Fog computing systems: State of the art, research issues and future trends, with a focus on resilience
J Moura, D Hutchison - Journal of Network and Computer Applications, 2020 - Elsevier
Many future innovative computing services will use Fog Computing Systems (FCS),
integrated with Internet of Things (IoT) resources. These new services, built on the …
integrated with Internet of Things (IoT) resources. These new services, built on the …
A deep learning and gamification approach to improving human-building interaction and energy efficiency in smart infrastructure
In this paper, we propose a gamification approach as a novel framework for smart building
infrastructure with the goal of motivating human occupants to consider personal energy …
infrastructure with the goal of motivating human occupants to consider personal energy …
Design automation for smart building systems
Smart buildings today are aimed at providing safe, healthy, comfortable, affordable, and
beautiful spaces in a carbon and energy-efficient way. They are emerging as complex cyber …
beautiful spaces in a carbon and energy-efficient way. They are emerging as complex cyber …
Mechanism design theory in control engineering: A tutorial and overview of applications in communication, power grid, transportation, and security systems
IV Chremos, AA Malikopoulos - IEEE Control Systems …, 2024 - ieeexplore.ieee.org
This article provides an introduction to the theory of mechanism design and its application to
engineering problems. Our aim is to provide the fundamental principles of mechanism …
engineering problems. Our aim is to provide the fundamental principles of mechanism …
Emulating the expert: Inverse optimization through online learning
A Bärmann, S Pokutta… - … Conference on Machine …, 2017 - proceedings.mlr.press
In this paper, we demonstrate how to learn the objective function of a decision maker while
only observing the problem input data and the decision maker's corresponding decisions …
only observing the problem input data and the decision maker's corresponding decisions …
Design, benchmarking and explainability analysis of a game-theoretic framework towards energy efficiency in smart infrastructure
In this paper, we propose a gamification approach as a novel framework for smart building
infrastructure with the goal of motivating human occupants to reconsider personal energy …
infrastructure with the goal of motivating human occupants to reconsider personal energy …
An online-learning approach to inverse optimization
A Bärmann, A Martin, S Pokutta… - arXiv preprint arXiv …, 2018 - arxiv.org
In this paper, we demonstrate how to learn the objective function of a decision-maker while
only observing the problem input data and the decision-maker's corresponding decisions …
only observing the problem input data and the decision-maker's corresponding decisions …
5G Network Communication, Caching, and Computing Algorithms Based on the Two‐Tier Game Model
S Kim - Etri Journal, 2018 - Wiley Online Library
In this study, we developed hybrid control algorithms in smart base stations (SBSs) along
with devised communication, caching, and computing techniques. In the proposed scheme …
with devised communication, caching, and computing techniques. In the proposed scheme …
Three-Operator Splitting for Learning to Predict Equilibria in Convex Games
Systems of competing agents can often be modeled as games. Assuming rationality, the
most likely outcomes are given by an equilibrium, eg, a Nash equilibrium. In many practical …
most likely outcomes are given by an equilibrium, eg, a Nash equilibrium. In many practical …
Inverse modeling of non-cooperative agents via mixture of utilities
We describe a new method of parametric utility learning for non-cooperative, continuous
games using a probabilistic interpretation for combining multiple utility functions-thereby …
games using a probabilistic interpretation for combining multiple utility functions-thereby …