25 Juni

Fostering blockchain in Cloud and Fog environments with a Smart Contract recommender system

Veranstaltungsort: S.2.42 - Dynatrace

Abstract: Public Smart Contracts enabling ledgers such as Ethereum may be used to automate the operation of Cloud computing applications in various contexts. This may contribute to fine-grained Cloud and Fog computing operations addressing important high-level functional requirements. However, integrating blockchain and Smart Contracts with Cloud and Fog computing architectures is still manual and often challenging. Software engineers must manually map their use cases‘ requirements with or without using available Smart Contract templates. This presentation comprehensively introduces a new Blockchain recommender system that helps facilitate the integration of Ethereum Virtual Machine-based Smart Contracts in Cloud and Fog computing architectures where the data flow includes off-chain mechanisms such as Smart Oracles that can further contribute to the seamless integration of applications and their deployment in Cloud and Fog computing architectures. The presentation first focuses on the primary motivation and the selected domains. Further, the recommender system main building blocks are presented. Finally, the evaluation of the system is not limited to experimental studies but also outlines further possibilities for tailoring the recommender system to specific target groups (e.g. students, DeFi developers, Cloud and Fog system developers, and others).

25 Juni

Peace (Education) Now!

Veranstaltungsort: Stiftungssaal (Universität Klagenfurt, Servicegebäude)

Das ZFF feiert sein 20jähriges Bestehen mit Rückblick, Festvortrag, Präsentation aktueller Projekte, Buchvorstellung, Podiumsdiskussion und hoffentlich zahlreichen Begegnungen.

25 Juni

Talk by Assoc. Prof. Katia Colaneri

Veranstaltungsort: N.2.35

We study the problem of a profit maximizing electricity producer who has to pay carbon taxes and who decides on investments into technologies for the abatement of CO2 emissions in an environment where carbon tax policy is random and where the investment in the abatement technology is divisible, irreversible and subject to transaction costs.We consider two approaches for modelling the randomness in taxes. First we assume a precise probabilistic model for the tax process, namely a pure jump Markov process (so-called tax risk); this leads to a stochastic control problem for the investment strategy. Second, we analyze the case of an uncertainty-averse producer who uses a differential game to decide on optimal production and investment. We carry out a rigorous mathematical analysis of the producer's optimization problem and of the associated nonlinear PDEs in both cases. Numerical methods are used to study quantitative properties of the optimal investment strategy.