Abstract
One of the major challenges for grid technologies is to create the scientific and technological base for share, collaboration, large-scale distributed systems. Theories and models of grid architectures are important to this endeavor as well as to providing the foundations for constructing grid systems able to work effectively. It is important to model and analyze the grid architecture so that it can evolve guided by scientific principles. On the basis of a coarse-grain classification of grid applications, we present a novel grid architecture taxonomy, interaction-intensive and computation-intensive architecture. In this paper, we will give some new grid performance metrics and model grid architectures mathematically via queueing networks. In addition, we obtain some scientific principles guiding the grid architecture design.
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Yang, H., Li, M., Zheng, Q. (2007). Performability Analysis of Grid Architecture Via Queueing Networks. In: Stojmenovic, I., Thulasiram, R.K., Yang, L.T., Jia, W., Guo, M., de Mello, R.F. (eds) Parallel and Distributed Processing and Applications. ISPA 2007. Lecture Notes in Computer Science, vol 4742. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74742-0_52
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DOI: https://doi.org/10.1007/978-3-540-74742-0_52
Publisher Name: Springer, Berlin, Heidelberg
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