Abstract. Recent times have seen an explosive growth in the availability of various kinds of data. It has resulted in an unprecedented opportunity to develop automated data-driven ...
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
A key challenge in achieving high performance on software DSM systems is overcoming their relatively large communication latencies. In this paper, we consider two techniques which...
We formulate end-to-end congestion control as a global optimization problem. Based on this formulation, a class of minimum cost flow control (MCFC) algorithms for adjusting sessio...
As part of its HiPer-D Program, the United States Navy is developing an experimental distributed system which achieves survivability by dynamically reconfiguring the system using ...
Philip M. Irey IV, Robert W. Hott, David T. Marlow