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CPS/IoT Cloud Server is a general purpose large-scale computing platform for hosting cloud applications, high-performance computing and mass storage. A Cyber-Physical System research is highly dependant on the ability to analyse large amount of data and detect features that will reveal new aspects in research or help to improve a system or an application. Cloud servers are flexible computing platforms reachable through Internet and provide enormous performance and storage capabilities. This allows TU Wien and its cooperation partners to perform research experiments without limitations of commercial cloud platforms. The CPS/IoT Cloud Server will be implemented in two stages, first stage is a general purpose computing platform for diverse purposes, and the second stage is GPU cluster for high-performance computing designed for Artificial Intelligence and Machine Learning research.
Hosting Cloud IoT Applications
Mass Data Storage
Sustainability for cloud, fog and IoT applications
Quality of Service for cloud, fog and IoT applications
Methods & Expertise for Research Infrastructure
The CPS/IoT Cloud Server is built in cooperation between three groups at TU Wien: Cyber-Physical Systems Group, Distributed Systems Group and Business Informatics Group. Cyber-Physical Systems Group lead by Prof. Radu Grosu is working IoT use cases with requirements for high computing performance. Distributed Systems Group lead by Prof. Sharam Dustar is working on the design and implementation of the cloud server, with focus on hardware setup and software infrastructure for a cloud server environment. Business Informatics Group lead by Prof. Gerti Kappel is working on advanced modeling and simulation techniques that provide ability to prototype large scale applications and ensure conformity to specifications.
Institute for Science and Technology Austria (IST Austria)
CPS/IoT Ecosystem: Indoor Vertical Farming System, Haris Isakovic et.al., 2019 IEEE 23rd International Symposium on Consumer Technologies (ISCT), Ancona, Italy, http://cpsiot.at/?p=257
Sensyml: Simulation Environment for large-scale IoT Applications, Haris Isakovic et.al., IEEE/IES IECON 2019, September 2019, Lisbon, Portugal, http://cpsiot.at/?p=251
Demo: A System for Operating Energy-Aware Cloudlets, Thomas Rausch, Philipp Raith, Padmanabhan Pillai, Scharam Dustar, 4th ACM/IEEE Symposium on Edge Computing, http://cpsiot.at/?p=235