Yewan Wang

Yewan Wang
Miratlas

Doctor of Philosophy
Industriel system modeling; Time-series forecasting; Atmospheric data analysis

About

7
Publications
1,549
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38
Citations

Publications

Publications (7)
Article
Periodic Jump processes commonly occur in complex industrial systems. As the systems vary dynamically between different stages, learning their dynamics in an unified model, so as to forecast and simulation accurately is challenging. In this study, we propose Autonomous jump Ordinary Differential Equation Net (AJ-ODENet) to learn the continuous-time...
Article
The growing cloud computing infrastructures increase the demand for energy-intensive machines, such as high-performance servers and the associated cooling system. That brings challenges to the energy management of the concerned modern buildings such as the data centers. Transient Thermal System Modeling (TTSM) is an essential solution to illustrate...
Article
Full-text available
In this paper, we focus on measuring the dissimilarity between preferences with uncertainty and imprecision, modelled by evidential preferences based on the theory of belief functions. Two issues are targeted: The first concerns the conflicting interpretations of incomparability, leading to a lack of consensus within the preference modelling commun...
Thesis
For years, the energy consumption of the data center has dramatically increased followed by the explosion of demand in cloud computing. This thesis addresses the scientific challenge of energy modeling of a data center, based on the most important variables. With such modeling, an data center operator will be able to better reallocate / design the...
Article
Full-text available
Cloud datacenters are compute facilities formed by hundreds or even thousands of servers. With the increasing demand of cloud services, energy efficiency of servers in data center has become a significant issue. The knowledge of the energy consumption corresponding to hardware and software configuration is important for operators to optimize energy...
Conference Paper
Full-text available
La consommation énergétique croissante des data centers dans la consommation mondiale suscite beaucoup d’inquiétude. Dans un contexte d’évolution et de multiplication des services (Cloud, Big Data, vidéo à la demande sur appareil mobile, etc.), la maîtrise de cette consommation devient stratégique. Les études récentes montrent qu’en plus des sollic...

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