Team tao

Members
Overall Objectives
Scientific Foundations
Application Domains
Software
New Results
Contracts and Grants with Industry
Other Grants and Activities
Dissemination
Bibliography

Section: New Results

Autonomous Computing

Participants : Cécile Germain-Renaud, Michèle Sebag, Balázs Kégl, Tamas Elteto, Xiangliang Zhang, Julien Perez, Yusik Kim, Julien Nauroy.

Autonomous Comping seeks for various self properties.

Self-configuration

[19] , [5] proposes a model-free resource provisioning strategy supporting both responsiveness, as provided by elastic Clouds, in the Infrastructure as a Service (IaaS) paradigm, and organized resource sharing, as provided by grids. Provisioning is modeled as a continuous action-state space, multi-objective reinforcement learning (RL) problem; simple utility functions capture the high level goals of users, administrators, and shareholders. The RL model includes an approximation of the continuous value function through an Echo State Network. Experimental validation on a real data-set from the EGEE grid shows that introducing a moderate level of elasticity is key to enable self-optimization.

Self-awareness

In order for an autonomic system to continuously infer knowledge from its monitoring (the so-called MAPE-K, Monitor-Analyze-Plan-Execute-Knowledge) loop, the likely non-stationarity must be taken into account, thus a focus on the associated detection of ruptures or regime. This detection is critical to create parsimonious and exploitable models of grid workloads [63] .

Self-protection

In this on-line context, the detection of ruptures has to comply with real-time constraints. While a-priori parameter (here the threshold in the Page-Hinkley test) setting may be sufficient for some practical tasks [71] , a more principled approach formalizes the adaptation of the parameter as an optimization problem [100] , [7] .

Visualization

Visualization of the dynamics of the complex networks associated with e-science and applications can give insights for integrating the models developed in each of the previous studies. In collaboration with the GraphDice project of the AVIZ team (INRIA-Saclay), a visualization tool is developed [79] .


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