A SAN testing application may be provided to restrict the utilization of one or more SAN device resources. The restricted, or throttled, resource(s) enables a smaller load to stress a SAN switch to effectively emulate a larger load. Resource throttling may, for example, result in the rapid filling of switch buffers and corresponding computational stress. The emulated load allows for all ports of a SAN switch to be simultaneously tested without the need or expense of a large number computing devices stressing the SAN. The SAN device with throttled resource(s) may be located within a testing environment or may be located in a functioning SAN to determine SAN bottlenecks prior to critical loading.

A process characteristic parameter determination system uses a process model and a tuning module to accurately determine a value for a process characteristic parameter within a plant without measuring the process characteristic parameter directly, and may operate on-line or while the process is running to automatically determine a correct value of the process characteristic parameter at any time during on-going operation of the process. The process characteristic parameter value, which may be a heat transfer coefficient value for a heat exchanger, can then be used to enable the determination of a more accurate simulation result and/or to make other on-line process decisions, such as process control decisions, process operational mode decisions, process maintenance decisions such as implementing a soot blowing operation, etc.

Methods, mediums and systems are provided to enable a user to build and edit a UML model for a system containing one or more physical component, which includes the across variable and/or the through variable of the components. A UML model may include classifiers, such as classes, interfaces, datatypes, signals, components, nodes, use cases and subsystems, that describes the structural and behavioral features of the system. A UML model may include at least one of the classifiers that is described using the across variables and/or the through variables of the system. For example, the interface of a component in a UML model may be described using the across variables and/or the through variables of the component.

A method and apparatus for determining settings of wires in an electrical system are provided. The method includes setting a first wire setting of a wire from among a plurality of wires to a pin setting of a pin attached to the wire if the pin has a pin setting; setting the first wire setting to a first connector setting of a first connector attached to the pin if the pin does not have a pin setting and the connector setting includes a default setting; and setting the first wire setting to at least one from among: a second pin setting of a second pin attached to the wire from among the plurality of pins; and a second connector setting of a second connector attached to the second pin if the pin does not have a pin setting and the first connector setting does not have a default setting.

A method and system is provided for determining a viable containment design of a data center and systematic implementation of the determined containment design in the data center. Particularly, disclosed is a method and system for collecting data pertaining to the design and operational parameters of the data center; enabling various containment design options using CFD based methodology; and providing recommendations for a viable containment design and assisting systematic implementation of the recommendations of in the data center following an iterative procedure.

A method and system is provided for determining a viable containment design of a data center and systematic implementation of the determined containment design in the data center. Particularly, disclosed is a method and system for collecting data pertaining to the design and operational parameters of the data center; enabling various containment design options using CFD based methodology; and providing recommendations for a viable containment design and assisting systematic implementation of the recommendations of in the data center following an iterative procedure.

A circuit includes a false circuit path in a circuit under test having a starting logic point to an end logic point of the path. The false circuit path is designated as a testing path to be excluded during testing of one or more valid timing paths of the circuit under test. A false path gating circuit gates the starting logic point to the end logic point of the false circuit path. The false path gating circuit disables the false circuit path in response to one or more gating controls asserted during the testing of the one or more valid timing paths of the circuit under test.

Techniques for estimating time remaining for an operation are described. Examples operations include file operations, such as file move operations, file copy operations, and so on. A wide variety of different operations may be considered in accordance with the claimed embodiments, further examples of which are discussed below. In at least some embodiments, estimating a time remaining for an operation can be based on a state of the operation. A state of an operation, for example, can be based on events related to the operation itself, such as the operation being initiated, paused, resumed, and so on. A state of an operation can also be based on events related to other operations.

Techniques to simulate production events are described. Some embodiments are particularly directed to techniques to simulate production events based on randomization across a distribution of production events. In one embodiment, for example, an apparatus may comprise a simulation application operative to simulate one or more commands in a simulated environment using a task hierarchy, the simulation application comprising a configuration component, a command generation component, and an execution component, wherein simulating the one or more commands comprises executing one or more task commands. The configuration component may be operative to receive the task hierarchy from the data store, the task hierarchy comprising a plurality of task entries, each task entry comprising a list of task entries or a task command, the list of task entries comprising probabilities associated with each task entry in the list of task entries, wherein task commands correspond to the simulated environment representing a production environment. The command generation component may be operative to determine the one or more task commands by traversing through the task hierarchy based on the associated probabilities until the one or more task commands are reached. The execution component may be operative to execute the one or more task commands as one or more simulated commands in the simulated environment. Other embodiments are described and claimed.

Diffraction models and scatterometry are used to reconstruct a model of a microscopic structure on a substrate. A plurality of candidate structures are defined, each represented by a plurality of parameters (p.sub.1, p.sub.2, etc.)). A plurality of model diffraction signals are calculated by simulating illumination of each of the candidate structures. The structure is reconstructed by fitting one or more of the model diffraction signals to a signal detected from the structure. In the generation of the candidate structures, a model recipe is used in which parameters are designated as either fixed or variable. Among the variable parameters, certain parameters are constrained to vary together in accordance with certain constraints, such as linear constraints. An optimized set of constraints, and therefore an optimized model recipe, is determined by reference to a user input designating one or more parameters of interest for a measurement, and by simulating the reconstruction process reconstruction. The optimized model recipe can be determined automatically by a parameter advisor process that simulates reconstruction of a set of reference structures, using a plurality of candidate model recipes. In the generation of the reference structures, restrictions can be applied to exclude unrealistic parameter combinations.