In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
We present a customizable simulator called netsim for high-performance point-to-point workstation networks that is accurate enough to be used for application-level performance ana...
Mustafa Uysal, Anurag Acharya, Robert Bennett, Joe...
In today’s networked storage environment, it is common to have a hierarchy of caches where the lower levels of the hierarchy are accessed by multiple clients. This sharing can h...
Gala Yadgar, Michael Factor, Kai Li, Assaf Schuste...
Computational grids and grid middleware offer unprecedented computational power and storage capacity, and thus, have opened the possibility of solving problems that were previousl...
Suchuan Dong, Nicholas T. Karonis, George E. Karni...
Abstract--We propose several algorithms for topology aggregation (TA) to effectively summarize large-scale networks. These TA techniques are shown to significantly better for path ...