Description
Date depot: 1 janvier 1900
Titre: Tarification robuste de ressources cloud en utilisant la théorie des jeux à champs moyen
Directeur de thèse:
Patrick LOISEAU (LIG)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Non defini
Resumé:
Cloud computing has now become the main paradigm for computing, storage and many other applications, for both companies and individuals. An appropriate pricing schemes for cloud resources is therefore of great importance for cloud providers to maximize their revenue. Currently, cloud providers mostly use a fixed usage-based pricing, sometimes in association with a spot market to sell remaining resources through auctions. However, preliminary studies have shown that this pricing scheme may not be optimal [1]. This leaves open the crucial question of how to optimally price cloud resources.
One of the main difficulties in designing a good pricing scheme is that optimizing the scheme’s parameters generally requires knowledge of the variation of user demand with prices. Such information is very hard to estimate. Therefore, a key aspect of the designed pricing scheme considered in this PhD will be its robustness to mis-estimation of the users reaction to prices. To design a robust pricing scheme, a possible source of inspiration will be the concept of probabilistic pricing, recently proposed in [2,3], which was shown to exhibit interesting robustness properties in a different context.
Doctorant.e: Wu Xiaohu