Topology Aggregation for e-Science Networks
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Abstract
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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How to Cite
Jung, E.-S., Sanjay Ranka, & Sartaj Sahni. (2010). Topology Aggregation for e-Science Networks. International Journal of Next-Generation Computing, 1(1), 01–13. https://doi.org/10.47164/ijngc.v1i1.2
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