Themis - Trustworthy and Sustainable Code Offloading
Themis - Trustworthy and Sustainable Code Offloading
Disciplines
Other Technical Sciences (20%); Computer Sciences (80%)
Keywords
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Edge Computing,
Sustainable ICT,
Geographically distributed machine learning,
Code Offloading,
Fault tolerance
The goal of Themis project is to devise fundamentals for the new groundbreaking generation of geographically distributed probabilistic operating systems unifying computation and communication facilities. The idea is to instantly offload arbitrary portions of the code from the end device (like the IoT sensors) to the arbitrary computational surrogates that might be an idle node, your personal laptop, a raspberry pi or any other computational facility. The challenge is to achieve sustainability, while facilitating low latency of hyper heterogeneous, highly volatile tactile Internet applications. Our ambitions in Themis are enabled by the recent developments in Edge computing, a new concept bringing computation and data storage closer to the location where it is needed and by probabilistic large scale near real time systems relying on Markov Chains -- both areas pioneered by the PI. Besides very concrete use cases within intelligent traffic management and hybrid classic/quantum architectures, we identified the innovation potential in the area of Microgrids and Earth Science.
- Technische Universität Wien - 100%
- Thomas Monz, Universität Innsbruck , national collaboration partner
Research Output
- 2 Citations
- 3 Publications
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2024
Title Paving the way to hybrid quantum–classical scientific workflows DOI 10.1016/j.future.2024.04.030 Type Journal Article Author Cranganore S Journal Future Generation Computer Systems Pages 346-366 Link Publication -
2024
Title Machine Learning Workflows in the Computing Continuum for Environmental Monitoring DOI 10.1007/978-3-031-63775-9_27 Type Book Chapter Author Catalfamo A Publisher Springer Nature Pages 368-382 -
2024
Title The computing continuum: From IoT to the cloud DOI 10.1016/j.iot.2024.101272 Type Journal Article Author Al-Dulaimy A Journal Internet of Things Pages 101272 Link Publication