M2 internship topic

Topic: optimal decision for prefetching under uncertainty Supervisors: Alain Jean-Marie, Sara Alouf, Inria NEO project-team, Sophia Antipolis Place: Sophia-Antipolis. Résumé: Prefetching is a basic technique used to reduce the latency of diverse computer services. Its principle is to bring proactively information at the “closest” of where it might be used, with the risk that it might never been used at all. Deciding what to prefetch amounts to make a compromise between latency and the waste of resources (network bandwidth, storage, energy) if contents is mistakenly prefetched. Modeling the problem in case of web/video/gaming navigation, is done by identifying a graph of “documents” connected by links representing the possible chaining. A surfer, either random or strategic, browses this graph. The prefetching…

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