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2016 | OriginalPaper | Buchkapitel

On Engineering Analytics for Elastic IoT Cloud Platforms

verfasst von : Hong-Linh Truong, Georgiana Copil, Schahram Dustdar, Duc-Hung Le, Daniel Moldovan, Stefan Nastic

Erschienen in: Service-Oriented Computing

Verlag: Springer International Publishing

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Abstract

Developing IoT cloud platforms is very challenging, as IoT cloud platforms consist of a mix of cloud services and IoT elements, e.g., for sensor management, near-realtime events handling, and data analytics. Developers need several tools for deployment, control, governance and analytics actions to test and evaluate designs of software components and optimize the operation of different design configurations. In this paper, we describe requirements and our techniques on supporting the development and testing of IoT cloud platforms. We present our choices of tools and engineering actions that help the developer to design, test and evaluate IoT cloud platforms in multi-cloud environments.

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Fußnoten
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A CPU on DSG is T7700 @2.40 GHz, on Stratus is a QEMU CPU @2.20 GHz, and on Flexiant is QEMU CPU @3.10 GHz.
 
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Metadaten
Titel
On Engineering Analytics for Elastic IoT Cloud Platforms
verfasst von
Hong-Linh Truong
Georgiana Copil
Schahram Dustdar
Duc-Hung Le
Daniel Moldovan
Stefan Nastic
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-46295-0_17