Q. Baert, A. Caron, M. Morge, and J. Routier, Allocation équitable de tâches pour l'analyse de données massives, JFSMA, pp.55-64, 2016.

Q. Chen, D. Zhang, M. Guo, Q. Deng, and S. Guo, SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment, 2010 10th IEEE International Conference on Computer and Information Technology, pp.2736-2743, 2010.
DOI : 10.1109/CIT.2010.458

G. Clair, M. Gleizes, E. Kaddoum, and G. Picard, Approches multi-agents auto-organisatrices pour un contrôle manufacturier intelligent et adaptatif, JFSMA, pp.191-200, 2008.

J. Dean and S. Ghemawat, Map- Reduce : Simplified data processing on large clusters, SOSDI, pp.137-150, 2004.

Y. M. Essa, G. Attiya, and A. Sayed, Mobile Agent Based New Framework for Improving Big Data Analysis, 2013 International Conference on Cloud Computing and Big Data, pp.25-32, 2014.
DOI : 10.1109/CLOUDCOM-ASIA.2013.75

J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart et al., Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS, Proceedings of the Twelfth International Conference on Data Engineering, pp.29-53, 1997.
DOI : 10.1109/ICDE.1996.492099
URL : http://arxiv.org/abs/cs/0701155

B. Gufler, N. Augsten, A. Reiser, and A. Kemper, Handling data skew in mapreduce, ICCCSS, pp.574-583, 2011.

C. Hewitt, P. Bishop, and R. Steiger, A universal modular actor formalism for artificial intelligence, IJCAI, pp.235-245, 1973.

Y. Kwon, M. Balazinska, B. Howe, R. , and J. , SkewTune, Proceedings of the 2012 international conference on Management of Data, SIGMOD '12, pp.25-36, 2012.
DOI : 10.1145/2213836.2213840

P. Lama and X. Zhou, AROMA, Proceedings of the 9th international conference on Autonomic computing, ICAC '12, pp.63-72, 2012.
DOI : 10.1145/2371536.2371547

W. Li, Random texts exhibit Zipf's-law-like word frequency distribution, IEEE Transactions on Information Theory, vol.38, issue.6, pp.1842-1845, 1992.
DOI : 10.1109/18.165464
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.8422

J. Lin, The curse of zipf and limits to parallelization : A look at the stragglers problem in mapreduce, Workshop on Large-Scale Distributed Systems for Information Retrieval, p.2009, 2009.

M. Liroz-gistau, R. Akbarinia, and P. Valduriez, FP-Hadoop, Proceedings of the VLDB Endowment, vol.8, issue.12, pp.1856-1859, 2015.
DOI : 10.14778/2824032.2824085
URL : https://hal.archives-ouvertes.fr/lirmm-01377715

P. Mathieu, J. Routier, and Y. Secq, Principles for Dynamic Multi-agent Organizations, PRIMA, pp.109-122, 2002.
DOI : 10.1007/3-540-45680-5_8
URL : https://hal.archives-ouvertes.fr/hal-00732049

A. Nongaillard and A. Mathieu, EGALITARIAN NEGOTIATIONS IN AGENT SOCIETIES, Applied Artificial Intelligence, vol.14, issue.9, pp.799-821, 2011.
DOI : 10.1109/5254.988492
URL : https://hal.archives-ouvertes.fr/hal-00825533

A. Nongaillard, P. Mathieu, and B. Jaumard, La négociation du bien-être social utilitaire, JFSMA, pp.55-64, 2008.
DOI : 10.3166/ria.23.651-672

A. Verma, L. Cherkasova, and R. Campbell, ARIA, Proceedings of the 8th ACM international conference on Autonomic computing, ICAC '11, pp.235-244, 2011.
DOI : 10.1145/1998582.1998637

I. Wagner, M. , L. Bruckstein, and A. M. , Distributed covering by ant-robots using evaporating traces, IEEE Transactions on Robotics and Automation, vol.15, issue.5, pp.918-933, 1999.
DOI : 10.1109/70.795795
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.73.9988