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Nice, France
December 16-18th, 2013

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Invited Speakers


  • Marcos Aguilera, Microsoft Research, USA
    • Geo-Distributed Storage in Data Centers: Data centers increasingly have a storage system that is {\em geo-distributed}, that is, distributed across several geographic locations. We explain the general characteristics of this setting and the challenges that it brings, chief among them the need to operate with low latency despite significant network delays. These challenges lead to many interesting problems: migrating data online, dealing with congestion, providing efficient transactions, and more. We discuss these problems and some recent solutions, which bring together techniques from distributed computing, distributed systems, and database systems. Despite much progress, however, several algorithmic and fundamental questions remain open and serve as inspiration for further investigation.

  • Eitan Altman, Inria, France
    • Dynamic game models in complex systems: We begin the tutorial with a theoretic part that covers two areas: non-cooperative game theory, and population propagation models. In the game theory part, a particular attention will be given to potential games. We shall focus in particular on congestion games and on the game version of the generalized Kelly mechanism problem, both of which are known to be potential games. In our presentation of models for population propagation models, we shall present several models which we shall classify according to the size of population of potential interested destination nodes (which can be finite and constant, finite but non-constant or infinite), and the virality of the content. This will include branching and epidemic models. We shall then use these tools to study various applications to large networks. This will include (1) security issues related to e-virus attacks, (2) the question of what type of content should service providers specialis in, which will be solved by transforming it into an equivalent congestion game, (3) issues related to viral marketing and competition issues in social networks. In these problems the generalized Kelly mechanism will be frequently used. The game theoretic analysis will allow us to get insight on how much to spend on advertising products and on what product should we advertise.