Evolving jasmin : high performance analysis and the data deluge

Neil Massey, Philip Kershaw, Matt Pritchard, Matt Pryor,Sam Pepler, Jonathan Churchill,Bryan Lawrence

semanticscholar(2017)

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摘要
JASMIN is a highly successful data analysis system, which is used by thousands of academics and their industrial partners to analyse many petabytes of environmental data. The rapidly increasing volume of data stored on JASMIN, and the steadily increasing number of users, is making it necessary to investigate and implement new methods of providing computing resources to the users, storing the data that they produce from their analyses and storing and maintaining a very large archive of environmental data. To achieve this, two main areas of research are described. Firstly, providing users with virtualised services to best utilise the computing resources available. Secondly, using object storage to provide a large, yet affordable, data store and providing the users with tools and interfaces to common environmental data formats, so as to not unduly affect their current work flows.
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