specification so as to produce one or more output workload specifications.
Abstract:
This application relates to the fields of Artificial Intelligence, Affective Computing and Computer Sciences among others, and discloses a method for equipping a robot or other technological device with the ability to recognize character and type of relationship, simulate character and emotions, and trigger and carry out conflict and reconciliation processes with other actors, such as humans or other robots. The method includes: a novel model for personality and relationship characterization based on dimensions, here called Pat Palprolov; a novel model that allows for the characterization and recognition of personality and type of relationship on the basis of actions, here called the loom and fabric of actions; a novel model for robot behavior including an objective function, a system of dimensional values, weights and thresholds, and a pyramid of needs; and a model for stress and its effect on the intensity of the triggers.