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Based on node influence, establishes a maximum spread model of single-source influence, defines concepts related to maximum spread of single-source influence, proposes the polynomial time algorithm of maximum influence on single-source, quantifies the largest node set influenced by single-source, computes the most influential node in a social network. Our algorithms significantly out-perform node...
Next-generation computation-intensive applications in various fields of science and engineering feature large-scale computing workflows with complex structures that are often modeled as directed acyclic graphs. Supporting such task graphs and optimizing their end-to-end network performances in heterogeneous computing environments are critical to the success of these distributed applications that require...
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