Overview Slides

Presentation at the 4^th User Forum

Activity report at EGEE'09

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Publications

J. Perez, C. Germain-Renaud, B. Kegl, C. Loomis. Multiobjective reinforcement learning for responsive grids. Journal of Grid Computing 8:3 Sep. 2010

T. Elteto, P. Bondon, C. Germain-Renaud,  M. Sebag Discovering Linear Models of Grid  Workload. In CCGrid 2010. Preprint

X. Zhang, C. Furtlehner, J. Perez, C. Germain-Renaud,  M. Sebag, " Toward Autonomic Grids: Analyzing the Job Flow with Affinity Streaming. 15th ACM Conf. on Knowledge Discovery and Data Mining (SIGKDD'2009)

X. Zhang, C. Furtlehner, C. Germain-Renaud and M. Sebag,  " G-StrAP: A 2-level Real-time Grid Monitoring System". 11rd Conf?rence francophone sur l'Apprentissage artificiel (CAp'2009)

Loomis, C. 2009. The grid observatory. 6th IEEE Int. Conf. on Autonomic Computing,  Grids Meets Autonomic Computing workshop, 2009, ACM

D. Lingrand, J. Montagnat,T. Glatard. Modeling user submission strategies on production grids. 18th ACM International Symposium on High Performance Distributed Computing (HPDC'09),

D. Lingrand, J. Montagnat, J. Martyniak, D. Colling. Analyzing the EGEE production grid workload: application to jobs submission optimization.14th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP'09), Springer.

J. Perez, C. Germain-Renaud, B. Kegl, C. Loomis. Responsive Elastic Computing. 6th IEEE Int. Conf. on Autonomic Computing,  Grids Meets Autonomic Computing workshop, 2009, ACM

Ilija?ić, L. and Saitta, L. Characterization of a computational grid as a complex system. 6th IEEE Int. Conf. on Autonomic Computing,  Grids Meets Autonomic Computing workshop, 2009, ACM

Ilija?ić, L. and Saitta, L. Statistical Characterization of a Computer Grid. 18th International Symposium on Methodologies for Intelligent Systems, ISMIS 2009. Springer

Xiangliang Zhang, Michele Sebag, Cecile Germain-Renaud. Multi-scale grid monitoring with job stream mining. In CCGrid 2009 pdf

Germain-Renaud C., Perez J., Kegl B., Loomis C. Grid Differentiated Services: a Reinforcement Learning Approach In 8th IEEE International Symposium on Cluster Computing and the Grid (2008) pdf

Julien Perez, Cecile Germain-Renaud, Balazs Kegl, C. Loomis. Utility-based Reinforcement Learning for Reactive Grids. In the 5th IEEE International Conference on Autonomic Computing (2008) pdf

Xiangliang Zhang, Cyril Furtlehner, Michele Sebag. Distributed and Incremental Clustering Based on Weighted Affinity Propagation. In the fourth European Starting AI Researcher Symposium (STAIRS) (2008) pdf

Xiangliang Zhang, Cyril Furtlehner, Michele Sebag. Frugal and Online Affinity Propagation. In Conference francophone sur l'Apprentissage (CAP) (2008) pdf

Xiangliang Zhang, Michele Sebag, Cecile Germain. Modelisation des taches d'une grille de calcul. In 16th congres francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA) (2008) pdf

Xiangliang Zhang, Cyril Furtlehner, Michele Sebag. Data Streaming with Affinity Propagation. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (2008) pdf

Other documents

The technical documentation. This document presents the traces provided by the Grid Observatory. The goals of the document are to provide a basic introduction of the role and thus possible use of each trace for scientific research; this very introductory material is not a substitute for the documentation produced by the EGEE project; and to describe the format of the traces whenever possible.