We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
In this paper, we propose a model for representing and predicting distances in large-scale networks by matrix factorization. The model is useful for network distance sensitive app...
In this paper we present a scalable protocol for conducting periodic probes of network performance in a way that minimizes collisions between separate probes. The goal of the prot...
Richard Wolski, Benjamin Gaidioz, Bernard Touranch...
Analysis of network and application pegormance is traditionally based on mathematical models derived from first principles. Such models are usually complex, diflcult to use, and d...