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.
Cite
CITATION STYLE
Truong, H. L., Copil, G., Dustdar, S., Le, D. H., Moldovan, D., & Nastic, S. (2016). On engineering analytics for elastic IoT cloud platforms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9936 LNCS, pp. 267–281). Springer Verlag. https://doi.org/10.1007/978-3-319-46295-0_17
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