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2011 | OriginalPaper | Buchkapitel

10. The CloudMiner

Moving Data Mining into Computational Clouds

verfasst von : Andrzej Goscinski, Ivan Janciak, Yuzhang Han, Peter Brezany

Erschienen in: Grid and Cloud Database Management

Verlag: Springer Berlin Heidelberg

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Abstract

Business, scientific and engineering experiments, medical studies, and governments generate huge amount of information. The problem is how to extract knowledge from all this information. Data mining provides means for at least a partial solution to this problem. However, it would be too expensive to all these areas of human activity and companies to develop their own data mining solutions, develop software, and deploy it on their private infrastructure. This chapter presents the CloudMiner that offers a cloud of data mining services (Software as a Service) running on a cloud service provider infrastructure. The architecture of the CloudMiner is shown and its main components are discussed: MiningCloud that contains all published data mining services, BrokerCloud which mining service providers publish services to, DataCloud that contains the collected data, and Access Point which allows users to access the Service Broker to discover mining services and supports mining service selection and their invocation. The chapter finishes with a short presentation of two use cases.

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Titel: The CloudMiner
verfasst von: Andrzej Goscinski
Ivan Janciak
Yuzhang Han
Peter Brezany
Verlag: Springer Berlin Heidelberg
Buch: Grid and Cloud Database Management
Print ISBN: 978-3-642-20044-1

Electronic ISBN: 978-3-642-20045-8

Copyright-Jahr: 2011
DOI: https://doi.org/10.1007/978-3-642-20045-8_10

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