The combination of parallel/distributeddiscreteeventsimulation (PDES) and Grid technology is a new trend in simulation. QoS is important yet difficult in this process. With the special features of Gird architecture...
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ISBN:
(纸本)9780769528717
The combination of parallel/distributeddiscreteeventsimulation (PDES) and Grid technology is a new trend in simulation. QoS is important yet difficult in this process. With the special features of Gird architecture and PDES input, such as periodical and predictable inputs, we could enhance QoS with a PDES-specific prediction. A Grid-based framework is presented that is designed to help predict the performance of PDES. Based on this framework, a prediction algorithm using time series theory is presented in the context of large scale Grid simulations. Experiments are executed in the context of GridSim, which shows methods discussed before to help to improve QoS level.
The combination of parallel/distributeddiscreteeventsimulation (PDES) and Grid technology is a new trend in simulation. QoS is important yet difficult in this process. With the special features of Gird architecture...
详细信息
The combination of parallel/distributeddiscreteeventsimulation (PDES) and Grid technology is a new trend in simulation. QoS is important yet difficult in this process. With the special features of Gird architecture and PDES input, such as periodical and predictable inputs, we could enhance QoS with a PDES-specific prediction. A Grid-based framework is presented that is designed to help predict the performance of *** on this framework, a prediction algorithm using time series theory is presented in the context of large scale Grid simulations. Experiments are executed in the context of GridSim, which shows methods discussed before to help to improve QoS level.
We introduce a latency hiding mechanism that enables computationally intensive operations to be utilized in real-time interactive environments. In most cases, real-time interactive environments preclude calculations t...
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We introduce a latency hiding mechanism that enables computationally intensive operations to be utilized in real-time interactive environments. In most cases, real-time interactive environments preclude calculations that run slower than real-time. Our approach called optimistic I/O (OIO) schedules anticipated operations in advance so that their results are ready when needed. An associated roll-back scheme enables recovery whenever an unexpected real-time input forces the cancellation of scheduled operations. Optimistic I/O is implemented in a parallelsimulation executive and is evaluated by demonstrating (1) feasibility in a virtual environment application and (2) effectiveness in an analytical framework. The feasibility of OIO is demonstrated by integrating a computationally intensive image generation application called the synthetic scene generation model (SSGM) into an interactive environment (SSGM is used by the Ballistic Missile Defense Organization researchers to produce phenomenologically correct images for testing missile and satellite sensor systems). Effectiveness is evaluated by analytically examining the impact on the quality of an animation sequence as the probability of user interaction increases. We observe that speculative computing is advantageous in applications that include expensive computations, especially when the polling frequency for user interaction is high with respect to the computational period and the probability of interactions is low. Potential applications of optimistic I/O include: Interactive virtual environments for hardware-in-the-loop testing (e.g., missile tracking sensors);high-fidelity visual simulations for human training;and robotics applications where motor control commands require a. significant number of computations, but where the presence or absence of objects in the environment may change which computations are necessary. All these applications share the requirement that a computationally intensive task (such as image
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