J. Dean and S. Ghemawat, MapReduce, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008.
DOI : 10.1145/1327452.1327492

M. Parashar, J. M. Pierson, K. Li, C. Hsu, L. Yang et al., Pervasive Grids, Handbook of Research on Scalable Computing Technologies. IGI Global, pp.14-30, 2010.
DOI : 10.4018/978-1-60566-661-7.ch002

A. P. Nascimento, C. Boeres, and V. E. Rebello, Dynamic self-scheduling for parallel applications with task dependencies, Proceedings of the 6th international workshop on Middleware for grid computing, MGC '08, pp.1-1, 2008.
DOI : 10.1145/1462704.1462705

K. A. Kumar, V. K. Konishetty, K. Voruganti, and G. V. Rao, CASH, Proceedings of the International Conference on Advances in Computing, Communications and Informatics, ICACCI '12, pp.52-61
DOI : 10.1145/2345396.2345406

M. Zaharia, A. Konwinski, A. D. Joseph, R. Katz, and I. Stoica, Improving mapreduce performance in heterogeneous environments, Proceedings of the 8th USENIX conference on Operating systems design and implementation; OSDI'08, pp.29-42, 2008.

A. Rasooli and D. G. Down, Coshh: A classification and optimization based scheduler for heterogeneous hadoop systems In: Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis; SCC '12, pp.1284-1291

T. Sandholm and K. Lai, Dynamic Proportional Share Scheduling in Hadoop, Proceedings of the 15th International Conference on Job Scheduling Strategies for Parallel Processing; JSSPP'10, pp.110-131, 2010.
DOI : 10.1007/978-3-642-16505-4_7

L. A. Steffenel, O. Flauzac, A. S. Charão, P. P. Barcelos, B. Stein et al., PER-MARE: Adaptive Deployment of MapReduce over Pervasive Grids, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, pp.17-24, 2013.
DOI : 10.1109/3PGCIC.2013.10
URL : https://hal.archives-ouvertes.fr/hal-00903718

Z. Maamar, D. Benslimane, and N. C. Narendra, What can context do for web services?, Communications of the ACM, vol.49, issue.12, pp.98-103, 2006.
DOI : 10.1145/1183236.1183238

M. Baldauf, S. Dustdar, and F. Rosenberg, A survey on context-aware systems, International Journal of Ad Hoc and Ubiquitous Computing, vol.2, issue.4, pp.263-277, 2007.
DOI : 10.1504/IJAHUC.2007.014070
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.9253

C. Tian, H. Zhou, Y. He, and L. Zha, A Dynamic MapReduce Scheduler for Heterogeneous Workloads, 2009 Eighth International Conference on Grid and Cooperative Computing, pp.218-224, 2009.
DOI : 10.1109/GCC.2009.19

M. Isard, V. Prabhakaran, J. Currey, U. Wieder, K. Talwar et al., Quincy, Proceedings of the ACM SIGOPS 22nd symposium on Operating systems principles, SOSP '09, pp.261-276, 2009.
DOI : 10.1145/1629575.1629601

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

J. Xie, X. Ruan, Z. Ding, Y. Tian, J. Majors et al., Improving mapreduce performance through data placement in heterogeneous hadoop clusters, Parallel and Distributed Processing, Workshops and Phd Forum, 2010.

F. Marozzo, D. Talia, and P. Trunfio, P2P-MapReduce: Parallel data processing in dynamic Cloud environments, Journal of Computer and System Sciences, vol.78, issue.5, pp.1382-1402, 2012.
DOI : 10.1016/j.jcss.2011.12.021

. Oracle, Overview of java se monitoring and management, 2014.

P. Hunt, M. Konar, F. P. Junqueira, and B. Reed, Zookeeper: Wait-free coordination for internet-scale systems, Proceedings of the USENIX Annual Technical Conference, pp.11-11

G. Cassales, A. Charao, M. Kirsch-pinheiro, C. Souveyet, and L. Steffenel, Bringing context to apache hadoop, 8th International Conference on Mobile Ubiquitous Computing, 2014.