Scientific computation and data management using Microsoft Windows Azure

Steven Johnston; Simon Cox; Kenji Takeda

doi:10.1007/978-3-642-20045-8_9

Scientific computation and data management using Microsoft Windows Azure

Steven Johnston
, Simon Cox
, Kenji Takeda

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

Cloud computing is the next stage in the evolution of computational and data handling infrastructure, establishing scale out from clients, to clusters to clouds. With the use of a case study, Microsoft Windows Azure has been applied to Space Situational Awareness (SSA) creating a system that is robust and scalable, demonstrating how to harness the capabilities of cloud computing. The generic aspects of cloud computing are discussed throughout.

Original language	English
Title of host publication	Grid and Cloud Database Management
Editors	Sandro Fiore, Giovanni Aloisio
Publisher	Springer
Chapter	9
Pages	169-192
Number of pages	24
ISBN (Electronic)	9783642200458
ISBN (Print)	9783642200441
DOIs	https://doi.org/10.1007/978-3-642-20045-8_9
Publication status	Published - 2011

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10.1007/978-3-642-20045-8_9

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Scientific computation and data management using Microsoft Windows Azure

Abstract

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