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Simulation and data analysis with Windows Azure

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If you have a question about this talk, please contact Dr Fabien Petitcolas.

Abstract: Research is being increasingly driven by the generation and analysis of datasets. Traditionally, datasets were manually entered into computers, but today’s datasets can be huge because they are computer generated: either the results of simulations or automated observations of the real world. In this talk I’ll describe Windows Azure, an environment for running your code on servers located around the world in Microsoft’s datacenters. This allows you to run large-scale simulations, and analyse the results before your paper deadline!

Biography: Austin Donnelly is a Research Software Development Engineer (RSDE) in the Systems group at Microsoft Research, Cambridge. His most recent interests are in enterprise storage, from both a power-management and performance perspective. He helped build a system which can redirect disk writes across a network to allow disks to be spun down for extended periods of time, saving power. He has worked on a number of projects, including the Ethernet topology discovery protocol which shipped in Windows Vista.

This talk is part of the Microsoft Research Summer School series.

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