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Enabling Virtual Manufacturing Enterprises with Cloud Computing: An Analysis of Criteria for the Selection of Database as a Service Offers

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Advances in Sustainable and Competitive Manufacturing Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

In our globalized world, small- and medium-sized enterprises in the manufacturing domain face a highly competitive environment. They are subject to various challenges, such as very short product life cycles and a strong price competition with companies from low-cost countries. To remain competitive in such an environment, new forms of collaborations, like Virtual Manufacturing Enterprises, are required. An essential part of virtual organisations is data provisioning. Thereby, data from various sources like factories’ ERP systems or data provided by sensors need to be processed and stored. In this context, data storage is a crucial architectural element that influences both functional aspects and competitive aspects, especially costs, of Virtual Manufacturing Enterprises. For realizing Virtual Manufacturing Enterprises with low up-front investments, the application of new technologies, such as Cloud Computing, is required. For storage of information in databases, Database as a Service offers from the Cloud can be exploited. However, since there is a huge amount of providers acting on a non-transparent market, it is difficult to find appropriate “Database as a Service” offerings. To overcome this problem, we provide a criteria catalog for the selection of providers and their services. Further, we show how different offers, which at the first glance look very similar, could cause very different expenses. With our work, we simplify the selection and evaluation of Cloud storage providers and provide an evaluation of current Cloud storage service offers.

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Notes

  1. 1.

    http://aws.amazon.com/de/dynamodb/

  2. 2.

    http://msdn.microsoft.com/en-us/library/windowsazure/ee924681.aspx

  3. 3.

    http://dejure.org/gesetze/BDSG

  4. 4.

    https://developers.google.com/appengine/docs/python/datastore/

  5. 5.

    CRUD: Basic operations on data storage; acronym for: create, read, update, delete.

  6. 6.

    http://blogs.msdn.com/b/windowsazurestorage/archive/2010/07/09/understanding-windows-azure-storage-billing-bandwidth-transactions-and-capacity.aspx

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Acknowledgments

This work is supported in part by the Commission of the European Union within the ADVENTURE FP7-ICT project (Grant agreement no. 285220), within the SIMPLI-CITY FP7-ICT project (Grant agreement no. 318201), and by E-Finance Lab e. V., Frankfurt am Main, Germany (http://www.efinancelab.com).

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Hans, R., Dahlen, D., Zöller, S., Schuller, D., Lampe, U. (2013). Enabling Virtual Manufacturing Enterprises with Cloud Computing: An Analysis of Criteria for the Selection of Database as a Service Offers. In: Azevedo, A. (eds) Advances in Sustainable and Competitive Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00557-7_35

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  • DOI: https://doi.org/10.1007/978-3-319-00557-7_35

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