Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
In this paper, first order diffusion load balancing algorithms for totally dynamic networks are investigated. Totally dynamic networks are networks in which the topology may chan...
We present an optimal and scalable permutation routing algorithm for three reconfigurable models based on linear arrays that allow pipelining of information through an optical bus...
Jerry L. Trahan, Anu G. Bourgeois, Ramachandran Va...
This paper introduces volume leases as a mechanism for providing cache consistency for large-scale, geographically distributed networks. Volume leases are a variation of leases, w...
Jian Yin, Lorenzo Alvisi, Michael Dahlin, Calvin L...