Aligning block permutation methods for topology transformation on computational grids

Chen, Uei-Ren; Lin, Woei

doi:10.1109/iceie.2010.5559666

Cited by 1 publication

(1 citation statement)

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“…The grid resource topology can be easy generated and integrated with existing grid simulators to perform numerous experiments. Moreover, by using the topology transformation technologies, such as, the PaGrid (Huang, Aubanel & Bhavsar, 2006) or a proposed virtual mesh transformation method on a computational grid (Chen & Lin, 2010), the irregular grid resource topology can be transformed into a virtual mesh. The benefit is that researchers can construct a problemsolving environment on a computational grid so as to solve a large-scale mesh-based problem by traditional parallel processing algorithms (Grama, Gupta, Karypis, Kumar, 2003).…”

Section: Introductionmentioning

confidence: 99%

Realistic Modeling of Resources for a Large-Scale Computational Grid System

Chen

Tang

2012

International Journal of Grid and High Performance Computing

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To build a large-scale computational grid resource model with realistic characteristics, this paper proposes a statistical remedy to approximate the distributions of computational and communicational abilities of resources. After fetching the source data of resources including computing devices and networks from the real world, the gamma and normal distributions are employed to approximate probabilities for the ability distribution of grid resources. With this method, researchers can supply the computational grid simulators with required parameters relating to computational and communicational abilities. The experiment result shows that proposed methodology can lead to a better precision according to the error measurement of the simulated data and its source. The proposed method can support existing modern grid simulators with a high-precision resource model which can consider the characteristics of distribution for its computational and communicational abilities in the grid computing environment.

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Section: Introductionmentioning

confidence: 99%