Publication
Integrating Heuristic and Machine-Learning Methods for Efficient Virtual Machine Allocation in Data Centers
Related publications (38)
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The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...
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Cutting plane methods are a fundamental approach for solving integer linear programs (ILPs). In each iteration of such methods, additional linear constraints (cuts) are introduced to the constraint set with the aim of excluding the previous fractional opti ...
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Computing servers have played a key role in developing and processing emerging compute-intensive applications in recent years. Consolidating multiple virtual machines (VMs) inside one server to run various applications introduces severe competence for limi ...
2024Optimizing Sales Forecasting, Inventory, Pricing and Sourcing Decisions
In this thesis we address various factors that contribute both theoretically and practically to mitigating supply demand mismatches. The thesis is composed of three chapters, where each chapter is an independent scientific paper. In the first paper, we dev ...
EPFL2023Photonic radar for contactless vital sign detection
Vital sign detection is used across ubiquitous scenarios in medical and health settings, and contact and wearable sensors have been widely deployed. However, they are unsuitable for patients with burn wounds or infants with insufficient areas for attachmen ...
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In our memory-obsessed time, cities have become places for the elaboration of images of the past that serve as a background for understanding, legitimizing, or contesting urban transformations. How are these cultural representations produced? How are they ...
2022Integrating advanced discrete choice models in mixed integer linear optimization
Michel Bierlaire, Bernard Gendron
In many transportation systems, a mismatch between the associated design and planning decisions and the demand is typically encountered. A tailored system is not only appealing to operators, which could have a better knowledge of their operational costs, b ...
PERGAMON-ELSEVIER SCIENCE LTD2021Data reduction for mixed integer linear programming in complex energy systems
François Maréchal, Luc Girardin, Julia Granacher, Luise Middelhauve, Natalija Ljubic
The task of optimally designing and scheduling energy systems with a high share of renewable energies is complex and computationally demanding. A widespread method for tackling this task is to apply mixed integer linear programming (MILP). Even though the ...
2021ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power Markets
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Modern datacenters need to tackle efficiently the increasing demand for computing resources while minimizing energy usage and monetary costs. Power market operators have recently introduced emerging demand-response programs, in which electricity consumers ...
2020Adaptive hot water production based on Supervised Learning
Dolaana Khovalyg, Amirreza Heidari
A major challenge in the common approach of hot water generation in residential houses lies in the highly stochastic nature of domestic hot water (DHW) demand. Learning hot water use behavior enables water heating systems to continuously adapt to the stoch ...
2020