Grid computing systems that have been the focus of much research activities in recent years provide a virtual framework for controlled sharing of resources across institutional bo...
The performance of multi-hop CSMA/CA networks has in most cases been evaluated via simulations, or analytically using a perfect collision channel model. Using such methods, one ca...
Instruction scheduling in general, and software pipelining in particular face the di cult task of scheduling operations in the presence of uncertain latencies. The largest contrib...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...