Talks and Poster Presentations (with Proceedings-Entry):

H. Truong, G. Copil, S. Dustdar, D. Le, D. Moldovan, S. Nastic:
"On Engineering Analytics for Elastic IoT Cloud Platforms";
Talk: 14th International Conference on Service Oriented Computing (ICSOC 2016), Banff, Alberta, Canada; 2016-10-10 - 2016-10-13; in: "Service-Oriented Computing, 14th International Conference, ICSOC 2016, Proceedings", Q. Sheng, E. Stroulia, S. Tata, S. Bhiri (ed.); Springer International Publishing, LNCS 9936 (2016), ISBN: 978-3-319-46294-3; 267 - 281.

English 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.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Related Projects:
Project Head Schahram Dustdar:
Automatic Elasticity Provisioning Platform for Cloud Applications

Project Head Hong-Linh Truong:
Testing Cyber-Physical Systems under Uncertainlty, Systematic, Extensible, and Configurable Model-based and Search-based Testing Methodologies

Created from the Publication Database of the Vienna University of Technology.