Daniele Tafani

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We propose an approximate analytic model of an optical switch with fibre delay lines and wavelength converters by employing Equivalent Random Theory. General arrival traffic is modelled by means of Gamma-distributed interarrival times. The analysis is formulated in terms of virtual traffic flows within the optical switch from which we derive expressions for(More)
We develop an approximate analytic model of an Optical Burst Switch with share-per-node fibre delay lines and tuneable wavelength converters by employing Equivalent Random Theory, an approach from circuit-switching analysis. Our model is formulated in terms of virtual traffic flows within the switch from which we derive expressions for burst blocking(More)
—In this paper we propose an analytic framework for estimating blocking probability in an asynchronous optical burst switch with wavelength conversion and a multi-channel feedback fibre delay line. Burst arrivals are of general renewal type and burst lengths exponentially distributed. Example solutions for gamma-distributed arrivals are compared with(More)
Optical networks have been pointed out as strong candidates to ensure energy-efficiency in the Internet backbone, as well as the distributed applications such as computational grids. In this paper, we propose a distributed framework to address energy-efficient lightpath establishment problem for computational grids over the optical WDM backbone. Each(More)
With the ever-increasing energy demands and prices and the need for uninterrupted services, data centre operators must find solutions to increase energy efficiency and reduce costs. Running from October 2011 to June 2015, the aim of the European project Mont-Blanc [1] has been to address this issue by developing an approach to Exascale computing based on(More)