M.A. Frumkin and T.T. Le (USA)
: grid computing, message, delivery time, mea surement, benchmarks.
For efficient use of a computational grid which includes machines located in a number of sites we have to be able to estimate data delivery times between the machines. For dynamic distributed grids it is unrealistic to know exact pa rameters of the communication hardware and the current communication traffic, hence we should rely on a perfor mance model of the network to estimate data delivery times. We build an empirical model based on observation of the messages delivery time with various message sizes and time scales. Our experiments show presence of multiple bands in the histogram of logarithm of message delivery times. The histograms represent a multiband model reflecting multiple paths and probabilities the messages can travel between the grid machines.
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