We present the Higher Order Proxy Neighborhoods (HOPS) approach to modeling higher order neighborhoods in Markov Random Fields (MRFs). HOPS incorporates more context information i...
Solving optimally large instances of combinatorial optimization problems requires a huge amount of computational resources. In this paper, we propose an adaptation of the parallel...
We report on a model of the distribution of job submission interarrival times in supercomputers. Interarrival times are modeled as a consequence of a complicated set of decisions ...
We propose a model for deterministic distributed function computation by a network of identical and anonymous nodes. In this model, each node has bounded computation and storage c...
Julien M. Hendrickx, Alexander Olshevsky, John N. ...
—In this paper, we present a distributed algorithm to dynamically allocate the available resources of a service-oriented network to delay sensitive network services. We use a uti...
Michael G. Kallitsis, Robert D. Callaway, Michael ...