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Topology Aggregation for e-Science Networks

Eun-Sung Jung, Sanjay Ranka, Sartaj Sahni


We propose several algorithms for topology aggregation (TA) to summarize large-scale networks that are becoming prevalent in e-Science. These TA techniques are shown to be significantly better for path requests in e-Science that may consist of simultaneous reservation of multiple paths and/or simultaneous reservation for multiple requests. Our extensive simulation demonstrates the benefits of our algorithms both in terms of accuracy and performance.

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