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We devise efficient algorithms to construct, evaluate, and approximate a Markovian dependability system with cascading failures. The model, which was previously considered by Iyer et al., represents a cascading failure as a tree of components that instantaneously and probabilistically fail. Constructing the Markov chain presents significant computational challenges because it requires generating and...
As high-performance systems continue to expand in power and size, scalable communication and data transfer is necessary to facilitate next generation monitoring and analysis. Many popular frameworks such as MapReduce, MPI and MRNet utilize scalable reduction operations to fulfill the performance requirements of a large distributed system. The structures to handle these aggregations may simply consist...
At present, many research works focus on modeling trees and simulating the motion of trees in the wind. However, less work has been done in the representation of branch breaking and flying under the strong wind. The mechanism for branch breaking is discussed, and a branch breaking model is built. The motion of the broken branch can be divided into two phases. In the first phase, the broken branch...
Simulating a lively forest in real time is a challenging problem due to the high complexities in both scene geometry and dynamic effects. In this paper, we introduce a novel hybrid model to efficiently synthesize realistic swaying effects of trees under winds. An approximate lighting algorithm is also proposed to render realistic lakes. Our method effectively takes advantage of the horse power of...
Plants simulation is a challenging research domain. Under the condition that external environment affect trees, the paper proposes that adopting illumination model as plants-growing simulation mechanism, optimizing and adjusting external-environment parameters with genetic algorithm, and simulating the plant-growing process well. Experiments results show that using phototropism of plants and influence...
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